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Dian E.

@diane038

monthly-level-three.svg
5.0
4

4.4

4.4

75%

Full-Stack Developer | API & Database Expert

$12 USD / Hour

・

Flag of

Indonesia (6:32 PM)

・

Joined on April 6, 2025

$12 USD / Hour

・

I am a Full-Stack Developer with strong expertise in web and app development, API integration, database management, and process automation. With over 3 years of experience, I have built and optimized various web applications using modern technologies such as React, Node.js, PHP, Laravel, Python, and MySQL. I specialize in creating scalable, high-performance, and secure solutions tailored to clients’ needs. My skills include: 1. Frontend & Backend Development 2. API Development & Integration 3. Database Design & Optimization 4. Web Scraping & Data Automation 5. Responsive & User-Friendly UI/UX I am passionate about delivering clean code, efficient solutions, and reliable results while maintaining excellent communication and on-time delivery. My goal is to help businesses grow through innovative and cost-effective technology solutions.

Verifications

On time

100%

On budget

100%

Accept rate

100%

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Portfolio

Portfolio

13551583
I developed an ACS Call Control Dashboard for a client, built using Python and Streamlit for web-based interaction, deployed on Ubuntu servers and managed with Azure cloud services. The dashboard provides comprehensive call management capabilities for call center operators. Key features include: Answer / End Call – Handle incoming and outgoing calls efficiently Hold / Resume – Manage call hold and resume operations Transfer Call – Forward calls to other agents or departments Mute / Unmute – Control microphone status during calls Token ID Management – Track unique call sessions securely Start Call / Hang Up – Initiate and terminate calls easily Real-time call status monitoring – Track active, held, or completed calls The dashboard leverages cloud deployment with Azure for scalability and Ubuntu servers for backend reliability. It allows administrators to monitor and control call operations in real-time, improving efficiency and operational control.

ACS Call Control Dashboard

I developed an ACS Call Control Dashboard for a client, built using Python and Streamlit for web-based interaction, deployed on Ubuntu servers and managed with Azure cloud services. The dashboard provides comprehensive call management capabilities for call center operators. Key features include: Answer / End Call – Handle incoming and outgoing calls efficiently Hold / Resume – Manage call hold and resume operations Transfer Call – Forward calls to other agents or departments Mute / Unmute – Control microphone status during calls Token ID Management – Track unique call sessions securely Start Call / Hang Up – Initiate and terminate calls easily Real-time call status monitoring – Track active, held, or completed calls The dashboard leverages cloud deployment with Azure for scalability and Ubuntu servers for backend reliability. It allows administrators to monitor and control call operations in real-time, improving efficiency and operational control.

ACS Call Control Dashboard

I developed an ACS Call Control Dashboard for a client, built using Python and Streamlit for web-based interaction, deployed on Ubuntu servers and managed with Azure cloud services. The dashboard provides comprehensive call management capabilities for call center operators. Key features include: Answer / End Call – Handle incoming and outgoing calls efficiently Hold / Resume – Manage call hold and resume operations Transfer Call – Forward calls to other agents or departments Mute / Unmute – Control microphone status during calls Token ID Management – Track unique call sessions securely Start Call / Hang Up – Initiate and terminate calls easily Real-time call status monitoring – Track active, held, or completed calls The dashboard leverages cloud deployment with Azure for scalability and Ubuntu servers for backend reliability. It allows administrators to monitor and control call operations in real-time, improving efficiency and operational control.

ACS Call Control Dashboard

I developed an ACS Call Control Dashboard for a client, built using Python and Streamlit for web-based interaction, deployed on Ubuntu servers and managed with Azure cloud services. The dashboard provides comprehensive call management capabilities for call center operators. Key features include: Answer / End Call – Handle incoming and outgoing calls efficiently Hold / Resume – Manage call hold and resume operations Transfer Call – Forward calls to other agents or departments Mute / Unmute – Control microphone status during calls Token ID Management – Track unique call sessions securely Start Call / Hang Up – Initiate and terminate calls easily Real-time call status monitoring – Track active, held, or completed calls The dashboard leverages cloud deployment with Azure for scalability and Ubuntu servers for backend reliability. It allows administrators to monitor and control call operations in real-time, improving efficiency and operational control.

ACS Call Control Dashboard

13551574
I developed a Smart Agriculture Dashboard using Streamlit and GitHub for web deployment. The dashboard is designed to help farmers and local authorities monitor and manage agricultural activities efficiently. Key features include: Geolocation & Map Integration: Track farm locations and display interactive maps. Daily & Weekly Rainfall Charts: Visualize precipitation data for better planning. Humidity and Temperature Charts: Track daily and weekly high/low metrics. Crop Yield Calculation: Estimate harvest results based on input data. Fertilizer Calculation: Recommend fertilizer amounts for optimal growth. Chatbot Assistance: Provides instant guidance and answers farmer queries. Citizen Reporting: Submit reports or issues from farmers for faster response. Daily Reminders: Alerts for important farming tasks and schedules. This project stands out due to its real-time data visualization, interactive maps, and automated calculations, which help farmers make informed decision

Smart Agriculture Dashboard

I developed a Smart Agriculture Dashboard using Streamlit and GitHub for web deployment. The dashboard is designed to help farmers and local authorities monitor and manage agricultural activities efficiently. Key features include: Geolocation & Map Integration: Track farm locations and display interactive maps. Daily & Weekly Rainfall Charts: Visualize precipitation data for better planning. Humidity and Temperature Charts: Track daily and weekly high/low metrics. Crop Yield Calculation: Estimate harvest results based on input data. Fertilizer Calculation: Recommend fertilizer amounts for optimal growth. Chatbot Assistance: Provides instant guidance and answers farmer queries. Citizen Reporting: Submit reports or issues from farmers for faster response. Daily Reminders: Alerts for important farming tasks and schedules. This project stands out due to its real-time data visualization, interactive maps, and automated calculations, which help farmers make informed decision

Smart Agriculture Dashboard

I developed a Smart Agriculture Dashboard using Streamlit and GitHub for web deployment. The dashboard is designed to help farmers and local authorities monitor and manage agricultural activities efficiently. Key features include: Geolocation & Map Integration: Track farm locations and display interactive maps. Daily & Weekly Rainfall Charts: Visualize precipitation data for better planning. Humidity and Temperature Charts: Track daily and weekly high/low metrics. Crop Yield Calculation: Estimate harvest results based on input data. Fertilizer Calculation: Recommend fertilizer amounts for optimal growth. Chatbot Assistance: Provides instant guidance and answers farmer queries. Citizen Reporting: Submit reports or issues from farmers for faster response. Daily Reminders: Alerts for important farming tasks and schedules. This project stands out due to its real-time data visualization, interactive maps, and automated calculations, which help farmers make informed decision

Smart Agriculture Dashboard

I developed a Smart Agriculture Dashboard using Streamlit and GitHub for web deployment. The dashboard is designed to help farmers and local authorities monitor and manage agricultural activities efficiently. Key features include: Geolocation & Map Integration: Track farm locations and display interactive maps. Daily & Weekly Rainfall Charts: Visualize precipitation data for better planning. Humidity and Temperature Charts: Track daily and weekly high/low metrics. Crop Yield Calculation: Estimate harvest results based on input data. Fertilizer Calculation: Recommend fertilizer amounts for optimal growth. Chatbot Assistance: Provides instant guidance and answers farmer queries. Citizen Reporting: Submit reports or issues from farmers for faster response. Daily Reminders: Alerts for important farming tasks and schedules. This project stands out due to its real-time data visualization, interactive maps, and automated calculations, which help farmers make informed decision

Smart Agriculture Dashboard

I developed a Smart Agriculture Dashboard using Streamlit and GitHub for web deployment. The dashboard is designed to help farmers and local authorities monitor and manage agricultural activities efficiently. Key features include: Geolocation & Map Integration: Track farm locations and display interactive maps. Daily & Weekly Rainfall Charts: Visualize precipitation data for better planning. Humidity and Temperature Charts: Track daily and weekly high/low metrics. Crop Yield Calculation: Estimate harvest results based on input data. Fertilizer Calculation: Recommend fertilizer amounts for optimal growth. Chatbot Assistance: Provides instant guidance and answers farmer queries. Citizen Reporting: Submit reports or issues from farmers for faster response. Daily Reminders: Alerts for important farming tasks and schedules. This project stands out due to its real-time data visualization, interactive maps, and automated calculations, which help farmers make informed decision

Smart Agriculture Dashboard

I developed a Smart Agriculture Dashboard using Streamlit and GitHub for web deployment. The dashboard is designed to help farmers and local authorities monitor and manage agricultural activities efficiently. Key features include: Geolocation & Map Integration: Track farm locations and display interactive maps. Daily & Weekly Rainfall Charts: Visualize precipitation data for better planning. Humidity and Temperature Charts: Track daily and weekly high/low metrics. Crop Yield Calculation: Estimate harvest results based on input data. Fertilizer Calculation: Recommend fertilizer amounts for optimal growth. Chatbot Assistance: Provides instant guidance and answers farmer queries. Citizen Reporting: Submit reports or issues from farmers for faster response. Daily Reminders: Alerts for important farming tasks and schedules. This project stands out due to its real-time data visualization, interactive maps, and automated calculations, which help farmers make informed decision

Smart Agriculture Dashboard

13551560
I developed a Finance Tracker app using Python, KivyMD, and Buildozer for Android. This application allows users to: Login/Register with personal accounts Add and track daily financial transactions View income vs expenses charts Generate PDF/Excel reports Use multi-language support (ID/EN) and premium mode with Midtrans payment integration

Personal Finance & Expense Managemen

I developed a Finance Tracker app using Python, KivyMD, and Buildozer for Android. This application allows users to: Login/Register with personal accounts Add and track daily financial transactions View income vs expenses charts Generate PDF/Excel reports Use multi-language support (ID/EN) and premium mode with Midtrans payment integration

Personal Finance & Expense Managemen

I developed a Finance Tracker app using Python, KivyMD, and Buildozer for Android. This application allows users to: Login/Register with personal accounts Add and track daily financial transactions View income vs expenses charts Generate PDF/Excel reports Use multi-language support (ID/EN) and premium mode with Midtrans payment integration

Personal Finance & Expense Managemen

I developed a Finance Tracker app using Python, KivyMD, and Buildozer for Android. This application allows users to: Login/Register with personal accounts Add and track daily financial transactions View income vs expenses charts Generate PDF/Excel reports Use multi-language support (ID/EN) and premium mode with Midtrans payment integration

Personal Finance & Expense Managemen

13083233

Multi-Site Enterprise Network

13083227

Packter Tracker file

13083222

Automated Agent Payout System

13551583
I developed an ACS Call Control Dashboard for a client, built using Python and Streamlit for web-based interaction, deployed on Ubuntu servers and managed with Azure cloud services. The dashboard provides comprehensive call management capabilities for call center operators. Key features include: Answer / End Call – Handle incoming and outgoing calls efficiently Hold / Resume – Manage call hold and resume operations Transfer Call – Forward calls to other agents or departments Mute / Unmute – Control microphone status during calls Token ID Management – Track unique call sessions securely Start Call / Hang Up – Initiate and terminate calls easily Real-time call status monitoring – Track active, held, or completed calls The dashboard leverages cloud deployment with Azure for scalability and Ubuntu servers for backend reliability. It allows administrators to monitor and control call operations in real-time, improving efficiency and operational control.

ACS Call Control Dashboard

I developed an ACS Call Control Dashboard for a client, built using Python and Streamlit for web-based interaction, deployed on Ubuntu servers and managed with Azure cloud services. The dashboard provides comprehensive call management capabilities for call center operators. Key features include: Answer / End Call – Handle incoming and outgoing calls efficiently Hold / Resume – Manage call hold and resume operations Transfer Call – Forward calls to other agents or departments Mute / Unmute – Control microphone status during calls Token ID Management – Track unique call sessions securely Start Call / Hang Up – Initiate and terminate calls easily Real-time call status monitoring – Track active, held, or completed calls The dashboard leverages cloud deployment with Azure for scalability and Ubuntu servers for backend reliability. It allows administrators to monitor and control call operations in real-time, improving efficiency and operational control.

ACS Call Control Dashboard

I developed an ACS Call Control Dashboard for a client, built using Python and Streamlit for web-based interaction, deployed on Ubuntu servers and managed with Azure cloud services. The dashboard provides comprehensive call management capabilities for call center operators. Key features include: Answer / End Call – Handle incoming and outgoing calls efficiently Hold / Resume – Manage call hold and resume operations Transfer Call – Forward calls to other agents or departments Mute / Unmute – Control microphone status during calls Token ID Management – Track unique call sessions securely Start Call / Hang Up – Initiate and terminate calls easily Real-time call status monitoring – Track active, held, or completed calls The dashboard leverages cloud deployment with Azure for scalability and Ubuntu servers for backend reliability. It allows administrators to monitor and control call operations in real-time, improving efficiency and operational control.

ACS Call Control Dashboard

I developed an ACS Call Control Dashboard for a client, built using Python and Streamlit for web-based interaction, deployed on Ubuntu servers and managed with Azure cloud services. The dashboard provides comprehensive call management capabilities for call center operators. Key features include: Answer / End Call – Handle incoming and outgoing calls efficiently Hold / Resume – Manage call hold and resume operations Transfer Call – Forward calls to other agents or departments Mute / Unmute – Control microphone status during calls Token ID Management – Track unique call sessions securely Start Call / Hang Up – Initiate and terminate calls easily Real-time call status monitoring – Track active, held, or completed calls The dashboard leverages cloud deployment with Azure for scalability and Ubuntu servers for backend reliability. It allows administrators to monitor and control call operations in real-time, improving efficiency and operational control.

ACS Call Control Dashboard

13551574
I developed a Smart Agriculture Dashboard using Streamlit and GitHub for web deployment. The dashboard is designed to help farmers and local authorities monitor and manage agricultural activities efficiently. Key features include: Geolocation & Map Integration: Track farm locations and display interactive maps. Daily & Weekly Rainfall Charts: Visualize precipitation data for better planning. Humidity and Temperature Charts: Track daily and weekly high/low metrics. Crop Yield Calculation: Estimate harvest results based on input data. Fertilizer Calculation: Recommend fertilizer amounts for optimal growth. Chatbot Assistance: Provides instant guidance and answers farmer queries. Citizen Reporting: Submit reports or issues from farmers for faster response. Daily Reminders: Alerts for important farming tasks and schedules. This project stands out due to its real-time data visualization, interactive maps, and automated calculations, which help farmers make informed decision

Smart Agriculture Dashboard

I developed a Smart Agriculture Dashboard using Streamlit and GitHub for web deployment. The dashboard is designed to help farmers and local authorities monitor and manage agricultural activities efficiently. Key features include: Geolocation & Map Integration: Track farm locations and display interactive maps. Daily & Weekly Rainfall Charts: Visualize precipitation data for better planning. Humidity and Temperature Charts: Track daily and weekly high/low metrics. Crop Yield Calculation: Estimate harvest results based on input data. Fertilizer Calculation: Recommend fertilizer amounts for optimal growth. Chatbot Assistance: Provides instant guidance and answers farmer queries. Citizen Reporting: Submit reports or issues from farmers for faster response. Daily Reminders: Alerts for important farming tasks and schedules. This project stands out due to its real-time data visualization, interactive maps, and automated calculations, which help farmers make informed decision

Smart Agriculture Dashboard

I developed a Smart Agriculture Dashboard using Streamlit and GitHub for web deployment. The dashboard is designed to help farmers and local authorities monitor and manage agricultural activities efficiently. Key features include: Geolocation & Map Integration: Track farm locations and display interactive maps. Daily & Weekly Rainfall Charts: Visualize precipitation data for better planning. Humidity and Temperature Charts: Track daily and weekly high/low metrics. Crop Yield Calculation: Estimate harvest results based on input data. Fertilizer Calculation: Recommend fertilizer amounts for optimal growth. Chatbot Assistance: Provides instant guidance and answers farmer queries. Citizen Reporting: Submit reports or issues from farmers for faster response. Daily Reminders: Alerts for important farming tasks and schedules. This project stands out due to its real-time data visualization, interactive maps, and automated calculations, which help farmers make informed decision

Smart Agriculture Dashboard

I developed a Smart Agriculture Dashboard using Streamlit and GitHub for web deployment. The dashboard is designed to help farmers and local authorities monitor and manage agricultural activities efficiently. Key features include: Geolocation & Map Integration: Track farm locations and display interactive maps. Daily & Weekly Rainfall Charts: Visualize precipitation data for better planning. Humidity and Temperature Charts: Track daily and weekly high/low metrics. Crop Yield Calculation: Estimate harvest results based on input data. Fertilizer Calculation: Recommend fertilizer amounts for optimal growth. Chatbot Assistance: Provides instant guidance and answers farmer queries. Citizen Reporting: Submit reports or issues from farmers for faster response. Daily Reminders: Alerts for important farming tasks and schedules. This project stands out due to its real-time data visualization, interactive maps, and automated calculations, which help farmers make informed decision

Smart Agriculture Dashboard

I developed a Smart Agriculture Dashboard using Streamlit and GitHub for web deployment. The dashboard is designed to help farmers and local authorities monitor and manage agricultural activities efficiently. Key features include: Geolocation & Map Integration: Track farm locations and display interactive maps. Daily & Weekly Rainfall Charts: Visualize precipitation data for better planning. Humidity and Temperature Charts: Track daily and weekly high/low metrics. Crop Yield Calculation: Estimate harvest results based on input data. Fertilizer Calculation: Recommend fertilizer amounts for optimal growth. Chatbot Assistance: Provides instant guidance and answers farmer queries. Citizen Reporting: Submit reports or issues from farmers for faster response. Daily Reminders: Alerts for important farming tasks and schedules. This project stands out due to its real-time data visualization, interactive maps, and automated calculations, which help farmers make informed decision

Smart Agriculture Dashboard

I developed a Smart Agriculture Dashboard using Streamlit and GitHub for web deployment. The dashboard is designed to help farmers and local authorities monitor and manage agricultural activities efficiently. Key features include: Geolocation & Map Integration: Track farm locations and display interactive maps. Daily & Weekly Rainfall Charts: Visualize precipitation data for better planning. Humidity and Temperature Charts: Track daily and weekly high/low metrics. Crop Yield Calculation: Estimate harvest results based on input data. Fertilizer Calculation: Recommend fertilizer amounts for optimal growth. Chatbot Assistance: Provides instant guidance and answers farmer queries. Citizen Reporting: Submit reports or issues from farmers for faster response. Daily Reminders: Alerts for important farming tasks and schedules. This project stands out due to its real-time data visualization, interactive maps, and automated calculations, which help farmers make informed decision

Smart Agriculture Dashboard

13551560
I developed a Finance Tracker app using Python, KivyMD, and Buildozer for Android. This application allows users to: Login/Register with personal accounts Add and track daily financial transactions View income vs expenses charts Generate PDF/Excel reports Use multi-language support (ID/EN) and premium mode with Midtrans payment integration

Personal Finance & Expense Managemen

I developed a Finance Tracker app using Python, KivyMD, and Buildozer for Android. This application allows users to: Login/Register with personal accounts Add and track daily financial transactions View income vs expenses charts Generate PDF/Excel reports Use multi-language support (ID/EN) and premium mode with Midtrans payment integration

Personal Finance & Expense Managemen

I developed a Finance Tracker app using Python, KivyMD, and Buildozer for Android. This application allows users to: Login/Register with personal accounts Add and track daily financial transactions View income vs expenses charts Generate PDF/Excel reports Use multi-language support (ID/EN) and premium mode with Midtrans payment integration

Personal Finance & Expense Managemen

I developed a Finance Tracker app using Python, KivyMD, and Buildozer for Android. This application allows users to: Login/Register with personal accounts Add and track daily financial transactions View income vs expenses charts Generate PDF/Excel reports Use multi-language support (ID/EN) and premium mode with Midtrans payment integration

Personal Finance & Expense Managemen

13083233

Multi-Site Enterprise Network

13083227

Packter Tracker file

13083222

Automated Agent Payout System

5.0 · 4 Reviews
Reviews
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Quick AdSense Blog Approval • $20 USD

The project is not completed according to the dispute

Dev. Team Online

@rizwange4

•

Flag of

Karachi, Pakistan

•

19 days ago

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P

Property Search Assistant • $1,720 AUD

Can execute, professional, friendly

K K.

@projectshelper

•

Flag of

Sydney, Australia

•

5 months ago

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K

25-06-103 Collection of technical information on vehicle display systems • $50 USD

You were courteous and thorough in your work.

Kenichi O.

@KENKEN1980

•

Flag of

Nisshin-shi, Japan

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5 months ago

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M

Property & Casualty Insurance Agencies List • $240 USD

Ian stepped up and got the job done professionally and on time.

Lonnie M.

@mosslonnie

•

Flag of

Chester Township, United States

•

6 months ago

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Experience

Freelance Writer & Data Entry Specialist

Feb, 2022 - Present

•

3 years, 9 months

Self-Employed / Remote

Feb, 2022 - Present

•

3 years, 9 months

No Description Provided

User Avatar

Nur A.

@iana49

 ·

direct manager

He works very hard to achieve his goals, works well according to directions and orders, and has a wide range of skills.

Feb, 2022 - Present

•

3 years, 9 months

References

User Avatar

Nur A.

@iana49

 ·

Teammate in academic and freelance projects

Working with Dian E. has been a truly positive experience. As a reliable and proactive team member, Dian consistently demonstrates strong problem-solving skills, clear communication, and a keen attention to detail. Throughout our collaborations-both in academic group tasks and freelance projects-she showed great responsibility, met deadlines without fail, and contributed meaningfully to the team's success. Her ability to adapt quickly, think critically, and maintain professionalism under pressure makes her an asset in any project. I highly recommend her for any freelance work requiring dedication, quality, and teamwork.

Education

Universitas Hasanuddin

2022 - 2025

•

3 years

Engineering

Flag of

Indonesia

2022 - 2025

•

3 years

Qualifications

Recipient – ITTG (Innovation and Technology Grant)

2023

Hasanuddin University

Received a grant for developing innovative technology-based solutions.

2023

Finalist – PMW (Program Mahasiswa Wirausaha)

2024

Hasanuddin University

Selected as a finalist in a competitive student entrepreneurship program.

2024

Participant – PKM (Program Kreativitas Mahasiswa)

2024

Ministry of Education and Culture, Indonesia

Participated in a national-level student creativity program focused on research and innovation.

2024

Publications

Bussines

2025

https://uangpintar018.blogspot.com

https://uangpintar018.blogspot.com

2025

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