AI Operations Analytics Dashboard

@sajjadtaghvaeifr

Hello, I trust you're doing well. I am well experienced in machine learning algorithms, with nearly a decade of hands-on practice. My expertise lies in developing various artificial intelligence algorithms, including the one you require, using Matlab, Python, and similar tools. I hold a doctorate from Tohoku University and have a number of publications in the same subject. My portfolio, which showcases my past work, is available for your review. Your project piqued my interest, and I would be delighted to be part of it. Let's connect to discuss in detail. Warm regards. please check my portfolio link: https://www.freelancer.com/u/sajjadtaghvaeifr

@shivampanchal

Hello, Your project is exactly the kind of real-world AI analytics system I specialize in building. Since your operational data is already structured through Google Forms → Google Sheets, the foundation is excellent for creating a lightweight, intelligent command center with real-time insights and automation. I can help you design and develop a complete AI-powered operations analytics dashboard that transforms your daily sales and marketing activities into actionable business intelligence. What I can deliver: • Automated pipeline connecting directly with your existing Google Sheets • Real-time anomaly detection for spikes, drops, missing submissions, delayed follow-ups, and unusual operational behavior • Productivity trend analysis across employees, teams, territories, or regions • Planned vs actual execution tracking with overdue activity monitoring • Daily, weekly, and monthly KPI rollups generated automatically

@KrisuTechkul

Hi, we are a team of 20+ AI/ML Engineers based in Delhi - have completed 300+ projects with 100% client satisfaction & long term association. With over a decade of experience in software development and artificial intelligence, my team and I specialize in creating tailor-made AI solutions for complex business challenges, and your project is no exception. We have extensive proficiency using machine learning algorithms and deep learning architectures - including the specific ML models you mentioned such as Scikit-learn and TensorFlow. Our expertise in data analytics would ensure we turn your existing Google Sheets flow into a powerful, and lightweight AI-powered command center.  In regard to the dashboards, we're well-versed in Looker Studio, Power BI, and Tableau or even open to exploring other options that may fit this project better. Our goal is to meet your needs by developing interactive dashboards with trend lines, alert flags, drill-downs all powered by well-tuned models that are customizable by non-technical users like yourself.

@quan9824

Hi, this is exactly the kind of operational intelligence layer I enjoy building. You already have the hardest part solved — structured data collection through Google Forms and Sheets. What you need now is a lightweight analytics and automation engine that transforms those raw operational logs into actionable, real-time decision support. I would build a cloud-friendly Python pipeline connected directly to your Google Sheets API, where incoming records are processed continuously for anomaly detection, productivity scoring, territory execution tracking, follow-up delays, and trend analysis across individuals, teams, and regions. For anomaly detection and forecasting, I’d use lightweight ML models such as Isolation Forest, Prophet, or Scikit-learn-based classifiers depending on the data patterns and alert sensitivity required. The dashboards would be structured into: Sales performance monitoring Marketing activity tracking Overall business operations view I would also implement automated alerting via email or Slack for anomalies, missed follow-ups, territory gaps, or sudden performance changes within the required 15-minute window. The full system would include documentation, configurable thresholds/parameters for non-technical users, and a clean handoff process so your team can maintain and scale it comfortably over time.

@royalrandhawa

I can build this. Since your data collection flow is already structured properly through Google Forms + Sheets, the important part now is building the intelligence layer on top of it without overcomplicating the system. I can set up: - automated Google Sheets pipeline - anomaly detection - productivity trend tracking - planned vs actual execution analysis - realtime alerts - interactive dashboards with drilldowns and filters I’d keep the stack lightweight and maintainable while still making the analytics genuinely useful day-to-day instead of just generating charts that nobody uses. Can also handle: - Looker Studio / Power BI integration - Python/App Script automation - Slack/email alerting - configurable thresholds - region/team performance breakdowns - mobile-friendly dashboard experience The overall setup is very achievable since the raw operational data is already being captured cleanly.

@azwa04

Hi, I can easily DO your work IN 24 HOURS, DM me now to get started, PRICE NEGOTIABLE 100% Work satisfaction is provided.

@UzeeTech

As an experienced Full-Stack Developer well-versed in Python, AI and website design, I can deliver exactly what you're looking for - an all-encompassing solution that manages and processes your data seamlessly. Over the past 7+ years, I've built powerful, production-grade applications, AI-powered software and analytics dashboards for numerous organisations. My skillset includes expertise in Scikit-learn, TensorFlow and Django —and I'm confident these can be effectively implemented to transform your raw reports into a living command centre. My commitment to building user-friendly platforms means you and your team will be able to navigate and maintain the system easily. The interactive dashboards I create will highlight important trends, compare planned versus actual work, display trend lines and alert flags, which can all be adjusted by non-technical users on the fly. Furthermore, my systems include email or Slack alerts that trigger as soon as anomalies or overdue tasks are identified. Moreover, my experience in crafting cloud-friendly applications using Google Sheets stands as another advantage for your project. Harnessing the power of Looker Studio/ Tableau will provide you with intuitive filters alongside real-time insights based on your requirements.

@aidigitalhub

As a professional technology expert adept in artificial intelligence, machine learning and Python programming, I am ideally equipped to handle your project. My expertise lies in utilizing powerful analytics tools such as Scikit-learn and TensorFlow to build AI models that provide actionable business insights. In addition, my proficiency with Apps Scripts and data pipelines will enable seamless integration of your Google Sheets data and the subsequent deployment of your desired ML models. With great respect for the project's key requirements for an agile and user-friendly solution, I believe I can excel delivering the lightweight, cloud-friendly system you need. Handling large datasets and working effectively within constraints has always been part of my job. My solution-oriented approach will guarantee you the daily and weekly insights you need with ease, while at the same time offering roll-ups for monthly or longer periods that are done automatically. Furthermore, my focus is not only on building but also on ensuring sustainable support for the technologies implemented. I have a long-standing reputation for providing detailed documentation along with effective hand-off sessions to ensure a smooth transition post-project completion. Partnering with me means not just an intelligent AI Operations Analytics Dashboard tailored to your needs but also gaining a skilled technology expert who will continuously prioritize your organization's success.

@rajikshaikh1

As an established full-stack developer with expertise in data analysis and a strong understanding of Google Sheets and Apps Script, I am uniquely positioned to build the AI Operations Analytics Dashboard you need. Having successfully delivered more than 70 projects, I am no stranger to high-performance platforms, clean architecture, and real-time analytics—all of which are prerequisites for this project. I am fluent in Python and comfortable working with ML models like Scikit-learn and TensorFlow, strengthening my ability to design a lightweight, cloud-friendly pipeline while ensuring your team can easily maintain it. In addition to substantial technical expertise, I prioritize long-term maintainability in all my work; hence I ensure thorough documentation and a hand-off session following project completion. Equally important is my dedicated emphasis on business goals rather than just task solutions— in line with your need for daily insights, I guarantee timely alerts (within 15 minutes of form submission) and create a flexible parameter tuning approach that empowers you to adjust as needed. To transform your raw operational numbers into a dynamic command center that helps steer your daily sales & marketing efforts effectively, contact me today.

@kend27

Hi, Brief is clean — data's already structured, just need the intelligence layer. On "AI models": the analytics you need (anomaly, trend, planned-vs-actual) are mostly statistical, not deep learning. Rolling z-score + STL decomposition for spikes/dips; IsolationForest for multivariate. TensorFlow adds weight without benefit here — Scikit-learn + statsmodels keeps it lightweight per your spec. Stack: • Trigger: Apps Script on Form-submit posts the row to a Python Cloud Function. • Processing: anomaly + trend + planned-vs-actual variance in the function; results written back to a Sheets tab. • Dashboards: Looker Studio on the results tab — free, native Google, sub-5s with proper aggregation; better for non-technical users than Power BI/Tableau. Three pages: Sales / Marketing / Overall, shared filters. • Alerts: Cloud Function posts Slack + email on anomaly or overdue follow-up. ~15-min trigger met by event-driven path, not batch. Tunables: thresholds (z-score sensitivity, look-back window, min sample size) editable from a Config tab in Sheets — no redeploy. Phased delivery: • M1 (1.5 wk): Pipeline + anomaly + Sales dashboard. • M2 (1.5 wk): Trend + planned-vs-actual + Marketing + Overall + alerts. • M3 (0.5 wk): Docs + handover session. — Ken

@devanshkhandekar

Hi,I am a seasoned Applied ML Engineer(6+ yoe) & I can build this as a lightweight AI-powered business command centre on top of your existing Google Forms -> Google Sheets workflow,without disrupting your current data collection process Proposed Approach >>Data Pipeline:Automate Google Sheets ingestion via Python/Apps Script to clean records & track planned-vs-actual sales activities across regions >>Anomaly Detection:Deploy ML models (Isolation Forest,Z-scores) & rule thresholds to flag productivity drops,missing EOD reports,& overdue follow-ups >>Reporting & Alerts:Deliver configurable BI dashboards(Looker/Power BI) integrated with automated Slack/email notifications for critical workflow deviations >>Deliverables:Fully adjustable threshold configurations,technical documentation & a seamless handover for non-technical users Relevant experience: >>Extensive experience building website analytics,sales dashboards,churn analysis,anomaly detection,customer segmentation,& operational KPI monitoring. >>Worked with business datasets from retail/telecom/marketing teams to track trends,identify churn-risk customers,segment performance,& generate actionable reports >>Experienced with Python,pandas,scikit-learn,Google Sheets APIs,dashboarding,alert automation,& clean reproducible pipelines >>Final deliverables will include the automated pipeline,anomaly models,dashboard views,alerts,parameter config,documentation,& a practical hand-off

@axmadjondev

Hi, This fits very well with my experience because I’ve built AI-assisted dashboards, realtime analytics systems, operational intelligence workflows, automation pipelines, and anomaly-detection/reporting platforms. I really like the direction here because your operational data pipeline is already structured correctly: Google Forms → Google Sheets which means we can focus directly on building the intelligence layer instead of cleaning messy data infrastructure first. I can help build: automated Sheets data pipelines AI anomaly detection workflows productivity trend analysis planned vs actual execution tracking realtime dashboards Slack/email alert systems drill-down reporting cloud-friendly analytics architecture I’d likely recommend: Python + Scikit-learn pipeline Google Sheets API integration Looker Studio or Power BI dashboards lightweight alert automation modular analytics workflows I also focus heavily on: realtime operational visibility lightweight scalable architecture maintainable AI workflows actionable dashboards non-technical usability Recently I also built realtime operational workflow systems with dashboards, automation pipelines, and analytics-heavy architectures, so this fits naturally with my workflow

@bpatidar2793

Are your Google Sheets already standardized across teams/regions, or do forms still have inconsistent fields and manual entries sometimes? Asking because anomaly detection quality depends heavily on clean operational patterns and normalized data structures. Your setup is actually strong already: Google Forms → Google Sheets → AI Analytics Layer The biggest challenge here is usually not dashboards themselves, but building reliable anomaly + productivity intelligence without generating noisy or false alerts. I can help with: 1. Google Sheets data pipeline 2. anomaly detection models 3. productivity trend analytics 4. planned vs actual execution tracking 5. overdue follow-up monitoring 6. AI-powered operational insights 7. Looker Studio / Power BI dashboards 8. Slack/email alert automation 9. drill-down performance reporting 10. maintainable lightweight architecture Usually the most valuable part is converting raw operational activity into actionable signals instead of just charts. Bhupesh

@salajka

Hi! I build automated data pipelines and operations dashboards every single day. I have engineered high-performance, AI-driven command centers for global companies, including Natera (USA), Orem Capital (Canada), Serramenti Co (Italy), and Hornbill Exim (India). My Technical Strategy: Data Pipeline: Apps Script/Python pipeline to stream Form data into Looker Studio with sub-5-second loads. AI Anomaly Models: Scikit-learn or regression models to spot performance drops and flag delayed follow-ups. Three-View Dashboard: Premium high-contrast views for Sales, Marketing, and Business Performance with smart filters. Instant Alerts: Automated Slack/Email triggers flagging anomalies within 15 minutes of form entry. Why Choose Me? Owner's Perspective: I run Smartech Elevators, Hornbill Exim, and Snackerz Shack. I monitor operations daily, so I design for real-world decision-making. Image Search Example: Like my multi-API image search tool, I focus on zero-lag data "handshakes" to ensure raw Sheets sync seamlessly with ML models. Expertise: 11+ years in Google Workspace, Apps Script, Python, and data automation. Ready to deploy within your timeline. Let's connect! Best, Salaj Augustine FlowZuite Founder

@yasinu8

As a Top Rated and exeperinced Full-Stack Web Developer for over seven years, I have invested my career in developing stunning, interactive, and most critically, user-friendly digital platforms. I'm genuinely excited by the prospect of turning your already well-organized data streams into a hyper-intelligent command center with enhanced AI operations analytics. Combining advanced analytical capabilities with elegant design is precisely my business. In building your dashboard, we can work together to identify trends in sales and marketing that can truly inform your day-to-day decision-making process. Leveraging technologies like Scikit-learn, TensorFlow, or similar will enable me not only to achieve the clear trend-tracking you requested but also set-up automatic anomaly detection, preventing unexpected dips or missed data from slipping through. In terms of deliverables, I'll make sure your data pipeline is seamlessly connected and secure to your existing Google Sheet. The machine learning algorithms I implement will be customized and fine-tuned around your specific needs so you and your non-technical team can easily adjust them as necessary. Your time is valuable which is why all dashboards will load in under five seconds utilizing last-24 hour data; any anomalies will be alerted to you within 15 minutes of new form submissions.

@ihsan191

Hello there, I am excited to submit my proposal for your project requiring a lightweight, AI-powered layer to enhance your existing Google Forms and Sheets data flow into a dynamic command center. With my expertise in data analytics and AI, I am well-equipped to meet your core analytics needs, including anomaly detection, productivity trend tracking, and work execution analysis. My approach involves developing a small Python pipeline to extract data from Google Sheets, leverage ML models like Scikit-learn or TensorFlow for analytics, and visualize the results in tools like Looker Studio or Power BI. I will ensure seamless integration, real-time insights, and user-friendly dashboards with drill-down capabilities and alert flags for anomalies and overdue follow-ups. With over [X years] of experience in data analytics and AI development, I have successfully delivered similar projects for clients across various industries. I am confident in my ability to transform your raw reports into a powerful, interactive dashboard that will empower you to make informed decisions daily. I am eager to discuss your project further and provide a tailored solution that meets your specific needs. Let's collaborate to create a cutting-edge command center that drives your sales and marketing success. Ihsan Faridi

@letswork92

I understand that you need a sophisticated AI-powered dashboard to optimize your operational analytics. The challenge lies in transforming clean data from Google Sheets into actionable insights that can drive daily sales and marketing decisions. With over 12 years of experience, I specialize in creating solutions using Python and machine learning frameworks like Scikit-learn and TensorFlow. I can develop a lightweight data pipeline that seamlessly pulls your existing data, runs the necessary ML models, and integrates with visualization tools such as Looker Studio or Power BI. Your requirement for real-time anomaly detection and productivity tracking is crucial, and I will ensure that alerts are triggered promptly while keeping your dashboards responsive under five seconds. Could you please elaborate on the specific metrics you'd like to focus on for productivity-trend tracking? This will help tailor the solution to your unique needs.

@dushyant317

We can transform your existing Google Forms and Sheets workflow into a real-time AI-powered business intelligence command center with anomaly detection, productivity analytics, planned-vs-actual tracking, and automated operational insights across sales and marketing performance

@ravikumarsingh1

I can help transform your existing Google Forms + Sheets workflow into a lightweight AI-powered operational intelligence system with automated analytics, anomaly detection, dashboards, and real-time alerts. I can build: • Automated Google Sheets data pipeline • AI-based anomaly detection for spikes, drops, and missing activity • Productivity and trend analysis by team or region • Planned vs actual execution tracking with overdue follow-up detection • Daily, weekly, and monthly reporting roll-ups • Interactive dashboards for Sales, Marketing, and Overall Business Performance • Email/Slack alerts for anomalies and delays Recommended stack: • Python + Scikit-learn/Pandas • Google Sheets API • Looker Studio or Power BI • Lightweight cloud deployment for scheduled processing My focus is on: • Fast-loading dashboards • Maintainable architecture for non-technical teams • Adjustable model parameters and alert thresholds • Clean drill-down reporting and operational visibility Deliverables: • Automated data pipeline • AI analytics models • Interactive dashboards with alerts • Documentation and handover session I also have experience building operational dashboards, AI workflows, API automations, and Google Workspace integrations.