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Project Requirement (Step-by-Step Implementation) DATASET - [login to view URL] Requirements - (Fully clear implementation with explanation and workings) Step 1 — Business Question & Topic Framing The notebook should clearly define the business problem: Question: “In a given city, which business categories look most promising to start a new business, and what factors correlate with high customer ratings?” Expected outputs: Top 10 “high-opportunity” business categories in the selected city A short checklist of key success drivers derived from data A simple predictive model to classify businesses as High Rated vs Not Step 2 — Input: Import Data from Web Dataset Files Use the public Yelp Open Dataset Programmatically read: [login to view URL] optionally a sampled [login to view URL] Parse JSON line-by-line (streaming approach) to handle large files efficiently Computing concepts demonstrated: File I/O JSON parsing Functions and modular code Step 3 — Processing (Part A): Database Storage Automatically create an SQLite database Define database schema for business (and review if used) Create indexes for efficient querying Insert parsed data into tables programmatically Concepts demonstrated: Database creation Schema design Indexing Step 4 — Processing (Part B): Data Warehouse SQL Queries Run analytical SQL queries such as: Average star rating by category within a city Business count per category (competition level) Categories with high ratings but low competition Top benchmark businesses within promising categories Concepts demonstrated: GROUP BY HAVING ORDER BY Aggregations Analytics-style SQL queries Step 5 — Data Structures & Algorithms (Core Logic) Implement a category opportunity scoring algorithm: Use dictionaries / Counters to aggregate category metrics Use heapq (priority queue) to efficiently extract top-K categories Example logic: Demand proxy: average stars + average review count Competition proxy: number of businesses Combine these into a custom “Opportunity Score” Concepts demonstrated: dict, set, list heap / priority queue sorting custom algorithm design Step 6 — Output: Analytics Model & Visualization Implement a simple analytics model (low complexity): Logistic Regression to predict whether stars >= 4 Use features such as: review_count number of categories is_open status Outputs to display: Model accuracy and confusion matrix Feature importance (model coefficients) 2–3 clear plots showing opportunity ranking and insights Concepts demonstrated: Analytics model application Data visualization Step 7 — Final Deliverables for Class Jupyter Notebook that runs end-to-end using Run All No manual inputs, no API keys, no web scraping A short slide deck (5–7 slides) summarizing: Project topic and architecture OOP class design Database schema and SQL queries Data structures and algorithms used Final results and insights Technical Constraints Keep implementation simple and robust Execution time under 1 minute Focus on clarity and explainability over complexity Deliverables One well-commented Jupyter Notebook (.ipynb) SQLite database created programmatically Clean visual outputs and final summary section
ID do Projeto: 40157702
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16 freelancers estão ofertando em média ₹7.724 INR for esse trabalho

⭐ Hello there, My availability is immediate. I read your project post on Python Developer for Data Processing and Business Insight. We are experienced full-stack Python developers with skill sets in - Python, Django, Flask, FastAPI, Jupyter Notebook, Selenium, Data Visualization, ETL - React, JavaScript, jQuery, TypeScript, NextJS, React Native - NodeJS, ExpressJS - Web App Development, Data Science, Web/API Scrapping - API Development, Authentication, Authorization - SQLAlchemy, PostegresDB, MySQL, SQLite, SQLServer, Datasets - Web hosting, Docker, Azure, AWS, GPC, Digital Ocean, GoDaddy, Web Hosting - Python Libraries: NumPy, pandas, scikit-learn, tensorflow, etc. Please send a message So we can quickly discuss your project and proceed further. I am looking forward to hearing from you. Thanks
₹11.590 INR em 3 dias
4,2
4,2

I’m a data analyst with a strong academic and practical background in Python, SQL, data structures, and applied analytics, and I’m very comfortable delivering clear, fully explained, end-to-end notebooks suitable for class evaluation. I’ve reviewed your step-by-step requirements carefully and understand that this project is as much about correct implementation and explanation as it is about results. How I’ll implement the project Business framing: Clearly define the business question, select a city, and justify the “high-opportunity” criteria with data-driven reasoning. Database layer: Programmatically create an SQLite database, design schemas, add indexes, and insert data cleanly. SQL analytics: Write well-structured analytical queries (GROUP BY, HAVING, ORDER BY) to assess ratings, competition, and benchmark businesses. Core logic: Design a custom Opportunity Scoring algorithm using dictionaries, counters, and heapq to extract top-K categories efficiently. Modeling & visuals: Logistic Regression to classify High Rated vs Not Display accuracy, confusion matrix, and interpretable coefficients 2–3 clean, meaningful plots that support the business narrative I’m happy to start immediately and can confirm timeline once aligned, but this scope is very manageable. Looking forward to working on this. Best regards, Abanoub
₹7.000 INR em 7 dias
2,3
2,3

Dear Client, Good morning . I hope this proposal finds you well. This is to inform you that I have KEENLY gone through your project description, CLEARLY understood all the project requirements as instructed in your project proposal and this is to let you know that I will perfectly deliver as desired. Being in possession of all stated required skills, (Database Design, Pandas, SQL, NumPy, Data Science, Data Visualization, Data Analysis, Python, SQLite and Data Processing), as this is my field of professional specialization having completed all certifications and developed adequate experience in the respective field, I hereby humbly request you to consider my bid for professional, quality and affordable services that meet all your requirements. I always guarantee timely delivery and unlimited revisions where necessary hence you are assured of utmost satisfaction when working with me. Please send me a message so that we can discuss more and seal the project. WELCOME.
₹12.500 INR em 1 dia
0,0
0,0

I specialize in Excel work including Data Entry, Data Cleaning, Formatting, Table Creation, Calculations, and Formulas. I ensure clean structure, correct results, and fast delivery. What you can expect from me: ✔ Accurate and organized output ✔ Error-free data ✔ On-time delivery ✔ Easy-to-read formatting ✔ Quick communication I am available to start immediately. Share your task details and I will handle the rest. If required, I can also provide a short sample before the final delivery.
₹6.000 INR em 3 dias
0,0
0,0

I have all the required skills and experience, and am willing to commit about 7-8 hours/day, and would try finishing the project as soon as possible.
₹10.000 INR em 10 dias
0,0
0,0

I can implement this project step by step in a well-structured Jupyter Notebook, fully aligned with your requirements. The solution will use the Yelp Open Dataset, stream and parse large JSON files, store data in an auto-created SQLite database, and run analytical SQL queries to identify high-opportunity business categories by city. I’ll implement a custom opportunity scoring algorithm using Python data structures and a simple Logistic Regression model to classify high-rated businesses, along with clear visualizations and explanations. The notebook will run end-to-end with Run All, be well-commented, efficient, and accompanied by a 5–7 slide summary deck explaining architecture, database design, algorithms, and insights.
₹3.500 INR em 7 dias
0,0
0,0

I propose to build a scalable, production-ready data processing and analytics solution that transforms raw business data into clear, actionable insights for decision-makers. Scope and Approach Data Ingestion & Integration Collect data from databases, APIs, and cloud storage (S3/ADLS/GCS) Build reliable ETL pipelines using Python, Spark, and Airflow Ensure data quality with validation and schema checks Data Cleaning & Transformation Handle missing values, outliers, and inconsistencies Standardize and enrich data for analytics readiness Create a reusable feature and metrics layer Analytics & Business Insights KPI definition aligned with business goals Exploratory Data Analysis (EDA) and trend analysis Segmentation, cohort analysis, and funnel metrics
₹7.000 INR em 4 dias
0,0
0,0

As a professional Data Analyst and Technical Writer, I am perfectly suited for your intricate project. My experience transforming complex data into meaningful stories will be invaluable in helping you gain actionable insights from the Yelp Open Dataset. The technical aspects required - file I/O, JSON parsing, database creation, SQL queries, data structures and algorithms - these are all part of my repertoire, built through years of hands-on experience. I am well-versed in conducting large-scale analyses while maintaining optimal efficiency. One of my key strengths is my ability to structure and organize databases effectively to enable smooth querying and processing, demonstrating concepts like schema design and indexing. I have also implemented predictive models like the Logistic Regression you require, giving me thorough understanding of both their efficacy and limitations. Moreover, I can not only create clean visual outputs but also ensure that the final summary section is detailed yet concise. As a technical writer, I have always believed in clarity over complexity while delivering results. With me onboard, you can expect one well-documented Jupyter Notebook and a final slide deck that summarize every aspect of the project with utmost accuracy and emphasis on conveyance. Choose me to turn your data-heavy complexities into insightful opportunities!
₹10.000 INR em 2 dias
0,0
0,0

As an experienced data analyst and MSc holder in Business Analytics, I have the necessary skillset and knowledge to tackle all the intricate steps involved in this project. From framing intelligible business questions to implementing database storages and SQL queries, your needs are covered. Moreover, my familiarity with Python and JSON parsing makes me effective at processing large dataset files like the Yelp Open Dataset. One of my core strengths lies in transforming complex data into clear insights, which is precisely what you desire for this project. Not only can I produce a simple predictive model for your data but I can elegantly showcase these insights through efficient data visualizations as well. And since execution speed is an important constraint for you, rest assured that I'll prioritize clarity and explainability alongside robustness in order to meet your one minute execution time. Lastly, a key aspect of my work philosophy aligns perfectly with your needs - the ability to design clear dashboards that not only answer immediate questions but also empower teams to self-serve information. Overall, I am confident that my skills in data analysis, visualization, documentation and automating reports combined with my deep understanding of business analytics will provide invaluable assistance in deriving meaningful insights from your dataset. Let's transform messy data into actionable insights together!
₹10.000 INR em 6 dias
0,0
0,0

Hello, I can help you with data processing, cleaning, and analysis to generate meaningful business insights. I am comfortable with Excel (formulas, summaries, charts) and basic Python for data handling. I will provide clear results that support business decisions. Let’s discuss your data and requirements. Thank you.
₹5.000 INR em 7 dias
0,0
0,0

I will deliver a clear, end-to-end analytics solution using the Yelp Open Dataset, focused on business decision-making rather than just code. The project will include structured business problem framing, efficient JSON ingestion, SQLite database creation, analytical SQL queries, and a transparent category opportunity scoring algorithm. I will implement an interpretable logistic regression model, clean visualizations and a well-commented Jupyter Notebook that runs end-to-end under one minute. The final deliverables will emphasize clarity, explainability and real-world insight, along with a concise slide deck summarizing architecture, data structures, algorithms, and key findings.
₹7.000 INR em 7 dias
0,0
0,0

Hi, I can deliver a clear, end-to-end Jupyter Notebook that implements all steps of this Yelp Open Dataset project exactly as specified, with strong emphasis on explainability, clean structure, and core CS concepts. The notebook will: - Frame the business question clearly and translate it into measurable analytics outputs - Parse large Yelp JSON files efficiently using a streaming, line-by-line approach - Automatically build an SQLite database with proper schema and indexes - Execute analytics-style SQL queries (GROUP BY, HAVING, ORDER BY) to identify high-opportunity categories - Implement a custom opportunity scoring algorithm using dictionaries, Counters, and heapq - Train a simple, interpretable Logistic Regression model to classify High Rated vs Not - Produce clean visualizations and a concise final insight summary All code will be modular, well-commented, runnable via Run All, and designed to complete in under one minute with no external dependencies or API keys.
₹7.000 INR em 7 dias
0,0
0,0

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