Meshva Patel
Have raw data? I decode it into your next business strategy.
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AI-Powered Smartphone Price Estimator - ML & Data Science Project
This project demonstrates a full data science pipeline, from live data collection to a deployed machine learning model. It starts by scraping real-time smartphone data from Flipkart, followed by comprehensive data cleaning and feature engineering.
The core of the project is a Random Forest Regressor model trained to predict smartphone prices based on their technical specifications.
The final product is an interactive web application built with Streamlit, where users can input a phone's features and receive an instant price prediction from the trained AI model.
🔗 View Live Demo: https://smartphone-price-prediction-system-meshvapatel.streamlit.app/
Let’s build your next data-driven solution.
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SaaS Companies 2025 Analysis
I turned raw data on the top 100 SaaS firms into actionable business insights.
Why this matters
■ Discover which companies lead ARR and valuation, and why.
■ Map the global SaaS landscape by country, category and funding stage.
■ Spot undervalued high-growth gems.
■ Translate numbers into strategy (not just charts).
A portfolio-ready, business analytics project that shows I don’t just crunch data, I derive strategic stories and visualize them.
Let’s connect if you’re curious about SaaS analytics, dashboards, or next-gen data strategy.
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Transforming cafe transactions into business insights.
From raw data to a story of sales, trends, and customer behavior.
An end-to-end data analytics project that transforms raw, messy transactional data into actionable business intelligence. This project encompasses a full Exploratory Data Analysis (EDA) using Python and an interactive Power BI Dashboard for visualization.
Explore the full project 👉 github.com/meshvaapatel/cafe-sales-exploratory-data-analysis (https://github.com/meshvaapatel/cafe-sales-exploratory-data-analysis)
Let’s turn your raw data into smart strategy.
Contact me to decode your data into your next business strategy.
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Transformed raw retail data into clear business insights using SQL. Designed and optimized analytical queries to uncover trends in sales, inventory, and pricing performance.
Deliverables :
■ Cleaned and structured retail datasets
■ Designed 15+ analytical SQL queries
■ Extracted insights on sales, demand, and pricing
■ Delivered key performance summaries
Outcome :
Empowered data-driven retail decisions by uncovering top-performing products, peak demand periods, and pricing optimization opportunities.
Ready to turn your data into a strategy?
Contact me to decode your data into your next business strategy.
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