Projects using pandas in India

Projects using pandas in IndiaProjects using pandas in India

Cover image for Product Recommendation Application

Product Recommendation Application

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Cover image for Businesses today generate a lot

Businesses today generate a lot of data, but most of it goes unused. Teams often rely on manual analysis or basic tools that can’t uncover deeper patterns. This leads to missed opportunities—whether it’s predicting customer behavior, detecting anomalies, or automating repetitive tasks. Another challenge is that even when machine learning models are built, they are rarely integrated into real workflows. So instead of driving impact, they stay as isolated experiments.

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Cover image for I worked on a Sentiment

I worked on a Sentiment Analysis project where I classified customer reviews into positive, negative, and neutral categories. I performed text preprocessing, used TF-IDF for feature extraction, and applied a machine learning model to improve accuracy. This project helped me gain hands-on experience in NLP, data labeling, and model evaluation.

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Cover image for Developed an automated pipeline to

Developed an automated pipeline to handle bulk recruitment workflows. This AI-powered tool processes multiple PDF resumes simultaneously, using advanced parsing to extract candidate details with high accuracy. It intelligently structures unstructured resume data into a clean, downloadable CSV format, capturing essential metrics like skills, experience, and contact info without manual data entry.

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Cover image for Life Expectancy Analysis Project

Life Expectancy Analysis Project

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Cover image for "I Developed An Automated Python

"I Developed An Automated Python Pipeline To Process And Categorize Over 1,000 Customer Reviews. Using The Pandas Library, I Built A Logic-Based Scoring System That Translates Raw Text Into Actionable Sentiment Insights, Helping Product Teams Identify Critical Issues In Real-Time."

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Cover image for Role: Quantitative Developer
Description: Built a

Role: Quantitative Developer Description: Built a custom Python toolkit designed for automated stock return analysis and risk-reward plotting. This project streamlines the portfolio management process by visualizing technical indicators and identifying optimal entry/exit points based on historical data. Tools: Python, Matplotlib, SQL. Impact: Automated the generation of technical reports, replacing 4+ hours of manual spreadsheet work.

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Cover image for Crypto Regime Detection — LSTM + GNN + PPO, 13 Assets

Crypto Regime Detection — LSTM + GNN + PPO, 13 Assets

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Cover image for Hand Gesture Video Control | Computer Vision

Hand Gesture Video Control | Computer Vision

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Cover image for main_palmer_penguin_EDA_2024-project

main_palmer_penguin_EDA_2024-project

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Cover image for Currently open for new projects

Currently open for new projects 🚀 I help startups turn ideas into scalable web & AI products. 💻 MERN Development • React frontends • Node.js backends • MongoDB • Auth & dashboards • REST APIs 🎨 Frontend & UI • Responsive websites • Landing pages • Figma → React 🤖 AI / ML • AI-powered apps • NLP systems • Resume matcher tools • Chatbots & automation 📊 Data & Analytics • Python pipelines • ML classifiers • Dashboards 🛠 Deployment & Support • Hosting • Bug fixes • Feature upgrades Recently built: ✔ Full-stack marketplace ✔ AI resume matcher ✔ NLP classifier ✔ ML healthcare system Building SaaS, MVP, website, or AI product? Let’s connect. #mern #react #fullstackdeveloper #ai #startup #freelancer

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Cover image for Occupancy Prediction

Occupancy Prediction

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Cover image for Music Genre Classification Using Machine Learning Models

Music Genre Classification Using Machine Learning Models

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Cover image for Data Analytics Project | BlinkIT

Data Analytics Project | BlinkIT Grocery Sales Analysis Excited to share my latest Data Analytics project ,where I analyzed BlinkIT Grocery Sales Data and delivery data to uncover meaningful business insights 📈 📊 What I worked on: Analyzed sales performance across product categories, outlet types, sizes, and locations Identified top-performing item categories and customer preferences Studied the impact of outlet size, establishment year, and visibility on sales Converted raw data into actionable insights and business recommendations 💡 Key Insights: Fruits & Vegetables, Snack Foods, and Frozen Foods drive maximum sales FOR FULL PROJECT VIST GIT HUB –( https://lnkd.in/d34sdAPz )

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Cover image for 💯

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Cover image for Smart Data Analyst — AI-Powered

Smart Data Analyst — AI-Powered Data Analysis App Built a fully working AI-powered data analysis app from scratch using Streamlit and Gemini API. The problem: Most business owners have data in Excel or CSV files but no easy way to analyze it without hiring a full-time analyst or learning Python. So I built a tool where you just upload your file — and the app does the rest. → Auto-detects KPIs from any dataset → Generates charts automatically → Ask questions in plain English — get instant answers with tables and charts → Downloads full PDF report with KPIs and charts → RAG memory — remembers past questions Tech: Streamlit · Gemini API · Python · Pandas · Plotly 🔗 Live: https://smart-data-analyst-ahkz32vjd6dzvhmexkrhdm.streamlit.app/ (https://smart-data-analyst-ahkz32vjd6dzvhmexkrhdm.streamlit.app/)⭐ GitHub: https://github.com/AbuAsifAnsari/smart-data-analyst (https://github.com/AbuAsifAnsari/smart-data-analyst)

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