Freelancers using pandas in Bengaluru
Freelancers using pandas in Bengaluru
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Pushkar Gupta
Bengaluru, India
Pushkar Gupta
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Pushkar Gupta
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Excel Data Processing for Startup Performance Tracking
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**Supermarket Sales Analysis**
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Analysiss/supply-chain-analytics-modeling-lightgbm-rnn.ipynb at…
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Sowmya Lanka
Bengaluru, India
Data Scientist | ML, NLP & GenAI Solutions
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Data Scientist | ML, NLP & GenAI Solutions
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What I built Developed a machine learning solution to predict Buy Box and sales prices using historical analytical data and Linear Regression. How it works Analyzed the data for linear relationships, autocorrelation, multicollinearity, homoscedasticity, and normally distributed errors. Applied Principal Component Analysis (PCA) for dimensionality reduction and to improve model performance. Identified key business factors influencing price prediction. Evaluated the model using R², Adjusted R², RMSE, MAE, and MSE metrics. Technologies Python · Pandas · NumPy · Scikit-learn · Linear Regression · PCA Outcome Built a price prediction model that identified important business drivers and evaluated prediction performance using multiple regression metrics.
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What I built Developed a Natural Language Processing (NLP) solution to detect DI Flag issues by analyzing and classifying text descriptions. How it works Cleaned text data by removing hashtags, HTML tags, special characters, and numeric values. Applied text preprocessing techniques including tokenization, stop-word removal, stemming, and lemmatization. Converted text into numerical features using Bag of Words (BoW) and TF-IDF. Trained and evaluated the model using accuracy and confusion matrix metrics. Performed 30 days of validation testing before production deployment. Technologies Python · NLP · Scikit-learn · TF-IDF · Bag of Words · Pandas · NumPy Outcome Built a text classification solution that helped identify DI Flag issues from descriptions and validated the model's performance before deployment.
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What I built Developed an automated clinical text summarization solution using Google Gemini AI and prompt engineering to generate concise summaries from lengthy clinical chart notes, transcripts, and unstructured medical text. How it works Processed lengthy clinical notes and transcripts. Used prompt engineering to guide Gemini in identifying important medical information. Extracted key details such as symptoms, diagnoses, medications, and treatment plans. Generated concise, readable summaries from the original clinical text. Technologies Google Gemini AI · Python · Prompt Engineering · NLP · Generative AI Outcome Reduced clinical chart review time by approximately 30%, helping healthcare professionals identify important information more quickly and efficiently.::
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AI-Powered Policy Q&A Assistant Built a Retrieval-Augmented Generation (RAG) chatbot using Azure OpenAI GPT to answer policy-related questions with accurate, context-aware responses. What I built Extracted and structured information from policy documents into a knowledge base. Used Azure Cosmos DB for scalable information storage and retrieval. Implemented RAG to retrieve relevant policy information based on user queries. Integrated Azure OpenAI GPT to generate natural-language, context-aware answers. Technologies Python · Azure OpenAI · GPT · RAG · Azure Cosmos DB · LangChain Outcome The solution enables users to quickly find relevant information from policy documents without manually searching through lengthy documents.
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Abhishek Kumar
Bengaluru, India
Data Analyst & ML Engineer | Predictive Model | Dashboard |
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Data Analyst & ML Engineer | Predictive Model | Dashboard |
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Abhishek Kumar’s Post
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Data-Driven Insights into Attorney Collaborations
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Operational Efficiency Dashboard Development
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Kavyashree Sanjakadavu
Bengaluru, India
Aspiring Data Analyst | Exploring Visualization projects
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Aspiring Data Analyst | Exploring Visualization projects
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Mental Health Data Analysis Interactive Dashboard
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The Patterns We Inherit: Self-Realization and Growth
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Personal Finance Tracker with Anomaly Detection
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Aditya Singh
Bengaluru, India
Finance & Analytics | Python Automation & Power BI
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Finance & Analytics | Python Automation & Power BI
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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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Role: Financial Analyst Description: Created a comprehensive Discounted Cash Flow (DCF) and ratio analysis model to contrast the financial health of two distinct business models (Adani vs. CBRE). This involved detailed valuation, sensitivity analysis, and strategic forecasting. Tools: Advanced Excel, Bloomberg Terminal, Financial Modeling. Impact: Delivered a structured comparison used for strategic investment recommendations.
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Role: AI Automation Developer Description: Developed an automated system to process and analyze 1,000+ financial news reports using Natural Language Processing (NLP). The system performs sentiment-based investment scoring, allowing for rapid decision-making in volatile markets. Tools: Python (NLTK, Pandas), Jupyter Notebook. Impact: Reduced manual analysis time by 90% through automation.
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Role: Data Visualization Lead Description: Led a 4-member team at Infosys Springboard to transform 10,000+ rows of raw consumer data into an interactive sentiment-tracking dashboard. By unpivoting datasets and creating custom DAX measures, I identified a 25% surge in negative feedback related to product packaging, providing actionable insights for R&D. Tools: Power BI, Power Query, DAX, Excel. Impact: Awarded "Best Project" (1 of 6) for technical depth and business relevance.
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JUNAID ALTAF
Bengaluru, India
Data Scientist
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Data Scientist
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LIOTERING DETECTION
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OCR DETECTION
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SMART LPG GAS LEAKAGE
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DEVELOPED A WEBSITE FOR A HOTEL
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Varun Walekar
Bengaluru, India
AI Data Analyst | Power BI & Python | Automated Reports
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AI Data Analyst | Power BI & Python | Automated Reports
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I built an AI-powered Data Analyst that turns raw CSV, Excel, or SQL data into executive-ready insights. ✅ Automatic EDA & outlier detection ✅ Visual charts & insights ✅ Executive PDF report ✅ Business recommendations ✅ Voice-based summaries This isn’t a dashboard — it’s an AI analyst for founders and teams who want fast decisions. 🎥 Watch the demo video 📩 Message me “AI Analyst” for access or a custom build #AI #DataAnalytics #Automation #BusinessIntelligence #Streamlit
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Built something I'm pretty proud of — Data Detective An AI-powered anomaly investigation tool that turns dry data analysis into a noir detective case. Under the hood: → Claude + 14 custom MCP tools → Isolation Forest for anomaly detection → Pearson correlation analysis → Results presented as an actual investigation report No spreadsheets. No jargon. Just: "The suspect is outlier #47. Here's the evidence." Live here → [https://claude.ai/public/artifacts/f8117dff-b531-4f31-8862-2a86a77137c2] Full MCP server → https://github.com/Varu4/prodata-ai-mcp #contralabs #AI #dataanalysis
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From Chaos to Clarity: Healthcare Dashboard in Power BI 1. Clean and interactive Power BI dashboard for tracking patient trends, hospital performance, and key healthcare metrics in one place. 2. A modern healthcare analytics dashboard built in Power BI to monitor admissions, diseases, and operational efficiency. 3. Turn raw healthcare data into meaningful insights with this intuitive and fully interactive Power BI dashboard.
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ProData AI — Automated Data Science Platform Built ProData AI, an automated data science platform developed entirely with Streamlit. It is designed to help users transform raw datasets into actionable business insights in seconds. 🚀 What it does One-Click Mode Upload any CSV or Excel file and the full pipeline runs automatically in under 30 seconds: Data cleaning & preprocessing AutoML (6 models trained simultaneously) 30-day forecasting using Prophet Business driver analysis with Explainable AI (XAI) AI-generated insights using Anthropic Claude PDF report generation Manual Mode Provides full control over each stage of the data science workflow for advanced users. 🛠 Tech Stack Streamlit — complete UI and app framework scikit-learn — AutoML pipeline Prophet — time-series forecasting Anthropic Claude API — AI insights & chat Plotly — interactive visualizations fpdf2 — PDF report generation Ideal for: business analysts startups small businesses automated reporting workflows freelance analytics projects Open to freelance collaborations and custom dashboard / AI reporting solutions.
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Gokulraj G
Bengaluru, India
Smart Data & Business Analytics For Your Success
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Smart Data & Business Analytics For Your Success
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Geographical_map_visualization
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Data_cleaning
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Air_Cargo_Analysis
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