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Hi, I'm Rupam Mondal – an aspiring Data Analyst, Data Scientist, ML Engineer & AI Engineer who loves turning noisy data into clear insights and intelligent systems. 🔍 Passionate about analytics, ML, AI & automation 📊 Enjoy working across the entire data pipeline – from cleaning to visualization to modeling 🤖 Currently exploring LLMs, deep learning & production ML 🧠 Strong interest in statistics, experimentation & model interpretability 🚀 Goal: Build and ship impactful, data-driven products that solve real-world problems

Quick Snapshot 🧮 Data • ML • AI Enthusiast 🌍 Based in India 🇮🇳 💼 Open to roles in Data / ML / AI 🧪 Love experimenting with new tools 🤝 Open to collaborations & projects

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🧠 Programming & Scripting

📊 Data Analysis, BI & Visualization

🤖 Machine Learning & AI

• Data Cleaning & Preprocessing
• Exploratory Data Analysis (EDA)
• Supervised & Unsupervised ML
• Regression, Classification, Clustering
• Model Evaluation, Tuning & Cross-Validation
• Intro-level Deep Learning & NLP

🧩 Frameworks & Libraries

🗄 Databases

🛠 Dev Tools & Platforms

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🧩 LeetCode

🧩 HackerRank

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🧩 Replace with your real repos – these are structure templates to make your portfolio recruiter-friendly.

🩺 Cardiovascular Disease Prediction (ML)

• 🧠 Built ML model to predict heart disease risk from clinical features
• 🧹 Performed EDA, feature engineering and model evaluation
• 🛠 Python • Scikit-Learn • Pandas • Matplotlib
• 🔗 Repo: add link here

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📉 Customer Churn Prediction

• 🔍 End-to-end pipeline to identify customers likely to churn
• 🧮 Used metrics like ROC-AUC, precision/recall and confusion matrix
• 🛠 Python • Sklearn • SQL • Visualization
• 🔗 Repo: add link here

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📊 Data Analytics Dashboard (Power BI / Tableau)

• 📈 Created interactive dashboards for KPIs, revenue trends and regions
• 📊 Designed user-friendly visuals for non-technical stakeholders
• 🛠 Power BI / Tableau • Excel • SQL
• 🔗 Dashboard / Repo: add link here

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🎓 Add your real certificates here. Example format:

• 🎓 Google Data Analytics Professional Certificate – Coursera (YYYY)
• 🎓 Machine Learning Specialization – Platform (YYYY)
• 🎓 Python for Data Science – Platform (YYYY)

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"Data is powerful — but only for those who know how to read it."