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Kapilmali07/README.md

Hi, I'm Kapil Mali! 👋

🎯 Senior Data Analyst | · Python · SQL · Power BI · Advanced Excel · Machine Learning · Deep Learning · Natural Language Processing | 4.9 Years @ Kantar, Pune

🚀 About Me

I'm a senior data analyst with 4.9 years of experience at Kantar, specializing in analytics automation, large-scale survey data processing, and business intelligence. I delivered a 66% reduction in time through Python automation and managed 1M+ annual records for global consumer insight projects.

Currently building end-to-end analytics portfolio projects in Python, MySQL, Power BI, Machine learning, Deep Learning and Natural Language Processing, targeting a transition into a full-stack Data Scientist/ AI/ ML roles.

🛠 Skills

  • Languages & Analysis: Python, Pandas, NumPy, Matplotlib, Seaborn, SQL, MySQL
  • Machine Learning: Scikit-learn, Regression, Classification, Clustering, Feature Engineering, Model Evaluation, Hyperparameter Tuning
  • Deep Learning Tensorflow, Keras, Pytorch, ANN, RNN, CNN
  • BI & Visualization: Power BI, DAX, KPI Dashboards, Slicers, Data Modeling, ELT/ ETL, Advanced Excel, Tableau
  • Statistical Analysis: Hypothesis Testing, T-Test, Z-Test, ANOVA, Chi-Square Test, Correlation, A/B Testing, Significance Testing, Weighting
  • Methods: EDA, Feature Engineering, Customer Segmentation
  • Tools: GitHub, Jupyter Notebook, Google Colab, VS Code, IBM SPSS Dimensions

📂 Featured Projects

Project Tools Highlights
UPI_FRAUD_RISK_ANALYZER Python · MySQL · Power BI 50,000 records · SQL queries · Interactive dashboard
Customer Shopping Behavior Analysis Python · MySQL · Power BI 3,900 records · SQL queries · Interactive dashboard

📫 Connect With Me

LinkedIn GitHub

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  1. upi-fraud-risk-analyzer upi-fraud-risk-analyzer Public

    Behavioral fraud detection system for UPI transactions using Python, MySQL, and Power BI with custom Fraud Velocity Index (FVI) risk scoring.

    Jupyter Notebook 2

  2. Customer-Shopping-Behavior-Analysis Customer-Shopping-Behavior-Analysis Public

    End-to-end retail customer behavior analysis using Python, MySQL, and Power BI — EDA, SQL queries, interactive dashboard

    Jupyter Notebook 2

  3. Customer-Churn-Analysis Customer-Churn-Analysis Public

    Telecom customer churn EDA on 7,043 records using Python, Pandas, Matplotlib, and Seaborn

    Jupyter Notebook 2

  4. sql-case-study sql-case-study Public

    SQL Case Study — Relational DB Design & Business Query Solving

    2

  5. automotive-sales-dashboard automotive-sales-dashboard Public

    2