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abhaykumar17/README.md

📊 Abhay Kumar

Aspiring Data Analyst skilled in Power BI, SQL, and Python, with a strong foundation in Machine Learning. Dedicated to turning data into actionable insights that drive efficiency, informed decisions, and measurable results.

WhatsApp Image 2025-08-14 at 16 07 11_3e2fec15

📍 About Me

  • 🎓 Master’s in Computer Application ( Machine Learning) — University of Petroleum and Energy Studies
  • 💼 IBM Internship (Jan–Jun 2024) — Malware Detection, Spam & Phishing Prevention using ML
  • 🛠 Technical Skills: Python, SQL, Power BI, Data Analysis, Machine Learning, Git/GitHub
  • 🌟 Interested in data-driven decision making, predictive modeling, visualization, and security analysis

🚀 Skills

  • Programming: Python (advanced), SQL
  • Data Visualization: Power BI, Matplotlib, Seaborn, Plotly, Dash
  • Machine Learning: Supervised Learning, Predictive Modeling, Text Classification
  • Tools: Git/GitHub, , , , Linux,
  • OS Internals: Scheduler, Memory Management, Interrupt Handling, Virtualization

Languages and Tools:

angular aws cypress docker git html5 illustrator linux matlab mongodb mssql mysql opencv oracle pandas photoshop php python pytorch scikit_learn seaborn tensorflow

📂 Projects

Customer-Churn-Prediction

• Performed data cleaning and EDA to preprocess telecom data. • Balanced imbalanced telecom data using advanced sampling techniques. • Developed predictive models achieving improved churn prediction accuracy. Tech Stack: Python, Pandas, Scikit-learn, SMOTE, Random Forest, XGBoost

Price-Trend-Analysis

• Aggregated and analyzed retail sales and pricing data. • Developed visualizations to identify trends, seasonality, and actionable insights. Tech Stack: Python, Pandas, MySQL, Matplotlib, Seaborn

Rainfall-Prediction

• Developed a rainfall model to forecast rainfall with improved accuracy. • Executed EDA, feature engineering, and rigorous model evaluation for robust predictions. Tech Stack: Python, Pandas, Scikit-learn, Logistic Regression, Random Forest, XGBoost

📜 Certifications

  • Git & GitHub — Proficient in version control, branching, merging, and CI workflows
  • Python Programming — Pantech E Learning
  • Data Science, Machine Learning, SQL for Data Analysis, Cyber Forensics, Computer Networking — Learn Vern

📬 Contact

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  1. Rainfall-Prediction-Using-Machine-Learning Rainfall-Prediction-Using-Machine-Learning Public

    This project analyzes weather data to predict rainfall using classification models (Logistic Regression, Random Forest, XGBoost). Includes data preprocessing, EDA, feature engineering, model evalua…

    Jupyter Notebook

  2. Customer-Churn-Prediction- Customer-Churn-Prediction- Public

    This project applies machine learning to predict customer churn. It covers data preprocessing, exploratory analysis, model training (Logistic Regression, Random Forest, XGBoost), and evaluation usi…

    Jupyter Notebook

  3. Price-Trend-Analysis- Price-Trend-Analysis- Public

    This repository contains documentation for the project based on python that analyze the retail sales data and also predicts the price trends by using Pandas and MySQL. It includes visualization too…

    Jupyter Notebook