Hi, I'm

About Me

I am an aspiring AI/ML Engineer with strong hands-on experience in Python, SQL, Exploratory Data Analysis (EDA), and Machine Learning. I focus on designing and implementing end-to-end machine learning solutions, from data preprocessing and feature engineering to model training, evaluation, and deployment-ready workflows. I have worked on practical projects involving supervised learning, predictive modeling, and model performance optimization. I enjoy applying algorithms to real-world datasets, analyzing model behavior, and translating predictions into meaningful, data-driven outcomes. I am continuously building my expertise in machine learning, data science, and applied AI, with a strong interest in scalable models, intelligent systems, and real-world problem-solving.

Education & Experience

Projects

Exploratory Data Analysis of ODI Batting Statistics

Analyzed ODI batting data to identify player performance trends and consistency.

Python, Pandas, NumPy, Web Scraping

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World Wide Energy Consumption

SQL-based analysis of global energy usage patterns.

SQL

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Telecom Customer Churn Analysis

Power BI dashboard analyzing customer churn behavior.

Power BI

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Wine Quality Prediction

Machine learning model to classify wine quality using physicochemical features and Random Forest, deployed with Streamlit.

Python, Scikit-learn, Streamlit

GitHub Live Demo

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