• 🎓 B.Tech in Computer Science & Certified Data Scientist from Masai
• 💡 Enthusiastic about Deep Learning, NLP, Machine Learning, and Statistics
• 🌱 Currently exploring Advanced Python, and Data-driven problem solving
• 🔭 Looking for opportunities in Data Science / Machine Learning / Data Analytics

📅 Jan 2025 – Feb 2025
🔗 Project Link

Technologies:

Description:

• Analyzed Indian airline pricing data using SQL & Python (Pandas, Seaborn, Matplotlib).
• Uncovered price trends, route frequency, and airline rankings.
• Detected outliers, correlation between duration & price (+0.29), and pricing differences across economy vs. business class.
• Developed interactive Power BI dashboards to visualize key metrics (peak order timings, dark store performance).
• Enabled data-driven business decisions and operational improvements.

📅 Mar 2025 – Apr 2025
🔗 Project Link

Technologies:

Description:

• Analyzed product-level data across multiple categories (vegetables, dairy, beverages, packaged goods).
• Uncovered pricing trends, demand patterns, and competitor benchmarks.
• Applied SQL & Python (Pandas, Matplotlib, Seaborn) for data cleaning, EDA, and visualization.
• Performed statistical analysis for volatility and outlier detection.
• Delivered insights for price optimization, targeted promotions, and competitive benchmarking.

📅 Jun 2025 – Jul 2025
🔗 Project Link

Technologies:

Description:

• Cleaned and preprocessed heart disease dataset using Pandas & NumPy.
• Handled missing values and corrected data types.
• Performed EDA with Matplotlib & Seaborn to identify demographic patterns, correlations (age, cholesterol, chest pain), and key risk factors.
• Applied statistical analysis (Chi-Square tests) to determine significant predictors of heart disease.
• Generated actionable insights for healthcare decisions.

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💡 I love building projects, exploring data, and learning new technologies!

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