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Household Power Consumption Pipeline
End-to-end ETL pipeline ingesting, cleaning, and transforming large-scale household energy datasets — streamlined multi-source extraction with advanced SQL and Python analytics.
PythonSQLETLPandasNumPyGit
⚕️
Pharmacy Database Management System
Fully normalized relational database for pharmacy inventory and transaction management. Authored 20+ optimized T-SQL queries, reducing query response time significantly.
SQL ServerT-SQLERD DesignNormalization
🧬
Cancer Classification: ML & Deep Learning
Benchmarked 4 classification models (SVM, FNN, CNN, Transfer Learning) on real-world cancer data. Engineered preprocessing pipelines with advanced imbalance handling and evaluation.
TensorFlowScikit-learnCNNSVMTransfer Learning
🏨
Hotel Database Management System
Developed a fully normalized relational database to manage hotel reservations, guest information, room availability, and billing services with 20+ optimized T-SQL queries.
SQL ServerT-SQLERD DesignNormalization
💬
Amazon Reviews Sentiment Analysis
Developed ML models (SVM, FNN, CNN) to classify reviews as Positive, Negative, or Neutral. Applied text preprocessing, TF-IDF vectorization, and comprehensive model evaluation.
SVMNeural NetworksTF-IDFScikit-learn
🏠
Boston Housing Price Prediction
Built ML models to predict median housing prices. Applied correlation analysis, feature normalization, and trained Linear Regression and Random Forest Regressor models.
Linear RegressionRandom ForestScikit-learnSeaborn
🍄
Mushroom Classification
Implemented an ML solution to classify mushrooms as edible or poisonous using label encoding, Decision Tree, and Random Forest with feature importance visualizations.
Binary ClassificationLabel EncodingDecision TreeRandom Forest
🚢
Titanic Survival Prediction
Predictive models for Titanic passenger survival. Applied missing data cleaning, categorical encoding, and explored survival correlations with Logistic Regression and Random Forest.
Binary ClassificationCategorical EncodingLogistic RegressionRandom Forest
🌧️
Weather Data Analysis & Rain Prediction
Analyzed historical Australian weather data, performed feature engineering, and trained Logistic Regression, Random Forest, and Gradient Boosting for binary rainfall prediction.
Feature EngineeringScikit-learnPandasMatplotlibSeaborn
🤖
LLM Applications Development
Built applications leveraging Large Language Models and advanced prompt engineering to automate analytical tasks, using NVIDIA GPU-accelerated infrastructure for model inference.
Prompt EngineeringLLMsPythonAI
