🎓 Self-taught Python Developer from Hyderabad  |  🤖 Aspiring AI Engineer
Passionate about Machine Learning, Automation & Full-Stack Web Development

Full-stack SaaS ML platform · Python · FastAPI · React · Tailwind CSS · scikit-learn

Upload any CSV and the platform automatically analyses your data, detects whether it's a classification or regression problem, trains multiple models side-by-side, returns a ranked leaderboard, and exports a ready-to-run Jupyter Notebook — all in your browser.

• Drag-and-drop CSV upload with client + server-side validation
• Auto EDA: missing values, correlation matrix, dataset quality score
• Trains Logistic Regression, Decision Tree & Random Forest (classification) / Linear Regression, Decision Tree & Random Forest (regression)
• Feature importance, plain-language auto-insights
• Pro plan: 5-fold CV, RandomizedSearchCV hyperparameter tuning, extended metrics
• Full auth system: email/password + GitHub & Google OAuth
• Security: CORS, GZip, rate limiting, CSP headers, input length limits

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Machine Learning · Python · scikit-learn · Streamlit · Pandas

Predicts the likelihood of heart disease using 15 medical attributes with Logistic Regression trained on real-world patient data. Outputs Low Risk (0) or High Risk (1).

• Feature engineering with one-hot encoding & StandardScaler
• Serialised model artifacts (.pkl) for production inference
• Full end-to-end prediction pipeline: raw input → preprocessing → prediction

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Machine Learning · Python · scikit-learn · pandas · Seaborn · Google Colab

Classifies whether a seismic event will trigger a tsunami using global earthquake records.

• Full ML pipeline: EDA → cleaning → feature importance → modelling → evaluation → tuning
• Baseline Random Forest achieved 93.6% accuracy on the test set
• Hyperparameter tuning with GridSearchCV & RandomizedSearchCV

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Machine Learning · Python · scikit-learn · pandas · Streamlit

End-to-end ML regression workflow for predicting house prices (in lakhs).

• Extensive text-to-numeric preprocessing (carpet area, floor, price columns)
• Unit normalisation (sqft / sqm / sqyard → unified SQFT)
• Trained & compared Random Forest, Gradient Boosting, and Decision Tree regressors
• Deployed with Streamlit

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Machine Learning · Python · scikit-learn · Logistic Regression

Binary classifier that predicts whether a student will PASS or FAIL based on demographic and academic background features.

• One-hot encoding of 5 categorical features (12 encoded columns)
• Logistic Regression with class_weight='balanced' to handle class imbalance
• Model persistence with joblib (.pkl artifacts)

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OOP · Python · Streamlit · JSON · pathlib

A complete student records management system with both CLI and web versions.

• Auto-generates unique student IDs (letters + digits + special chars)
• Full CRUD: add, update, view, delete, search, filter by age & course
• Import / export records as JSON
• Atomic file writes to prevent data corruption

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OOP · Python · Streamlit · JSON · pathlib

A complete banking system with both CLI and Streamlit web versions.

• Create accounts, deposit/withdraw money, update details, delete accounts
• Auto-generated unique account numbers (letters + digits + special chars)
• Secure PIN login, balance validation, deposit limits
• JSON file-based persistent storage

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Python · Streamlit · requests

A web app that converts currencies in real time using live exchange rates via the requests library.

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Python · pathlib · os

A menu-driven CLI tool for creating, reading, and deleting files with recursive directory listing.

• Context-manager-based file I/O (with open(...))
• Safe checks using Path.exists() and Path.is_file()
• First ever Python project — demonstrates mastery of core file I/O concepts

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• 🚀 Continue expanding AutoML with XGBoost/LightGBM, SHAP explainability, and Stripe billing
• 📊 Deepen expertise in Machine Learning, Data Analysis, and Model Deployment
• 🌐 Build more full-stack AI-powered web applications