KAGGLE TRAINED MODELS

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Loan Approval Prediction

Scikit-learn (Classification) · Loan Approval Dataset

Built an end-to-end binary classification model to predict loan application approval status. Optimized hyperparameters using Grid Search CV across Random Forest, XGBoost, and LightGBM models.

96.4% Accuracy (XGBoost/LightGBM)View Model

Employee Salary EDA Report

Seaborn, Matplotlib & Pandas · Employee Salary Profiles

Conducted an in-depth Exploratory Data Analysis to identify trends in employee salaries, including demographic correlations, tenure variations, and department-wise distribution metrics.

Statistical Insights & VisualsView Model

Customer Segmentation Clustering

K-Means, PCA & Scikit-learn · Mall Customer Dataset

Implemented an unsupervised clustering pipeline using K-Means and Principal Component Analysis (PCA) to segment customers based on purchasing behavior and demographic criteria.

Silhouette Score OptimizationView Model

House Price Prediction

Scikit-learn (Regression) · House Prices Advanced Regression

Developed a regression model to predict housing prices using feature engineering, missing value imputation, skewness correction, and regularized linear regression models.

RMSE = 0.12 (Ridge / Lasso / XGBoost)View Model

Spam Email Detection

NLTK & Naive Bayes / SVM · SMS/Email Spam Dataset

Built an NLP classification pipeline using tokenization, lemmatization, and TF-IDF feature extraction, coupled with multinomial Naive Bayes and Support Vector Machines to classify spam emails.

98.8% F1-Score (TF-IDF Vectorizer)View Model

HACKATHON JOURNEY

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IEEE HackSynapse 2026

Organizer: IEEE IAS × RAS

Served as Technical Head on the core organizing team for IEEE HackSynapse 2026, leading platform deployment, technical operations, and digital infrastructure for the hackathon.

Organizing Team (Technical Head)View Event

VibeState’25 by Singularity

Organizer: Singularity

Pitched and engineered a prototype solution at VibeState'25, a national-level hackathon organized by Singularity, securing a position in the Top 10 finalist teams.

Finalists (Top 10 Teams)View Event