ML Engineer and Data Scientist from Lucknow, Uttar Pradesh — currently pursuing B.Tech CSE (AI & DS) at IIIT Manipur (CGPA: 8.31). I build production-ready ML pipelines, explainable AI systems, and deep learning models.
- 🎓 B.Tech CSE (AI & DS), IIIT Manipur — 2023-2027 | CGPA: 8.31
- 💼 Data Science Intern at DecodeLabs (June 2026 - July 2026)
- 🧠 Focused on ML Pipelines, NLP, Computer Vision, Explainable AI
- 🔬 Building with PyTorch, XGBoost, SHAP, NetworkX, Streamlit
- 🏆 NPTEL Elite + Top 2% in two certifications
- 💡 Solved 150+ LeetCode and 250+ DSA problems across platforms
Programming
ML / Deep Learning
Data Science
Web & Deployment
Databases & Tools
|
🤖 Reliability Aware AutoML AutoML pipeline that evaluates data quality across 5 dimensions and computes a unified reliability score. Implements graph-based trust propagation via NetworkX and reliability-weighted training for RF, Logistic Regression, and XGBoost. SHAP explainability + Streamlit dashboard validated on 60,000+ rows across 4 datasets.
|
🫁 Chest X-Ray Disease Detection Deep learning pipeline for chest X-ray classification using CNNs with PyTorch. Includes Grad-CAM visualizations, confusion matrix, ROC curve, and full training metrics for interpretability.
|
|
📰 Fake News Detection (NLP) NLP-based fake news classifier using TF-IDF with Logistic Regression and Linear SVM. Full text preprocessing, feature engineering, and evaluation via Precision, Recall, F1, and ROC-AUC.
|
🛒 Walmart Sales Forecasting Time-series forecasting project using historical Walmart sales data to predict weekly sales across stores and departments.
|
Data Science Intern — DecodeLabs (June 2026 - July 2026)
- Completed hands-on Data Science and ML projects involving EDA, feature engineering, supervised and unsupervised learning
- Built end-to-end ML pipelines using Python, Pandas, NumPy, and Scikit-learn — training, evaluation, and visualization
- Applied SMOTE, PCA, K-Means, and feature engineering while building production-ready GitHub repositories with reproducible workflows
- 🥇 NPTEL Business Intelligence & Analytics — Elite + Top 2% | Score: 97%
- 🥇 NPTEL Introduction to Information Retrieval — Elite + Top 2% | Score: 93%
- 💻 LeetCode — Solved 150+ problems | 250+ across multiple platforms
- 🤖 Reliability Aware AutoML — Designed a framework with graph-based trust propagation and SHAP explainability for robust model selection
Open to internships, collaborations, and interesting ML problems.