Penultimate-year B.Tech Computer Science student (2027) with hands-on experience in machine learning systems, large-scale data analytics, and business intelligence. Strong focus on model reliability, observability, risk analytics, and decision-oriented data products.
Experienced in working with 1M+ record datasets, building production-aligned ML pipelines, and delivering analytics systems that support governance, compliance, and business decision-making.
- 🏆 NASA Space Apps Challenge — Top 10 Global Finalist
- 🏅 HackWithIndia Hackathon — Top 15 Finalist
- 💼 Industry exposure across ML Engineering, Data Science, and BI
Gyan Ganga Institute of Technology & Sciences (RGPV)
B.Tech in Computer Science (2023 – 2027)
GPA: 7.8 / 10.0
Python · SQL · C++ · Advanced Excel
Power BI (DAX, Power Query) · Tableau · KPI Design · Dashboard Engineering
- Supervised & Unsupervised Learning
- Regression, Classification, K-Means
- Feature Engineering & Model Evaluation
- Error Analysis & Validation Strategies
Neural Networks · CNNs · TensorFlow · PyTorch
Scikit-learn · Pandas · NumPy · SHAP · FastAPI · Git/GitHub
- LLM fundamentals
- Prompt-based interaction
- Applied feasibility evaluation
- Developed and evaluated ML models using Python and TensorFlow.
- Built automated ETL pipelines, reducing manual preprocessing by 30%.
- Worked with real-world data quality, monitoring, and deployment constraints.
- Processed and analyzed 1M+ records using SQL and Python.
- Built KPI-driven Tableau dashboards.
- Improved stakeholder decision turnaround by 25–30%.
Domain: ML Governance · Model Reliability
- Monitored 20+ features, detecting drift 30–40% earlier.
- Implemented SHAP-based drift attribution.
- Reduced model diagnosis time by ~50%.
Domain: RegTech · Risk & Compliance
- Automated regulatory text extraction and classification.
- Standardized compliance data across 90+ jurisdictions.
- Built scalable backend for regulatory analytics.
Domain: Payments Risk · Fraud Analytics
- Reduced identity fragmentation by 30% across 100K+ records.
- Lowered false positives by 25%.
- Focused on entity resolution and risk consistency.
Domain: Business & Financial Analytics
- Segmented 50K+ customers using RFM + K-Means.
- Built dashboards tracking CLV, KPIs, churn signals.
- Improved reporting efficiency by ~30%.
🏆 NASA Space Apps — Top 10 Global Finalist
- Built AI system for exoplanet detection using NASA datasets.
- Integrated signal processing, ML inference, and visualization.
- Delivered an end-to-end analytical pipeline.
- 📊 1M+ records processed
- ⚙️ 20+ ML features monitored
- 📉 30–50% efficiency gains
- 🌍 Domains: Space · Finance · Risk · Compliance · Analytics
- 🏆 NASA Space Apps Challenge — Top 10 Global Finalist
- 🏅 HackWithIndia Hackathon — Top 15 Finalist
- 📜 Google Data Analytics Professional Certificate
- 📜 Microsoft Generative AI Fundamentals
- 📜 J.P. Morgan · Goldman Sachs · BCG Simulations
⭐ Innovation begins where imagination meets execution.