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Manjot User

@manjotuser1

Message

I build validated data science solutions for causal inference, fraud detection, and forecasting.

India

Message

What I'm looking for

I'm seeking an entry-level Data Scientist role where I can build and validate data-driven solutions for real-world problems. I'm open to national and international opportunities.

I've built three end-to-end, metrics-backed data science projects for fintech and e-commerce use cases, including causal promo targeting, label-free fraud detection, and regime-aware demand forecasting.

In my promo targeting project, I used propensity score matching, inverse propensity weighting, and a T-Learner uplift model to correct confounding bias by 35–45% and improve simulated targeting efficiency by 36.8%.

I also developed an Isolation Forest fraud detection system with SHAP explanations, achieving 94% precision, 94% recall, and ROC-AUC of 0.998. For demand forecasting, I used PELT change-point detection to recover three structural breakpoints and reduce MAE by 21.2%.

I'm a final-year B.Tech student in Artificial Intelligence & Data Science with a 9.42 CGPA, bringing hands-on Python, SQL, statistics, machine learning, and visualization skills to entry-level data science opportunities.

Experience

Work history, roles, and key accomplishments

Data Scientist

Global Institute of Technology

Final-year B.Tech student in Artificial Intelligence & Data Science with a CGPA of 9.42, demonstrating ability to design and validate causal inference, anomaly detection, and time-series forecasting solutions. Built three end-to-end, metrics-backed projects spanning fintech and e-commerce use cases.