Machine Learning Engineer // AI Engineer // Data Scientist
I build evaluated machine learning workflows from messy data to usable dashboards, explainable results, and recruiter-ready case studies.
I work across NLP, predictive modeling, computer vision, and analytics dashboards. My strongest projects combine clear problem framing, reproducible modeling, explainability, and UI that helps people understand the output.
Applied machine learning experimentation, preprocessing, evaluation, and analysis across real datasets with reproducible tracking and measurable improvements.
Real screenshots, dashboards, research visuals, and reports from the ML systems I have built or analyzed.
A supervised churn prediction system that turns customer records into risk scores, SHAP-backed explanations, and dashboard-ready decisions.
A capacity analytics dashboard for monitoring care-load pressure, backlog flow, anomalies, and 7-day operational forecasts.
A research-focused CNN classification project for detecting gait abnormalities from ground reaction force based gait data.
A historical analysis of crypto trader behavior across market sentiment regimes, using robust statistics and visual risk summaries.
An NLP ranking workflow that parses resumes, creates embeddings, and ranks candidates against job requirements.
A personal AI assistant concept focused on voice-style workflows, task context, and practical automation experiments.
VIT Bhopal University, 2022-2026
For recruiter outreach, project discussion, or role conversations, these are the fastest ways to reach me.