About
Data Analyst with research experience at IIT Kanpur in data pipeline development, EDA, and statistical modelling using Python and SQL. Delivered 6 analytical reports and managed 100k+ records; presented complex findings to non-technical stakeholders. Published in deep learning; built data systems across healthcare, environmental monitoring, and sports analytics.
Skills & Expertise (25)
Work Experience
Project Assistant Researcher — Computational Modelling & Data Analysis
Indian Institute of Technology Kanpur
Jul 2025 - Feb 2026
Managed and validated 100k+ experimental records using Pandas & NumPy — preprocessing, noise analysis, and feature preparation ensuring data integrity across all modelling workflows. Delivered 6 structured analytical reports and dashboards (Matplotlib, Seaborn), translating complex model outputs into clear, actionable insights for senior researchers and non-technical stakeholders. Designed and iterated non-linear optimisation pipelines (SciPy) for inverse modelling problems, achieving convergence stability and reducing parameter estimation error through data-driven refinement. Built and maintained data pipelines for the Railway Vision Project, processing image and 3D sensor inputs to extract structured, analysis-ready features from unstructured visual data.
Education
B.Sc. Data Science - Presidency University
2022 - 2025 · Afghanistan
Certifications
NPTEL Deep Learning — Elite
IIT Ropar · 2025
NPTEL Cloud Computing & Distributed Systems
· 2025
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Open to Relocation
Skills (25)
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