About
Final-semester M.Sc. Data Science graduate with a strong quantitative foundation (B.Sc. Statistics) and practical experience developing scalable data pipelines, ETL workflows, and analytical dashboards. Hands-on expertise using SQL, Python, PySpark, and Databricks to extract, clean, and transform multi-source structured and semi-structured datasets, including healthcare and business data. Proven ability to partner with cross-functional teams, implement data quality validation checks, and build interactive Power BI/Tableau reports to drive executive decision-making.
Skills & Expertise (27)
Work Experience
Data Science & Analytics Intern
NIELIT, Kolkata
Feb 2026 - Jul 2026
Developed and automated Python and SQL data processing pipelines to ingest, clean, and standardize large raw datasets for analytics workflows. Implemented automated data validation and quality assurance scripts, eliminating duplicate records and resolving missing-value discrepancies across source files. Built exploratory data analysis workflows and summary reports using Pandas and Statsmodels to deliver business and operational insights. Created detailed technical documentation covering data ingestion steps, business logic transformations, and query execution standards.
Education
Master of Science (M.Sc.) in Data Science - RGNIYD
- 2026 ยท Afghanistan
Bachelor of Science (B.Sc.) in Statistics - Kazi Nazrul University
- 2024 ยท Afghanistan
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Skills (27)
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