About
Data Analyst / Data Scientist with hands-on experience in Python, SQL, and R for exploratory data analysis, statistical modeling, and predictive analytics. Skilled in building interactive dashboards and web applications (Streamlit, Tableau, Power BI) that turn raw data into stakeholder-ready insights, applying hypothesis testing, regression, and correlation analysis to support data-driven decisions. Experienced with Git/GitHub version control across logistics, retail, finance, and research analytics projects.
Skills & Expertise (29)
Work Experience
Data Science Intern
Unified Mentor Private Limited
May 2026 - Present
Collected and cleaned factory-to-customer shipment data across multiple US regions using Python to identify route-level efficiency and delay patterns. Performed EDA on shipping performance by region, state, and ship mode, uncovering geographic bottlenecks affecting delivery consistency. Developed a Streamlit web application with route efficiency, geographic (US heatmap) shipping, ship-mode comparison, and state/order-level drill-down dashboard modules to communicate delay insights to stakeholders. Implemented interactive filters (date range, region/state, ship mode, lead-time threshold) in the app, supporting a shift toward self-serve, data-driven logistics decisions. Used GitHub for version control and documentation of the analysis workflow.
Education
Post Graduate Diploma in Data Analysis - Gujarat University
2024 - 2025 · Afghanistan
B.Sc. IT (Data Mgmt. & Visual Insight) - Gujarat University
2021 - 2024 · Afghanistan
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Skills (29)
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