About
Master's student in Mathematics at DTU with hands-on experience in machine learning, predictive analytics, and large-scale data analysis. Built production-grade data science solutions across 100K+ records — from supply chain demand forecasting to ML-based malware detection using Python, SQL, Power BI, and scikit-learn. Driven by translating messy real-world data into clear, actionable business insights.
Skills & Expertise (27)
Work Experience
Data Science Intern
Evoastra Ventures
Feb 2026 - Apr 2026
Built an end-to-end demand forecasting pipeline on 100K+ supply chain records, automating KPI tracking across 9 dashboard tabs using Python and Streamlit Cloud — eliminating manual reporting effort for operations teams. Identified delivery performance risk patterns by applying EDA, T-Test, and ANOVA across logistics segments, surfacing actionable anomalies that supported data-driven operational decisions. Integrated ML-based forecasting models with a SQL-backed data pipeline and Power BI-style metrics, enabling stakeholders to monitor demand trends and supply risk in real time.
Education
Master's in Mathematics - Delhi Technological University
2024 - 2026 · Afghanistan
Certifications
GATE 2025 — Qualified Mathematics
· 2025
IIT JAM 2024 — Qualified Mathematics
· 2024
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Open to Relocation
Skills (27)
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