About
Finance, Technology and Policy postgraduate (MSc, University of Edinburgh) with a B.Tech in Computer Science & Data Science. Skilled in DCF and comparable-company valuation, financial statement analysis, and Python/SQL-based data analytics, with hands-on experience building full equity valuation models (WACC, FCFF, sensitivity analysis) and machine learning models for financial datasets. Strong track record of translating complex financial and business data into clear, actionable insights, backed by rigorous analytical thinking and communication skills.
Skills & Expertise (25)
Work Experience
Data Analytics Intern
Impetus Technologies
Jun 2023 - Jul 2023
Analysed structured business datasets using Python (Pandas, NumPy) to uncover trends, identify data quality issues, and generate insights supporting business decision-making. Cleaned, validated and transformed large datasets to improve data reliability ahead of downstream analysis and reporting. Applied feature engineering and regression modelling to identify key business drivers and support predictive analytics initiatives. Presented findings via structured reports and dashboards to stakeholders, supporting data-driven decisions and digital transformation projects.
Education
MSc, Finance, Technology and Policy - University of Edinburgh
2025 - 2026 · Afghanistan
B.Tech, Computer Science Engineering (Specialization: Data Science) - The NorthCap University
2021 - 2025 · Afghanistan
Certifications
Financial Markets
Yale University · 2024
AWS Academy Machine Learning Foundations
Amazon Web Services Academy · 2023
Networking Essentials
Cisco · 2022
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Skills (25)
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