Data Science with 3+ years in Financial Reporting & Data Analytics
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Results-driven Finance & Supply Chain Analyst with over 2 years of experience in category management, forecasting, inventory control, and financial reporting. Skilled in connecting financial insights with operational performance to optimize stock, reduce costs, and support profitability goals. Proficient in Power BI, SQL, Advanced Excel, and ERP systems, with a proven record of improving visibility, automating reports, and supporting management decisions through accurate data analytics.
NED University of Engineering and Technology
Bachelor of Science · Computational Finance
August 1, 2018 – June 30, 2022
Ideas by Gul Ahmed
Category Analyst
November 1, 2024 – Present
Karachi, Sindh, Pakistan
Jubilee Life Insurance
Quality Assurance Analyst
December 1, 2022 – November 1, 2024
Karachi, Sindh, Pakistan
Forecasting Risk and Return of Top Trading Industries on PSX using Stochastic Models
June 1, 2026 – Present
Applied ARIMA, LSTM, and Monte Carlo Simulations to predict stock prices and assess risk-return scenarios for investment decision-making.
Python for Data Science
Coursera
June 1, 2026 – Present
AI for Everyone
Coursera
June 1, 2026 – Present
Programming for Everybody (Getting Started with Python)
Coursera
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's background in computational finance and experience in diverse roles (Category Analyst, QA Analyst) shows adaptability. The academic project involving stochastic models aligns with the analytical nature of a Data Science role. However, the professional experience leans heavily towards finance and supply chain operations, with less direct exposure to core data science methodologies in a production environment. The certifications in Python and AI indicate an interest in the field, but the lack of practical application in professional roles suggests a potential gap in direct cultural fit for a senior Data Science position without further development.
Soft Skills & Operational Fit
The candidate demonstrates strong analytical and problem-solving skills, evidenced by their work in reducing stockouts and improving reporting accuracy. Their experience in cross-functional collaboration with supply chain, merchandising, finance, and IT teams indicates good teamwork and communication. The ability to automate reports and dashboards suggests a proactive approach to efficiency and operational improvement. However, the current roles are more aligned with financial and business analysis rather than a pure Data Science role, which might require a transition in operational focus.