About
Detail-oriented Data Analyst with internship experience in collecting, cleaning, organising, and validating data from multiple sources. Proficient in MS Excel (VLookup, XLookup, Pivot Tables), SQL, Power BI, and Python — skilled at preparing reports, dashboards, and performance metrics that identify trends and support data-driven decisions. Proven ability to work with cross-functional teams and translate business requirements into actionable insights.
Skills & Expertise (37)
Work Experience
Data Analytics & Data Science Intern
Zidio Development
Jul 2025 - Oct 2025
Project 1: Built ARIMA & SARIMA time-series models on 2,516 rows of Apple stock data; evaluated with RMSE and MAE; quantified forecast bias to communicate overestimation risk to stakeholders. Delivered a Power BI dashboard with DAX — prediction charts, risk cards, trend direction & seasonality table — enabling data-driven decisions. Performed EDA in Python to identify seasonal trends and volatility patterns, informing model design and KPI definitions. Project 2: Built an XGBoost model achieving 80.2% accuracy (AUC 0.84); segmented 2,461 customers via cohort analysis into Critical, Medium & Low retention-risk groups. Extracted, cleaned & validated 2,461 customer records using Python (Pandas), analysing churn behaviour, subscription tenure, engagement scores & fragmentation patterns. Delivered a Power BI dashboard enabling the retention team to instantly identify at-risk customers and act on data-driven insights.
Education
B.Tech — Artificial Intelligence & Machine Learning - JNTUH
2022 - 2026 · Afghanistan
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Citizen
Relocation
Open to Relocation
Skills (37)
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