About
Performance-driven Data Analyst with strong expertise in data analytics, statistical modelling, predictive analysis, and business intelligence. Proficient in Python, SQL, Tableau, and advanced Excel for transforming complex datasets into strategic insights that enhance operational efficiency and business growth. Adept at data pipeline automation, KPI tracking, SEO analytics, and visualization dashboards to support data-backed decision-making. Recognized for delivering high-impact analytical solutions, improving customer retention, marketing performance, and process optimization.
Skills & Expertise (26)
Work Experience
Data Analyst Intern
Systical Pvt. Ltd.
May 2023 - Jul 2023
Reduced NPA exposure by 25–30% by translating stakeholder risk objectives into a predictive analytics problem, analyzing customer demographics, transaction, and repayment behavior, and engineering model-ready datasets through SQL extraction, data cleaning, outlier treatment, encoding, and Lasso feature selection in Python. Improved risk-flagging accuracy to 92% and accelerated credit decisions by developing and validating a KNN-based NPA prediction model, surfacing risk KPIs via interactive Python dashboards, and enabling stakeholders to intervene on high-risk loan accounts to optimize portfolio quality and operational efficiency.
Data Analyst
SlideUpLift
Mar 2025 - May 2025
Increased customer retention by 5% by translating stakeholder retention goals into analytical KPIs, designing an automated Python–SQL ETL pipeline, and delivering real-time Tableau dashboards that enabled leadership to identify churn drivers and execute targeted retention strategies on U.S. purchase data. Drove 53% growth in impressions and 21% CTR by translating marketing objectives into SEO KPIs, analyzing GSC and Ahrefs data, and delivering metadata optimization recommendations that improved search visibility. Automated a Python–Pandas reporting pipeline, improving SEO data accuracy by 15% and reducing manual reporting effort by 40%, enabling faster, data-driven marketing decisions.
Machine Learning Intern
Pantech.AI
Dec 2023 - Jan 2024
Translated a restaurant expansion objective into a geospatial site-selection problem by analyzing a 6 km trade area around Rajiv Chowk, segmenting it into 300 m micro-markets, and engineering spatial datasets in Python. Applied K-Means clustering to model customer density and location patterns, identifying 4 high-revenue potential zones; delivered data-driven insights that improved site selection confidence.
Education
IDD in Biotechnology - IIT (BHU)
2019 - 2024 · Afghanistan
HSC - ABP Shikshan Samuh
2016 - 2018 · Afghanistan
Interested in this developer?
Profile Score Breakdown
Profile Overview
Availability Details
Visa Status
Citizen
Relocation
Open to Relocation
