About
Data Scientist with 2+ years of experience building predictive models, performing large-scale data analysis, and delivering business impact in fintech and B2B environments. Strong expertise in SQL, Python, and machine learning, with hands-on experience in churn prediction, customer segmentation, A/B testing, and data pipeline automation—proven ability to translate data into actionable insights, improving retention, revenue, and operational efficiency.
Skills & Expertise (23)
Work Experience
Data Analyst
Cyberworx Technologies
Apr 2022 - Sep 2024
Developed a statistical data validation framework to detect anomalies and inconsistencies, improving data accuracy to 99%+ for a Tier-1 financial client. Built a churn prediction model using behavioral and transactional features, segmenting users into risk cohorts and enabling targeted interventions—improving retention by 15% and preserving $2M+ ARR. Performed feature engineering and exploratory data analysis (EDA) on 150K+ records, identifying key drivers of customer behavior and transaction trends. Automated data cleaning, transformation, and validation pipelines using Python and SQL, reducing manual effort and improving reporting turnaround time by 50%. Designed and maintained Power BI dashboards with automated data pipelines, saving 30+ hours/week in manual reporting and enabling real-time KPI tracking. Collaborated with cross-functional teams (product, engineering, business) to define metrics, design experiments, and deliver data-driven insights.
Education
B.Com Hons (BE and Finance) - University of Delhi
- 2018 · Afghanistan
M.A. Economics - IGNOU
- 2022 · Afghanistan
Certifications
Data Analytics (Python, SQL, Statistics & Data Visualisation)
AlmaBetter · 2024
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Skills (23)
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