About
Data Scientist with 2 years of experience in analytics, machine learning, and computer vision solutions for retail applications. Strong background in SQL, Python, Power BI, and statistical analysis, with proven ability to translate business and client requirements into actionable insights. Experienced in dashboarding, data validation, and product-level analytics, with clear communication across cross-functional teams.
Skills & Expertise (29)
Work Experience
Associate Data Scientist
Constems-ai
Oct 2024 - Present
Developed CV-based localization and classification models for SKU-level product detection and shelf positioning, improving localization accuracy by 10% and classification accuracy by 18%. Built Predictive Intelligence (PI) models to infer expected products per shelf position for planogram compliance and OOS detection. Designed CV-based shelf analytics using bounding box and spatial features to detect misplacements, overlap, stacking, and missing products. Implemented Power BI & Metabase dashboards to improve stakeholder visibility and decision-making. Planned and implemented automated data validation and Guard Rail logic, improving model decision accuracy by 20% and reducing manual checks and errors by 40%+. Performed live model evaluations to identify misclassification trends and guide retraining. Delivered retail analytics solutions translating client requirements into product placement and category optimization strategies. Collaborated with engineering and QA to deploy, validate, and monitor PI outputs for dashboards and reporting. Built feature pipelines from bounding box metadata (centroids, distances, adjacency) for product intelligence models.
Data Analysis Intern
Pvalue Analytics
Jun 2023 - Jul 2023
Developed ML models and ETL pipelines improving campaign prediction accuracy by 12-18%, and created Power BI dashboards for campaign optimization. Conducted statistical inference on large marketing campaign datasets (10K+ records) to evaluate campaign effectiveness. Designed ETL pipelines with SQL and created Power BI dashboards.
Data Science Intern
Constems-ai
Apr 2024 - Oct 2024
Developed ML models improving category-level insight accuracy by 15-20%. Automated data preprocessing pipelines using Python & MySQL. Applied A/B testing for business-driven solutions. Deployed solutions in Docker, AWS, and Azure for scalability.
Education
B.Tech – Data Science - Jagannath University
2020 - 2024 · Afghanistan
