About
Results-driven Data Science and Machine Learning Engineer with hands-on experience building end-to-end ML pipelines, conducting exploratory data analysis, designing interactive Power BI dashboards. Delivered production-ready classification models achieving 89% accuracy and 0.91 AUC-ROC. Proficient in Python, SQL, and Scikit-learn, with a proven ability to transform complex datasets into scalable, data-driven business solutions for cross-functional stakeholders.
Skills & Expertise (35)
Work Experience
Data Science Intern
UV Technocrats and Solutions
Dec 2024 - May 2025
Conducted exploratory data analysis on business datasets using Python (Pandas, Matplotlib, Seaborn), identifying trends, outliers, and missing-value patterns to ensure data quality prior to model development. Developed and evaluated machine learning classification models in Scikit-learn, encompassing feature engineering, train-test splits, and performance evaluation using accuracy, precision, recall, and F1-score to deliver production-ready predictive solutions. Designed interactive Power BI dashboards featuring KPIs, slicers, and drill-through views, enabling stakeholder self-service analytics across sales and operational reporting dimensions. Engineered end-to-end data workflows covering data ingestion, cleansing, transformation, and reporting, reducing manual reporting effort by 30% and accelerating decision-making cycles for business stakeholders.
Education
Bachelor of Engineering in Information Technology (Lateral Entry) - Anuradha Engineering College, Amravati University
2022 - 2025 · Afghanistan
Diploma in Electrical Engineering - Board of Technical Education, Maharashtra
2019 - 2022 · Afghanistan
Certifications
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Skills (35)
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