About
Data Scientist shaped by hands-on internship and project experience building transformer-based forecasting models, computer vision pipelines, and automated SAS reporting systems in finance and healthcare settings. This work developed a disciplined, end-to-end approach: rigorous data pipelines, measurable model validation, and translating technical results into decisions stakeholders can act on. Proficient across Python, SQL, SAS, and the modern ML/DL toolchain, with a consistent record of turning experimental models into production-ready, business-impacting solutions.
Skills & Expertise
No skills listed yet
Work Experience
Data Scientist Intern – Artificial Intelligence
Captiv Techno Solutions
Dec 2025 - Apr 2026
Designed and trained a Transformer-based deep learning model for time-series forecasting and gold trading signal generation, integrating Auction Market Theory (AMT) to support data-driven trading decisions. Applied triple-barrier labeling and meta-label filtering to refine predictive model outputs, improving directional classification precision by 35–40 percentage points over traditional rule-based technical indicators. Engineered and automated end-to-end machine learning pipelines covering data ingestion, feature engineering, model training, cross-validation, and evaluation to ensure robust, generalizable performance in production.
Data Science Intern – Project Lead
SAS Institute (SAS India)
Jun 2023 - Jul 2023
Automated SAS data reporting pipelines for multi-year Transportation Security Administration (TSA) dataset analysis, reducing pipeline processing time by 60% and enabling scalable, repeatable reporting. Developed SAS Visual Analytics dashboards to identify and communicate seasonal patterns in multi-year claims data, directly informing strategic planning and business unit decisions. Designed and executed ETL workflows to integrate, cleanse, and validate global tourism datasets, improving cross-unit data consistency by 45% and ensuring reporting integrity. Built supervised machine learning models for credit risk assessment, achieving 85% prediction accuracy; presented results via executive dashboards to senior stakeholders. Streamlined supplier profit reporting through SAS pipeline automation and standardized documentation, reducing weekly manual processing time from 8 hours to under 30 minutes (93% improvement). Performed statistical analysis, data wrangling, and exploratory data analysis (EDA) on large structured datasets using SAS Enterprise Miner and SAS Viya.
Education
Master of Science (M.Sc.) in Data Science - Vellore Institute of Technology (VIT)
2024 - 2026 · Afghanistan
Bachelor of Science (B.Sc.) in Data Analytics - Guru Nanak College
2021 - 2024 · Afghanistan
Higher Secondary Certificate (HSC) - Velammal Matriculation Higher Secondary School
- 2021 · Afghanistan
Secondary School Leaving Certificate (SSLC) - Vivekananda Matriculation Higher Secondary School
- 2019 · Afghanistan
Certifications
IBM Data Science Professional Certificate
Coursera / IBM Skills Network · 2026
