About
Entry-level Data Scientist with basic hands-on exposure to Python, data analysis, and machine learning concepts through academic and project work. Experienced in working with real-world datasets, performing data cleaning, exploratory analysis, and simple forecasting models. Currently transitioning from an engineering background into data-focused roles with a strong interest in learning and applying data science techniques in practical scenarios.
Skills & Expertise (10)
Work Experience
Trainee Engineer
Aarvee Engineering Consultants Limited (Aarvee Associates Ltd.)
Jan 2024 - Oct 2025
Worked with large structured datasets collected from traffic counts, surveys, and operational records for multiple railway corridors. Conducted exploratory data analysis (EDA) to identify travel patterns, demand trends, and corridor-level characteristics. Performed passenger and freight demand forecasting using historical data, basic statistical techniques, and regression-based approaches. Created data visualizations and spatial maps using QGIS to support analytical findings and reporting. Translated analytical results into clear insights and reports for planning and decision-making. Prepared structured summaries (MoMs) and documentation to communicate data-driven findings to stakeholders.
Traffic Flow Prediction
Academic Project
Jan 2022 - Jan 2023
Performed data preprocessing and exploratory analysis on traffic datasets. Applied basic Machine learning and Deep Learning models for prediction and comparison. Gained practical exposure to Python-based data analysis.
Education
M.Tech in Transportation Engineering - TKM College of Engineering
2021 - 2023 · Afghanistan
B.Tech(Honours) in Civil Engineering - Saintgits College of Engineering
2016 - 2020 · Afghanistan
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Skills (10)
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