About
Data Scientist with a Master’s degree in Data Science and professional experience in crypto-financial analytics and AI model evaluation. Currently at Ascent Group, working as a Data Scientist Trainee and Accounting Specialist, by supporting data reconciliation, validation, and analysis of financial datasets. Experienced in Python, SQL, and end-to-end data workflows, from raw data cleaning to insight generation.
Skills & Expertise (50)
Work Experience
AI Prompt Engineer and Model Behavior Data Analyst
Outlier.ai
Sep 2024 - Sep 2025
Created, tested, and refined high quality prompts to optimize AI model response for clarity, accuracy, and context aware. Conducted annotation and labeling tasks to support AI training workflows, ensuring datasets were clean, structured, and context-aware. Evaluated AI-generated responses for code validity, localization quality, reasoning accuracy, and user alignment. Managed tasks independently in a remote setup, delivering results under minimal supervision and collaborating via Slack.
Data Scientist - Trainee
The Ascent Group
Jun 2025 - Jan 2026
Leveraged Python to preprocess and transform large-scale cryptocurrency fund datasets, ensuring schema consistency across diverse endpoints and 13+ global exchanges including Binance, Coinbase Prime, and OKX. Developed scalable Python automation scripts to replace Excel-heavy workflows such as open-lots reporting, data mapping, and reconciliation, significantly reducing manual effort and improving processing accuracy. Engineered custom exchange codes and processing logic to handle complex transactional datasets, enabling reliable portfolio reconciliation, NAV calculations, and PNL analysis for Financial Analysts. Built modular and reusable Python functions and automation pipelines to streamline high-volume data workflows, improving system reliability and eliminating spreadsheet performance bottlenecks. Processed and reconciled multi-client financial datasets lacking common identifiers, applying advanced data cleaning and transformation techniques to generate accurate reporting outputs. Collaborated closely with Financial Analysts to implement urgent data structure changes for NAV reporting, optimized legacy scripts for evolving file formats, and conducted Knowledge Transfer (KT) sessions mentoring junior interns.
Data Science Intern
iNeuron.ai
Jan 2023 - Jun 2023
Leveraged Python and Tableau to analyze large public datasets and build interactive dashboards that uncovered actionable insights across aviation safety and agricultural productivity domains. Led the Bird Strikes Aviation Analysis project, performing data preprocessing and exploratory analysis on historical bird strike records (2000–2011) to identify patterns related to flight phase, time of day, and pilot warning status, delivering interactive Tableau dashboards that visualized strike frequency and geographic distribution across the United States. Processed and cleaned large-scale agricultural datasets for the Indian Crop Production Analysis project, improving dataset reliability and enabling meaningful analysis of crop yields, seasonal patterns, and production trends across multiple regions. Applied statistical analysis and data visualization techniques to generate insights on crop productivity and potential agricultural risks, supporting data-driven decision-making for stakeholders.
Education
Master of Science in Data Science - Gandhi Institute of Technology and Management University
2021 - 2023 · Afghanistan
Bachelor of Computer Applications - Gandhi Institute of Technology and Management University
2018 - 2021 · Afghanistan
Interested in this developer?
Profile Score Breakdown
Profile Overview
Availability Details
Visa Status
Citizen
Relocation
Open to Relocation
