Data Science with less than a year in Data Analysis & Python Scripting
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Assessing your cultural and operational fit
Detail-oriented Computer Science graduate with practical experience in data analysis, database management, and Python scripting. Adept at cleaning and organizing large datasets, writing complex SQL queries, and using tools like Microsoft Excel and Power BI to generate actionable business insights. Experienced in real-world data environments through internships at Tritanium Global and Alif Analytics.
Arid Agriculture University, Rawalpindi
Bachelor of Science · Computer Science
August 1, 2021 – June 30, 2025
Govt. Higher Secondary School Ugoki, Sialkot
FSC · Pre-Engineering
June 1, 2019 – May 31, 2021
Alif Analytics
Python Backend Intern
April 1, 2026 – Present
India
Tritanium Global
Data Operations Intern
December 1, 2025 – February 1, 2026
India
Alright Tech Pvt. Ltd.
Frontend Developer Intern
July 1, 2024 – October 1, 2024
India
US Agricultural Production datasets - SQL
June 1, 2026 – Present
Analyzed US agricultural production datasets using SQL to extract meaningful insights. Wrote complex SQL queries involving joins, aggregations, subqueries, and functions to compare production trends across US states. Performed data exploration to identify top-producing states and year-over-year production patterns. Used GROUP BY, ORDER BY, and filtering techniques to generate summary reports from multiple related tables.
Play Store Data Extraction API (FastAPI + Python)
June 1, 2026 – Present
Built REST API using FastAPI for Play Store data extraction Automated app data scraping (installs, developer info, emails) using google-play-scraper Implemented API deployment with uvicorn Processed and exported structured data using pandas Designed search endpoint with dynamic keyword-based queries
SQL for Data Science
UC Davis
June 1, 2026 – Present
Python for Data Science, AI and Development
IBM
June 1, 2026 – Present
Microsoft Power BI Data Analyst
Microsoft
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity, including a frontend development internship, indicates a broad interest in technology, though the primary focus has shifted towards data. The current internship and personal projects are well-aligned with a Data Science target role, showing initiative and a clear career direction. The certifications further reinforce this alignment. The breadth of skills across different tools and languages suggests adaptability and a willingness to learn, which are positive indicators for cultural fit in dynamic tech environments.
Soft Skills & Operational Fit
The candidate highlights analytical thinking, problem-solving, flexibility, adaptability, communication, presentation, collaboration, teamwork, troubleshooting, and debugging. These soft skills are crucial for a Data Science role, indicating a good operational fit for data-intensive and collaborative environments. The project descriptions are clear and concise, suggesting good communication skills.