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Data Analyst with less than a year in Data Mining & AI/ML
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Experienced Data Analyst with a proven track record in leading end-to-end data analysis, identifying inefficiencies, and driving data-backed decisions. Proficient in SQL, Power BI, Python, and various machine learning and AI technologies. Skilled in exploratory data analysis, trend analysis, and developing automated reporting solutions to improve data reliability and operational efficiency. Committed to transforming complex data into actionable insights for strategic business growth.
Northwestern Polytechnical University
Student Exchange Program · Computing Technology for Engineering
May 1, 2023 – June 1, 2023
Ghulam Ishaq Khan Institute of Engineering Sciences and Technology (GIKI)
Bachelors of Science · Data Science
August 1, 2021 – June 30, 2025
Wizient
Data Analyst
September 1, 2025 – Present
Lahore, Punjab, Pakistan
NSDIC
Data Analyst Intern
June 1, 2024 – July 1, 2024
India
AI-Based Unmanned Syringe Control System using 4-DoF Robotic Arm and Deep Learning (FYP)
June 1, 2026 – Present
Developed an AI-powered autonomous syringe control system integrated with a 4 DOF robotic arm for precise and unmanned medical injections. Led the data science and AI implementation, utilizing computer vision and U-net for real-time vein detection. Achieved 92% accuracy in vein detection, enhancing precision in automated injections. Worked closely with a multidisciplinary team to integrate AI with robotic automation, ensuring seamless operation in dynamic medical environments.
Uber Rides Analysis
June 1, 2026 – Present
Developed a PowerBI dashboard to gather insights from Uber's operational landscape, encompassing 1,154 rides across the USA, Sri Lanka, and Pakistan. Employed advanced Python analytics and an ETL pipeline to examine historical trends, consumer behavior, and evolving ride dynamics, leveraging schema design, dynamic filtering, Funnel Analysis, and drill-through features to visualize daily, weekly, and monthly ride trends.
Netflix Data Analytics
June 1, 2026 – Present
Conducted exploratory data analysis (EDA) and gathered interesting consumer insights from the viewing trends of the Netflix user base and generated recommendations by validating/negating multiple hypotheses using A/B tests.
Image and Voice Analyzer
June 1, 2026 – Present
Developed an AI tool using LLMs for visual and audio analysis. Integrated Transformers and OpenAI's Whisper within a Gradio interface for real-time, interactive data processing.
Gen AI powered Sketch-to-Realistic image synthesis
June 1, 2026 – Present
Executed a generative image modeling project using the MIT-IBM Watson AI Lab's Image Generation framework and the Mask Sketch model. This project demonstrated precision in generating class-specific images from abstract sketches, showcasing advanced capabilities in adapting and refining visual outputs.
Dean's Honor Roll: Awarded with Dean's Honor Roll in Bachelors.
Unknown
June 1, 2026 – Present
Certificate for being among the Top 05 students of Bachelors class.
Unknown
June 1, 2026 – Present
National Level Scholarship (PEEF) winner: Won merit-based scholarship during bachelors for excellent academic performance.
PEEF
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate a diverse interest in data science applications, from traditional business analytics (Uber, Netflix) to advanced AI/ML (Syringe Control, Image/Voice Analyzer, Sketch-to-Realistic). This breadth of interest, combined with an internship and a full-time role as a Data Analyst, suggests adaptability and a willingness to explore different domains. The academic achievements (Dean's Honor Roll, Scholarship) indicate a strong drive and commitment to excellence, which aligns well with a performance-driven culture.
Soft Skills & Operational Fit
The candidate's experience in presenting findings to non-technical stakeholders and leading end-to-end analysis suggests strong communication and project ownership skills. Their work on automating tasks indicates a proactive approach to improving operational efficiency. The academic projects involving AI and deep learning also highlight an aptitude for complex problem-solving and innovation.