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Data Analyst with 1+ years in Python, SQL, and Tableau, specializing in ML pipelines and data extrac
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Data Analyst with hands-on experience turning raw data into actionable insights through Python, SQL, and Tableau. At 2iQ Research, I apply data-driven thinking to QA processes analyzing deployment logs, designing structured test scenarios, and generating reports that support product quality and stakeholder decision-making. Portfolio spans end-to-end ML pipelines (classification, regression, clustering) and API-powered data extraction projects. BSc Electrical Engineering (FAST-NUCES) underpins strong analytical and problem-solving foundations. Google Data Analytics Professional Certificate holder. Eager to apply data skills in a commerce-focused environment and contribute to business growth through data-driven decision-making.
FAST-NUCES, Lahore
BSc · Electrical Engineering
August 1, 2019 – June 30, 2023
2iQ
Quality Assurance Analyst
May 1, 2025 – May 1, 2026
India
International School Lahore
Emerging Technologies Teacher
September 1, 2024 – May 1, 2025
India
HR Attrition Analysis
June 27, 2026 – Present
Built and compared four classifiers (Random Forest, XGBoost, AdaBoost, Logistic Regression) to predict employee attrition; Random Forest achieved 98.49% accuracy with GridSearchCV tuning, with satisfaction level, overwork, and salary band emerging as top predictors.
View ProjectTrain Ticket Price Prediction
June 27, 2026 – Present
Developed and tuned regression models to predict ticket prices from route, timing, and class features; EDA and correlation analysis surfaced key pricing patterns across route segments.
View ProjectYouTube Data Scraper
June 27, 2026 – Present
Engineered an automated pipeline using the YouTube Data API v3 to extract full video metadata; automated channel-wide video ID discovery via the PlaylistItems endpoint and exported structured data to CSV for downstream analysis.
View ProjectCustomer Segmentation
June 27, 2026 – Present
Applied PCA and K-Means/Hierarchical Clustering with silhouette scoring to wholesale spending data, uncovering two distinct customer segments validated against ground-truth labels using Seaborn and Plotly visualisations.
View ProjectEF SET English Certificate 62/100 (C1 Advanced)
EF Standard English Test (EF SET)
June 1, 2026 – Present
AI Tools Workshop (Gemini, Claude and Kimi)
BE 10x
March 1, 2026 – Present
Google Data Analytics Professional Certificate (v2)
Coursera
November 1, 2025 – Present
12-Week Data Analytics Bootcamp
AI DataYard
February 1, 2025 – Present
10-Week Intensive Data Science & ML Bootcamp
Dice Analytics
July 1, 2024 – Present
Cultural Fit Analysis
The candidate's project diversity, covering API data extraction, HR analytics, customer segmentation, and price prediction, shows a broad interest in applying data analysis across different domains. The certifications and bootcamps indicate a strong drive for continuous learning and self-improvement. While the professional experience is not directly in a Data Analyst role, the QA Analyst position involves data-driven analysis and reporting, which aligns with the target role's requirements. The teaching role, while less directly relevant, highlights communication skills. The candidate's background suggests adaptability and a willingness to explore different applications of data skills.
Soft Skills & Operational Fit
The candidate demonstrates attention to detail, cross-functional communication, and data storytelling through project descriptions and the QA Analyst role. The teaching experience suggests an ability to communicate complex technical concepts clearly. The QA role also indicates an understanding of process optimization and report generation, which are valuable for operational fit in a data-driven environment.