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Data Analyst with less than a year in Python, SQL, Power BI, and Microsoft Excel
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Aspiring Data Analyst skilled in Python, SQL, Power BI, and Microsoft Excel. Experienced in analyzing large datasets, building interactive dashboards, and generating actionable insights across real-world projects. Committed to continuous learning and eager to contribute to data-driven decision-making in a professional environment.
Emerson University Multan
BS Information Technology · Information Technology
August 1, 2023 – June 30, 2027
PSL Cricket Score Prediction
June 24, 2026 – Present
Built a Linear Regression model on 932 rows of real PSL ball-by-ball data to predict final innings totals from Powerplay statistics. Performed end-to-end EDA with 4 correlation and distribution charts; identified Powerplay Run Rate as the strongest predictor of final score. Engineered 7 features, applied StandardScaler normalization, and evaluated model using MAE (23 runs), RMSE, and R2 metrics. Detected and documented multicollinearity between correlated features, demonstrating understanding of model diagnostics and feature selection. Delivered written analysis translated for a non-technical coaching audience, communicating actionable insights from model coefficients.
Amazon Sales Analysis Dashboard
June 24, 2026 – Present
Built an interactive dashboard using 20,000+ sales records. Visualized key KPIs including revenue, discounts, and customer demographics. Analyzed customer behavior and delivery performance. Supported data-driven decision-making through clear and actionable visual insights.
Developer Performance Analytics & Ranking System
June 24, 2026 – Present
Designed and developed a console-based Developer Performance Analytics System using Python. Analyzed developer performance using metrics such as task completion, code quality, and activity levels. Implemented custom scoring formula to rank developers and generate a performance leaderboard. Developed modular functions for data analysis (team-wise averages, top performers, filtering by year). Applied control flow, loops, and data structures (lists, dictionaries) for efficient data processing. Implemented robust error handling and input validation to ensure smooth execution. Built a gamified ranking system with performance levels (Bronze, Silver, Gold) and head-to-head comparisons.
Hospital Management System
June 24, 2026 – Present
Designed a relational database schema with multiple interconnected tables. Executed complex SQL queries using joins, aggregations, and filtering techniques. Extracted meaningful insights to support operational efficiency and reporting.
Social Media Marketing Analysis
June 24, 2026 – Present
Analyzed 15,000+ rows of campaign data across multiple social media platforms. Performed data cleaning and transformation using Excel tools. Identified trends in audience targeting and campaign performance. Built interactive dashboards in Excel to visualize campaign performance and key KPIs. Provided actionable insights to improve marketing ROI.
Data Analytics Bootcamp
atomcamp
February 1, 2026 – Present
Ask Questions to Make Data-Driven Decisions
Google (Coursera)
January 1, 2025 – Present
Foundations: Data, Data, Everywhere
Google (Coursera)
January 1, 2024 – Present
Cultural Fit Analysis
The candidate's academic projects cover a good range of data analysis applications, from sports prediction to marketing and sales, indicating a broad interest in applying data skills across different domains. The 'Developer Performance Analytics' project shows an interest in internal process improvement and gamification. The certifications from Google and atomcamp highlight a proactive approach to skill development and alignment with industry best practices in data analytics. The academic nature of all projects means real-world team collaboration and stakeholder management experience is limited, which is a common aspect of cultural fit in a professional setting.
Soft Skills & Operational Fit
The candidate demonstrates a commitment to continuous learning through multiple certifications and academic projects. Their ability to communicate complex technical insights to non-technical stakeholders (PSL project) indicates good communication potential. Project diversity suggests adaptability and a problem-solving mindset. However, the lack of professional experience means operational fit in a fast-paced corporate environment is unproven.