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Data Analyst with 1+ years in Data Visualization & Machine Learning
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Data Analyst with 1.9 years of experience in analyzing customer behavior, optimizing network performance, and building interactive dashboards. Proficient in Python, SQL, Power BI, and various data analysis and machine learning tools, with a strong foundation in data structures, algorithms, and big data concepts. Skilled in transforming raw data into actionable intelligence and driving data-driven decision-making across fintech and telecom domains.
Hitec University
Bachelor of Science · Computer Science
September 1, 2020 – July 1, 2024
Zindigi
Data Analyst
September 1, 2025 – Present
Islamabad, Islamabad Capital Territory, Pakistan
Huawei
Data Analyst
September 1, 2024 – September 1, 2025
Islamabad, Islamabad Capital Territory, Pakistan
LegiSearch (Legal Document Search Engine)
June 24, 2026 – Present
Developed a system for advanced legal document search. Built a web scraper for up-to-date information from Islamabad and Lahore High Courts. Used tokenization to enhance search accuracy and relevance. Managed a comprehensive database for efficient storage and retrieval. Enabled precise legal research with organized, relevant information.
Cafe Rewards and Offers Analysis Dashboard in Power BI
June 24, 2026 – Present
Developed an interactive Power BI dashboard to analyze customer transactions, rewards, and offer effectiveness in a café rewards program. Segmented 17K customers by age, gender, and income group for targeted audience insights. Evaluated 2M in transactions, with an average transaction value of 12.8K, analyzing trends by gender and income level. Assessed offer performance (BOGO, Discount, Informational) and tracked customer engagement from receipt to completion. Identified top marketing channels (web, email, mobile, social) and their impact on offer engagement and completion rates.
Paris Olympics Games 2024 Performance Analytics Dashboard in Power-BI
June 24, 2026 – Present
Developed an interactive Paris 2024 Olympic Games dashboard using Power BI, focusing on data modeling and advanced DAX functions. Structured and analyzed complex datasets to provide insights into athlete statistics, country performances, and historical Olympic data. Designed intuitive visualizations, including interactive maps and gender distribution charts, for enhanced data comprehension. Leveraged a professional template to deliver a clean and user-friendly dashboard layout.
Employee Demographics and Performance at IBM
June 24, 2026 – Present
Built an interactive dashboard showcasing age diversity and gender balance. Analyzed educational backgrounds across science, medicine, and marketing. Highlighted team strengths in sales, research, and development. Tracked performance metrics like hourly rates, travel, and achievements. Delivered insights to support a diverse, high-performing workplace.
Retail Alchemy: SQL-Based Sales Insights
June 24, 2026 – Present
Analyzed retail sales data using SQL, focusing on sales trends, customer behavior, and category performance. Performed data cleaning, exploratory analysis, and business intelligence reporting. Extracted insights on top customers, high-value transactions, seasonal sales trends, and product demand. Developed SQL queries for sales by category, peak sales months, and customer demographics. Identified best-selling products and time-based sales distribution (morning, afternoon, evening shifts).
Zomato Sales and Customer Insights Dashboard in Power BI
June 24, 2026 – Present
Designed an interactive Power BI dashboard to analyze Zomato's sales, customer behavior, and city-wise performance (2017-2020). Processed total sales of 987M, with 150K orders, 148K ratings, and 2M quantity sold for business insights. Identified top-performing cities like Baner (Pune) and BTM (Bangalore) based on sales, orders, and customer retention. Conducted a time-series analysis, highlighting a sales peak in 2019 (0.41B) followed by a decline in 2020. Implemented DAX measures and KPIs to track 78K active users and analyze city-based rating trends..
Comprehensive Sales Analysis for Blinkit - India's Last Minute App
June 24, 2026 – Present
Developed a Power BI dashboard for Blinkit sales analysis. Visualized total sales and average sales. Analyzed fat content sales (low-fat vs. regular) by location and tier. Visualized sales distribution by item category. Identified top-performing outlets. Integrated interactive filters for enhanced exploration.
Revealing the Ultimate FIFA World Cup Stats
June 24, 2026 – Present
Created an interactive dashboard showcasing a century of FIFA World Cup history. Analyzed trends in attendance, goals scored, matches played, and qualified teams. Highlighted champions and their dominant performances. Identified the most frequent participants and hosts of the tournament. Provided football enthusiasts with a data-rich, comprehensive view of the World Cup.
Big Data Fundamentals with PySpark
Datacamp
June 1, 2026 – Present
Data Analyst in SQL
Datacamp
June 1, 2026 – Present
Data Analyst in Python
Datacamp
June 1, 2026 – Present
Power BI Fundamentals
Datacamp
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's diverse project portfolio, ranging from sports analytics to retail and legal document search, demonstrates a broad interest in applying data analysis across different sectors. Their academic background in Computer Science and multiple certifications in data analysis tools (SQL, Python, Power BI, PySpark) indicate a strong commitment to continuous learning and skill development. This aligns well with a culture that values curiosity and versatility in a data-driven role.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to translate complex data into understandable visualizations and insights, which suggests good communication and problem-solving skills. The diversity of projects implies adaptability and a proactive approach to learning and applying new tools. Experience with RPA solutions at Huawei also points to an operational mindset focused on efficiency.