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Data Analyst with less than a year in Data Visualization & Analytics
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Economics student and Data Analyst at the intersection of analytical rigor and AI-driven efficiency. I specialize in transforming complex datasets into clear, strategic narratives that bridge the gap between technical ambiguity and growth-oriented decision-making. Beyond just processing numbers, I am dedicated to uncovering the "why" behind the data to drive tangible business outcomes. I am eager to leverage my background in economic theory and hands-on experience to contribute as a Data Analyst, helping organizations turn data into a competitive advantage.
National University of Sciences and Technology (NUST)
Bachelor of Science · Economics
January 1, 2024 – January 1, 2028
Veralyze Insights
Data Analyst
May 1, 2026 – Present
India
Outlier 2026
Lead, Feedback Clinic
March 1, 2026 – Present
India
Excelerate
Data Visualization Trainee Intern
August 1, 2025 – October 1, 2025
India
Lead Generation & Outreach Dashboard
January 1, 2026 – March 1, 2026
Developed a Market Intelligence & Outreach Performance dashboard in Tableau to track multi-channel engagement, including Email, LinkedIn, and Call response rates. Engineered a data extraction tracking system that visualized over 10,000+ records processed across UK and US markets to monitor team productivity. Designed interactive KPIs and navigation features in Tableau, allowing the team to filter outreach composition by team member and channel mix. Managed and cleaned datasets (e.g., 10,000+ outreach records across UK and US markets) in Excel using SQL-based logic to ensure accurate reporting of responses and response rate. Created high-impact visualizations that trended on Tableau Public, demonstrating advanced skills in dashboard interactivity and data storytelling.
Customer Churn Analysis
January 1, 2026 – January 1, 2026
Analyzed behavior of 7,043 telecom customers to identify churn patterns based on tenure suggested, contract type, and monthly charges. Engineered new features including contract type buckets and tenure bands to improve segmentation and insights. Generated 11 visualizations (histograms, box plots, heatmaps) to highlight churn-prone segments. Revealed that 38% of churned users were on monthly contracts with less than 3-month tenure, suggesting early engagement strategies.
Hospital Readmission Analysis
September 1, 2025 – September 1, 2025
Cleaned and processed a 10-year dataset of 100,000+ clinical records from 130 U.S. hospitals using SQL to identify key drivers of patient readmission. Engineered diagnostic and demographic features using CTEs and CASE statements to segment patient data into risk buckets like Repeat Visitor. Discovered that 'Repeat Visitors' face a 21.40% early readmission rate—more than double the rate of first-time patients. Identified age-specific health trends using RANK() window functions, revealing high diabetes prevalence in younger patients versus cardiac issues in older adults. Correlated medication complexity with readmission risk, finding that patients on high-count regimens (70+ prescriptions) showed significantly higher return rates.
Advanced Data Visualization with Tableau
Tableau Learning Partner
January 1, 2025 – Present
Google Business Intelligence Certificate
Coursera
January 1, 2025 – Present
Advanced MySQL Topics
Meta
January 1, 2025 – Present
Aspire Leaders Program
Aspire Institute
January 1, 2025 – Present
Google Data Analytics Certificate
Coursera
January 1, 2024 – Present
Cultural Fit Analysis
The candidate's diverse project portfolio, including professional and personal projects, showcases a broad interest in data analysis applications. Their involvement in volunteer work and leadership roles indicates a proactive and community-oriented mindset. The certifications and continuous learning efforts align with a growth-oriented culture. However, the candidate is still pursuing a bachelor's degree, which might indicate a need for mentorship and structured guidance in a professional setting.
Soft Skills & Operational Fit
The candidate demonstrates strong analytical thinking, problem-solving skills, and a proactive approach to identifying business insights. Their experience in cross-functional liaison and managing project timelines indicates good organizational and collaborative abilities. The volunteer experience also suggests leadership and initiative.