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Data Analyst with less than a year in Data Analysis & Visualization
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Certified Data Analyst with an Industry Readiness Certificate from NxtWave’s Intensive 2.0 program. Proficient in Excel, SQL, Python, Power BI, and Tableau, with hands-on experience in real-time data projects including an an internship at Unified Mentor. Skilled in transforming raw data into meaningful insights through data cleaning, analysis, and visualization. Known for analytical thinking and a strong foundation in data-driven decision-making.
St. George College, Vazhakulam
Bachelor of Commerce · Computer Applications
August 1, 2021 – June 30, 2024
Unified Mentor
Data Analyst Internship
April 1, 2025 – May 1, 2025
India
Pharmaceutical Market Analysis
June 23, 2026 – Present
Designed an interactive dashboard to analyze the Bangladeshi generic medicine market, focusing on antimalarial and antipyretic segments to support business expansion strategies. Identified top drug classes, dominant manufacturers, dosage forms, and price competitiveness across over 21,000 medicine brands and 1,700 generics. Delivered insights on market saturation, competition intensity, and price positioning to aid strategic entry decisions, improving data-driven planning by 30%.
Brazilian E-Commerce Analysis
June 23, 2026 – Present
Designed and developed an interactive Power BI dashboard analyzing 100,000+ e-commerce orders between 2016 – 2018 to identify trends in customer behavior, delivery performance, and review scores. Discovered that delayed deliveries negatively impacted customer satisfaction, with an average review score of 4.09, enabling data-driven strategies to reduce delivery delays and improve ratings. Reduced average delivery times by 20 hours weekly through analysis of package weight versus freight value, giving logistics teams insight to optimize delivery operations and eliminate 6% of shipment delays. Delivered actionable insights that contributed to a 25% improvement in delivery performance strategies and enhanced overall customer experience and retention.
Fintech Loan Risk Analysis
June 23, 2026 – Present
Developed a loan risk dashboard analyzing 595M+ in approved credit, uncovering a 7% defaulter rate and identifying 35% higher default likelihood in end-of-day approvals. Enabled risk-based decision making by visualizing patterns in occupation, gender (64% male), and income-credit correlations, leading to 20% improvement in default risk detection. Drove business impact by recommending approval process optimizations, potentially reducing bad loan exposure by 15% and enhancing loan portfolio quality.
Industry Readiness Certificate – Data Analytics
NxtWave
May 1, 2025 – Present
Career Essentials in Data Analysis
Microsoft and Linked-in
April 1, 2025 – Present
Cultural Fit Analysis
The candidate's project diversity (pharmaceutical, fintech, e-commerce) indicates a broad interest and adaptability to different industry contexts, which is a positive for cultural fit in dynamic environments. The focus on delivering business impact and improving data-driven planning aligns with a results-oriented culture. The certifications and internship show a proactive approach to learning and professional development. However, the limited professional experience (one internship) means there's less evidence of long-term collaboration or navigating complex organizational cultures.
Soft Skills & Operational Fit
The candidate demonstrates strong analytical thinking and problem-solving skills through their project descriptions, focusing on identifying trends, uncovering issues (e.g., defaulter rates, delivery delays), and recommending solutions. Their ability to work on diverse projects (pharmaceutical, fintech, e-commerce) suggests adaptability. The internship experience indicates a willingness to engage in practical, client-facing work, which aligns with operational demands. However, without direct assessment data on teamwork or stress handling, these aspects remain inferred.