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Data Analyst with less than a year in data analysis, financial data validation, and structured repor
Economics (Honours) undergraduate with a Data Science specialisation and demonstrated experience in data analysis, financial data validation, and structured reporting. Proficient in Advanced Excel, SQL, and data visualization tools including Power BI and Tableau, with hands-on experience analyzing and validating large datasets at Redington Limited. Skilled in identifying trends, performing exploratory data analysis, and translating complex data into clear, actionable insights through structured dashboards and reports. Independently built data-driven projects including an ML-based investment screening model across 3,600 records, reflecting strong analytical thinking and genuine curiosity about data. Detail-oriented, a quick learner of new tools, and comfortable communicating findings clearly to both technical and non-technical audiences.
BVM Global
CBSE Commerce with Applied Mathematics Class XII · Commerce with Applied Mathematics
N/A – May 31, 2023
Shiv Nadar University
B.Sc. Economics (Data Science) - Honours · Economics (Data Science)
N/A – June 30, 2026
Redington Limited
Credit Operations Data Analytics Intern
May 1, 2025 – July 1, 2025
Chennai, Tamil Nadu, India
Startup Success Predictor - ML-Based Investment Screening Model
January 1, 2026 – Present
•Assembled and preprocessed a dataset of 3,606 Indian startups from nine public sources, engineering India-specific features: city-tier classification, funding era indicators (Boom, Slowdown, Surge), investor count, and company age at funding. •Implemented and benchmarked six classification models - Logistic Regression (Full & Reduced), Rpart, CTree, Random Forest, and XGBoost applying SMOTE to address class imbalance; XGBoost achieved best performance (AUC: 68.83%, Accuracy: 62.2%). •Identified investor count, company age at funding, and funding era as primary drivers of startup success; EdTech, Logistics, and HealthTech showed positive association with Series A progression - findings directly applicable to early-stage investment screening.
Trade in the Global South: A Literature Review
January 1, 2025 – Present
•Co-authored a systematic literature review on South-South trade dynamics, global value chains, non-tariff barriers, and India's positioning between the Global North and South (ISBN: 978-81-970500-7-7). •Synthesised empirical data from UNCTAD and WTO datasets, including the 677% growth in South-South trade (1995–2012) and structural implications for trade policy and financial inclusion. •Awarded Special Mention at the International Conference; research presented to an academic and policy audience.
Microsoft Power BI Data Analyst
Unknown
June 1, 2026 – Present
Financial Markets
Yale University (Coursera)
June 1, 2026 – Present
Financial Analysis Fundamentals: A Python-Based Approach
Unknown
June 1, 2026 – Present
Fundamentals of Quantitative Modeling
University of Pennsylvania (Coursera)
June 1, 2026 – Present
Excel Skills for Business
Goldman Sachs
June 1, 2026 – Present
Data Analytics
Google (Coursera)
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic background in Economics (Data Science) combined with practical project experience in machine learning and financial analytics shows a strong analytical mindset. Their involvement in academic research and extracurricular leadership roles suggests a proactive, curious, and collaborative individual. The diversity of projects (ML-based predictor, literature review) and certifications indicates a broad interest in data science and financial domains, aligning well with a culture that values continuous learning and interdisciplinary approaches.
Soft Skills & Operational Fit
The candidate demonstrates strong problem-solving skills, attention to detail, and the ability to translate complex data into clear, actionable insights. Their experience in standardizing SOPs and collaborating cross-functionally indicates good operational fit and a proactive approach to improving workflows. The leadership roles in extracurricular activities suggest initiative and communication skills.