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Data Science with 1+ years in Statistical Modeling & Data Analysis
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Quantitative analyst with an M.Sc. in Statistics and applied experience analyzing large-scale national survey data to support insurance risk, reinsurance analytics, and public policy research. Strong foundation in statistical modeling, regression analysis, and hypothesis testing, with the ability to translate complex data into decision-ready insights using R, SPSS, and Excel.
Central University of Haryana
M.Sc. · Statistics
August 1, 2023 – June 30, 2025
Dr. Bhimrao Ambedkar University, Agra
B.Sc. · Statistics, Mathematics, Economics
August 1, 2019 – June 30, 2022
Institute of Economic Growth (IEG), Delhi
Research Intern
January 1, 2025 – June 1, 2025
Delhi, Delhi, India
Marketing Campaign Performance & ROI Analysis
October 1, 2025 – December 1, 2025
Evaluated multiple digital marketing campaigns using key metrics including conversion rate, cost per conversion, and ROI. Compared campaign effectiveness across email, social media, and search advertising channels. Identified high-ROI and high-conversion campaigns to optimize marketing budget allocation. Highlighted inefficiencies in high-spend campaigns with lower revenue returns. Provided data-driven recommendations to improve marketing efficiency and revenue generation. Domain: Business Analytics, Business Marketing, Performance Analytics.
Sales Funnel & Conversion Rate Analysis
July 1, 2025 – September 1, 2025
Analyzed end-to-end sales funnel data (Website Visits → Purchase) to identify customer drop-off points affecting conversion. Calculated stage-wise conversion rates and quantified funnel inefficiencies. Identified the Product View → Add to Cart stage as the primary bottleneck impacting sales performance. Simulated business impact scenarios showing a potential 15-18% increase in purchases with targeted funnel optimization. Recommended improvements in product information, pricing visibility, and promotional strategies to increase conversion. Domain: Business Analytics, Product Analytics, E-commerce.
Applied Statistical Modeling Skills in R and SPSS (National-level workshop)
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic background and internship at a research institute (IEG) suggest a fit for roles requiring rigorous analytical thinking and research. The self-directed projects in business analytics and marketing performance align well with practical application of data science in business contexts. The stated 'Future Interest & Working Goal' indicates a proactive learning mindset and an interest in advanced topics like attribution modeling and customer segmentation, which are valuable for a data science role. The diversity of projects (socio-economic, e-commerce, marketing) shows a broad interest in applying statistical methods across different domains.
Soft Skills & Operational Fit
The candidate demonstrates analytical thinking, problem-solving skills (identifying bottlenecks, optimizing budgets), and the ability to communicate insights through reports and summaries. The self-directed projects indicate initiative and a results-oriented approach. The research intern role suggests an ability to work with large, complex datasets and contribute to research-oriented tasks. However, there is no explicit information on teamwork, leadership, or stress handling from the provided data.