Data Analyst with less than a year in Large-Scale Data Operations & Econometric Modelling
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Assessing your cultural and operational fit
Economics postgraduate (International Trade) with hands-on experience in large-scale data operations, econometric modelling, and statistical risk analysis. Proficient in Excel, STATA, R, Python, SQL, and Power BI. Experienced in managing high-volume primary and secondary datasets, applying panel-data and GMM frameworks, and translating quantitative findings into decision-ready insights.
Symbiosis School of Economics, Symbiosis International University
M.Sc. Economics · International Trade
N/A – June 30, 2026
St. Paul's Cathedral Mission College, University of Calcutta
B.Sc. in Economics (Hons) · Economics with Statistics and Mathematics
N/A – June 30, 2024
DAI Research and Advisory Services
Research Intern
May 1, 2025 – July 1, 2025
New Delhi, Delhi, India
Econometric Assessment of U.S.-India Gems Trade Dynamics
June 17, 2026 – Present
Tariff impact analysis using trade forecasting and competitiveness econometric models.
Consumer Buying Behaviour in Indian E-commerce
June 17, 2026 – Present
Data analysis and pattern identification across emerging markets using R.
SME Access to Trade Finance
June 17, 2026 – Present
Evaluated digital invoice financing (TReDS) in reducing trade finance gaps- policy-focused applied research.
PVR-INOX Merger Case Study
June 17, 2026 – Present
Financial and strategic analysis evaluating revenue, efficiency, and market consolidation impacts.
The Impact of Global Supply Chain Resilience Strategies on Corporate Performance in the Face of Geopolitical Risks
January 1, 2014 – January 1, 2024
Analysed 231 firm-year observations across 21 MNCs (2014–2024) using two-way Fixed Effects and GMM models. Constructed SCR index (Inventory/COGS) and integrated country-specific GPR indices for panel estimation, replicating rigorous research design practices used in policy evaluation. Identified statistically significant negative impact of SCR on ROA (β ~ -0.20, p<0.01); models explained up to 18.2% within-firm. Prepared data visualizations, tables, and analytical summaries for academic presentation.
Data Analytics with Python
NPTEL - IIT Roorkee
June 1, 2026 – Present
Best Delegation Award – WTO Simulation (USA Delegate)
Unknown
June 1, 2026 – Present
Bronze Medal – Inter-college Paper Presentation: "Gender Equity – Workforce Optimization Through Job Distribution Based on Gender Potential."
Unknown
June 1, 2026 – Present
Rapporteur - 66th ISLE International Conference
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects and volunteer experience indicate a strong interest in policy-focused research, social impact, and community engagement. This suggests a good cultural fit for organizations that value analytical rigor, ethical considerations, and contributions beyond purely commercial objectives. The diversity of academic projects (trade, e-commerce, supply chain, finance) shows a broad intellectual curiosity and adaptability to different problem domains. However, the lack of direct industry experience outside of an academic internship might require some adjustment to a fast-paced corporate environment.
Soft Skills & Operational Fit
The candidate demonstrates strong soft skills such as communication, problem-solving, leadership, adaptability, and teamwork, which are crucial for collaborative data analysis environments. Experience in managing field enumerators and collaborating with international research teams indicates good operational fit for roles requiring coordination and rigorous data collection methodologies. The 'Best Delegation Award' and 'Rapporteur' roles suggest strong presentation and summarization abilities.