Sangita Dubukwad

Aspiring Data Scientist & Economic Analyst

Pune, IN.

About

Highly analytical and results-driven M.A. Economics candidate with a strong foundation in data science, machine learning, and quantitative economic analysis. Proven ability to leverage advanced statistical models and programming (Python, Excel) to solve complex problems, as demonstrated by developing credit risk pipelines for 150K records and forecasting GDP with 1.12% MAPE. Eager to apply robust analytical skills and a passion for data-driven insights to a challenging role in economic research or data analytics.

Work

Sarkari School

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Social Media Marketing Intern

Pune, Maharashtra, India

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Summary

Analyzed engagement datasets (Reach, Click-Through Rates) to optimize digital content strategy, leading to a quantifiable increase in platform visibility.

Highlights

Boosted Instagram reach by approximately 35% over 3 months through data-driven content optimization strategies.

Enhanced click-through rate (CTR) by 20% by rigorously analyzing engagement metrics and refining posting strategies.

Analyzed engagement datasets (Reach, Click-Through Rates) to optimize digital content strategy, leading to a quantifiable increase in platform visibility.

Step Ahead India

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Partnership Research Intern

Pune, Maharashtra, India

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Summary

Managed a stakeholder database using Excel to track partnership pipelines and coordinated outreach for 50+ potential collaborators.

Highlights

Managed and optimized a stakeholder database using Excel, successfully tracking partnership pipelines and coordinating outreach for over 50 potential collaborators.

Conducted comprehensive comparative market analysis of peer organizations, identifying key synergy opportunities and providing strategic insights that informed partnership lead's decision-making.

IDEAS – ISI Kolkata

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Data Science Intern

Kolkata, West Bengal, India

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Summary

Completed a 10-week intensive program focused on applied statistics, machine learning, and deep learning architectures.

Highlights

Collaborated with a research team to develop a robust credit risk modeling pipeline, processing a 150,000-record dataset to predict credit risk with high accuracy.

Applied Optuna for hyperparameter tuning across diverse machine learning models (tree-based and deep learning), optimizing model performance and gaining expertise in advanced class-imbalance correction techniques.

Completed an intensive 10-week program focused on applied statistics, machine learning, and deep learning architectures, building foundational expertise.

GD Associates (Wealth Management)

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Financial Analyst Intern

Pune, Maharashtra, India

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Summary

Reconciled mutual fund transaction logs and SIP datasets for a ~528-client, ~₹38.6 crore AUM portfolio, tracking active investments, cease dates and portfolio status.

Highlights

Reconciled mutual fund transaction logs and SIP datasets for a ~528-client, managing a ~₹38.6 crore AUM portfolio, ensuring accurate tracking of active investments and portfolio status.

Utilized Excel to identify 57 at-risk High Net Worth (HNW) clients for proactive review and pinpointed 172 top-up candidates, leveraging AUM and transaction history for strategic client engagement.

Assisted with critical branch operations, including processing LIC premium payments and ensuring transaction accuracy for clients, enhancing service efficiency.

Volunteer

Volunteer

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Hamari Pahchan - NGO

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Volunteered for a digital fundraising drive to secure donations for the cause.

Highlights

Volunteered for a digital fundraising drive for Hamari Pahchan - NGO, successfully securing donations to support various social causes.

Delegate

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YUVA SANGAM PHASE-III

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Selected as delegate by Savitribai Phule Pune University to participate in a cultural-educational visit from Maharashtra to Assam coordinated by IIT Guwahati.

Highlights

Participated as a delegate in YUVA SANGAM PHASE-III, a cultural-educational exchange program coordinated by IIT Guwahati, fostering inter-state cultural understanding.

Education

Delhi School of Economics

Delhi, Delhi, India
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M.A. Economics Grade: Pursuing

Fergusson College, Pune

Pune, Maharashtra, India
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B.A. Economics (Major) Grade: 8.28/10

Dnynopasak College of Science, Commerce and Arts, Parbhani

Parbhani, Maharashtra, India
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Class XII HSC Grade: 93.80%

Mamta High School, Gangakhed

Gangakhed, Maharashtra, India
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Class X SSC Grade: 90.40%

Languages

English

Skills

Programming Languages

Python, Pandas, NumPy.

Data Analysis & Tools

Excel, Data Analysis, Statistical Modeling, Econometrics, Time Series Analysis, Principal Component Analysis (PCA), OLS Regression.

Machine Learning

Machine Learning, Deep Learning, Credit Risk Modeling, Hyperparameter Tuning, Class Imbalance Correction, Random Forest, XGBoost, TabNet, SHAP, LIME.

Financial Analysis

Financial Analysis, AUM Management, SIP Datasets, HNW Client Management.

Marketing & Strategy

Digital Marketing, Content Optimization, Social Media Marketing, Engagement Metrics, Market Analysis, Stakeholder Management.

Projects

Does Correcting Class Imbalance Compromise Explainability?

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Summary

A research project comparing SHAP and LIME feature-ranking stability across various machine learning models on a credit risk dataset, investigating the impact of class imbalance correction techniques.

Evaluating Luminosity as an Economic Proxy Across Indian States

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Summary

A cross-sectional analysis of 29 Indian states to explain the gap between satellite nighttime luminosity (NTL) and official GSDP, using advanced statistical methods.

South Africa's GDP Per Capita: A Time Series Forecast

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Summary

A project focused on forecasting South Africa's GDP per capita (2025-2034) using World Bank data and benchmarking various time series models.