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I'm Purti Sadhwani, an MSc Economics graduate at the University of Bonn, specializing in applied econometrics and data science. I design pricing, risk, and forecasting models using Python and SQL, and build dashboards with Power BI to support data-driven decision making. My work blends econometric methods with machine learning to quantify market dynamics and social outcomes, with a focus on pricing, revenue optimization, and policy impact analysis. I enjoy collaborating across disciplines and turning data into structured insights.…I'm Purti Sadhwani, an MSc Economics graduate at the University of Bonn, specializing in applied econometrics and data science. I design pricing, risk, and forecasting models using Python and SQL, and build dashboards with Power BI to support data-driven decision making. My work blends econometric methods with machine learning to quantify market dynamics and social outcomes, with a focus on pricing, revenue optimization, and policy impact analysis. I enjoy collaborating across disciplines and turning data into structured insights.

Purti Sadhwani

Data Scientist, Data Analyst, Marketing Analyst, +4

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I'm Purti Sadhwani, an MSc Economics graduate at the University of Bonn, specializing in applied econometrics and data science. I design pricing, risk, and forecasting models using Python and SQL, and build dashboards with Power BI to support data-driven decision making. My work blends econometric methods with machine learning to quantify market dynamics and social outcomes, with a focus on pricing, revenue optimization, and policy impact analysis. I enjoy collaborating across disciplines and turning data into structured insights.…I'm Purti Sadhwani, an MSc Economics graduate at the University of Bonn, specializing in applied econometrics and data science. I design pricing, risk, and forecasting models using Python and SQL, and build dashboards with Power BI to support data-driven decision making. My work blends econometric methods with machine learning to quantify market dynamics and social outcomes, with a focus on pricing, revenue optimization, and policy impact analysis. I enjoy collaborating across disciplines and turning data into structured insights.

Available to hire

I’m Purti Sadhwani, an MSc Economics graduate at the University of Bonn, specializing in applied econometrics and data science. I design pricing, risk, and forecasting models using Python and SQL, and build dashboards with Power BI to support data-driven decision making.
My work blends econometric methods with machine learning to quantify market dynamics and social outcomes, with a focus on pricing, revenue optimization, and policy impact analysis. I enjoy collaborating across disciplines and turning data into structured insights.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Language

English

Fluent

German

Advanced

Hindi

Advanced

Sindhi

Intermediate

Work Experience

Student Research Analyst at Center for Development Studies, University of Bonn

March 1, 2025 - March 1, 2025

Prepared, cleaned, and validated large cross-country datasets using Python, ensuring high data quality for market and policy analysis. Applied econometric and sensitivity modeling in Stata to quantify market-trend and pricing effects, supporting evidence-based strategic insights. Built and validated machine-learning models (RF, XGB) for behavioral and risk segmentation, applying clustering and predictive analytics concepts transferable to market response and pricing analytics.

Research Scientist at Department of Economics, University of Bonn

March 1, 2025 - March 1, 2025

Managed and analyzed large-scale research datasets, developing interactive Power BI and Excel dashboards to identify patterns and key performance indicators relevant for policy and market analysis. Designed automated Python pipelines for data aggregation, validation, and transformation, improving workflow efficiency by 40% and ensuring consistent, reproducible results. Advised colleagues on appropriate statistical procedures and reporting methods.

Research Assistant at Institut d'études politiques Sciences Po Paris

December 1, 2021 - December 1, 2021

Research project: 'Who is Leading the Change': Conducting a global study on the career paths of economists using Python for data cleaning and statistical evaluation. Analyzed reports on policy and finance, extracting insights relevant to pricing risks and market stability, with visualization in Stata. Collaborated with the OECD on macroeconomic trend and policy forecasting, applying econometric and predictive techniques to assess market stability and risk exposure. Authored an independent study on real estate market dynamics, analyzing housing bubbles and financial indicators using Python and Stata for data analysis and visualization.

Policy Research Intern at Management Development Institute, Gurgaon, India

September 1, 2021 - September 1, 2021

Analyzed long-term savings and investment patterns in India (1950s–present) using R. Data preparation, analysis, and visualization. Conducted literature review and built structured datasets, ending in a research paper.

Student Data Analyst at Center for Development Studies, University of Bonn (Gender Group)

March 1, 2025 - March 1, 2025

Conducted data preparation, cleansing, validation, and analysis for international quantitative social and market research projects (gender, migration, climate change, labor markets) using Python. Performed econometric modeling to analyze market developments and price sensitivity, supporting evidence-based strategy using Stata. Built and validated machine-learning models (Random Forest, XGBoost, SVM) to classify communities by vulnerability, applying clustering and predictive analytics concepts transferable to customer-behavior simulation and pricing models.

Junior Data Scientist at Department of Economics, University of Bonn

March 1, 2025 - March 1, 2025

Managed large-scale datasets and built interactive dashboards in Power BI and Excel to uncover patterns and KPIs comparable to commercial and customer analytics. Designed automated Python pipelines for data aggregation and validation, improving efficiency by 40% and enabling data-driven decision-making. Advised colleagues on appropriate statistical procedures and reporting methods for internal decision-making.

Junior Data Scientist at Institut d'Études Politiques Sciences Po Paris

December 1, 2021 - December 1, 2021

Research project: 'Who is Leading the Change': Conducting a global study on the career paths of economists, with data analysis in Python. Analyzed reports on policy and finance, extracting insights relevant to pricing risks and market stability, with visualization in Stata. Project with the OECD: Conducted research on economic measures, applying trend analysis and evaluation of policy measures with methods transferable to pricing and risk assessment. Research paper: 'Effects of real estate bubbles on the housing market' using Python and Stata for data analysis and visualization.