Sreehari Pulickamadhom Sreedhar

Policy Analysis and Economics

+61 450087293 spulickamadhom@gmail.com u7322074@anu.edu.au Canberra, ACT

in/sreehari-sreedhar github.com/orectique

Profile

Data-driven policy analyst with expertise in simulation studies and economic modeling, focused on delivering actionable insights for complex policy challenges.

Areas of Expertise

Agent-Based Modelling - Policy Analysis - Microsimulation - Negotiation and Mediation - Statistical Analysis and Modelling - Machine Learning

Professional Experience

Modeller - Junior Policy Advisor,  Australian Local Government Association

Canberra, ACT  06/2024 ‐ 10/25

  • Developed a centralized knowledge base of data at the council level, streamlining policy analysis for local governments.

  • Designed and maintained small-area microsimulation models, enabling estimation of LGA level impacts of various policies with greater precision.

  • Delivered rapid, targeted analyses for Policy Directors on welfare, climate adaptation, and Commonwealth grants, supporting strategic decision-making.

Research Intern,  Mandala Partners

Canberra, ACT  09/2023 ‐ 12/2023

  • Synthesized comparative policy research to clarify the impact of federalism across Australian states and territories, informing client recommendations.

  • Engineered robust indicators for quality of life, education, and healthcare using multifactor statistical modeling, enhancing the depth of policy analysis.

Research Assistant,  QuantEcon@ANU

Canberra, ACT  07/2023 ‐ 12/2023

  • Applied high-performance computing and dynamic programming to solve classical economics problems, increasing research efficiency and accuracy.

  • Co-authored and reviewed QuantEcon lecture materials with leading professors, elevating the quality and reach of the educational platform.

  • Led a workshop on multidimensional weighting and constrained sampling in the context of spatial microsimulation, boosting participant proficiency in economic modeling.

Lead Data Analyst,  Amrita Vishwa Vidyapeetham

Coimbatore, TN  10/2021 ‐ 05/2022

  • Analyzed large-scale sociological survey data for a joint government-university project, delivering actionable findings for project recommendations.

  • Built an intuitive geospatial data analysis tool for non-technical social scientists, increasing adoption and usability among field researchers.

  • Developed and delivered workshops on ethical data usage and deidentification, improving data integrity and compliance across research teams.

Research Intern,  Dr. Peter J. Kempthorne, MIT

Remote  04/2021 ‐ 06/2021

  • Conducted spatial analysis and aggregation of ACLED social unrest data, revealing key trends in protest frequency for academic publication.

  • Developed new metrics for unrest severity using perceived violence and latent intensity, enabling more nuanced mapping and comparison of unrest periods.

  • Co-authored paper accepted for presentation at Joint Statistical Meetings 2022.

Education

Master of Intl. and Dev. Economics,  Australian National University

Canberra, ACT  02/2024 ‐ Present

Relevant topics: Microeconomic policy - Econometrics and modelling - Game theory and competition - Static and dynamic optimization - Development policy

  • Developed and implemented accelerated CGE models with state-of-the-art optimizers, enhancing the analysis of complex economic scenarios.

  • Applied experimental and quasi-experimental methods in coursework and research, strengthening proficiency in policy evaluation and impact assessment.

Bachelor of Applied Data Analytics,  Australian National University

Canberra, ACT  02/2023 ‐ 12/2023

Relevant topics: Demographic cohort analysis - Regression modelling - Social network analysis - Data wrangling and mining

  • Built and validated microsimulation models to analyze the spatial distribution of Stage-3 tax cut impacts, providing insights into regional disparities.

  • Used neural network classifiers and graph analysis to study suspected state-backed troll accounts on Reddit, contributing to the understanding of online manipulation.

Mediation and Conflict Management,  Harvard Law School

Remote  Spring 2022

Relevant topics: Negotiation and mediation - Conflict resolution

  • Engaged in classroom simulations and case study analyses, developing effective negotiation and conflict resolution skills.

Data, Economics, and Development Policy - MicroMasters,  MIT - JPAL

Remote  02/2022 - 08/2022

Relevant topics: Microeconomics - Econometrics - Qualitative analysis - Survey design - Development policy - Research ethics

  • Completed rigorous coursework in microeconomics, econometrics, and development policy, with a focus on evidence-based approaches to global challenges.

  • Applied quantitative and qualitative methods to analyze real-world development interventions, emphasizing research ethics and effective survey design.

Integ. MSc. Data Science,  Amrita Vishwa Vidyapeetham

Coimbatore, TN  08/2020 ‐ 12/2022

Relevant topics: Statistical modelling - Database management and design - Cryptography - Optimization - Real analysis - Linear algebra

  • Developed a strong foundation in statistical modeling, database management, and optimization, applying these skills to real-world data science projects.

  • Collaborated on interdisciplinary research, leveraging advanced analytical techniques to address complex problems in cryptography and data analysis.

  • Transferred to ANU for a more policy-focused curriculum, aligning academic trajectory with career goals in policy analysis.

Other Courses

  • International Political Economy of Decarbonization - Harvard DCE

  • Monetary Policy Analysis and Forecasting International Monetary Fund (IMFx)

  • Effective Leadership through Emotional Intelligence University of Oxford (Online)

  • MicroMasters in Entrepreneurship Indian Institute of Management, Bangalore (IIMBx)

Skills

  • Languages/Frameworks: Python, Julia, MATLAB, R, Stata, Power BI, Excel

  • Simulation, Econometric Modelling, and Analysis

  • Data Wrangling and Mining, Pipelining and Management, Visualization and Communication

  • Neural Networks and Deep Learning

  • Natural Language Processing