Dropout Mitigation: A Logistic Modelling Approach
Independent Project.
Working Paper, 2019
This paper seeks to understand and mitigate the determinants of dropout-likelihood in rural Indian schools.
CV
Education
- B.S. in Applied Economics and Management, Cornell University, 2023 (Expected)
- GPA - 3.93
- Dyson Diversity Scholar
- Research Honors in Social Science
- B.S. in Biometry and Statistics, Cornell University, 2023 (Expected)
- GPA - 3.95
- Concentrations:
- Computer Science & Machine Learning
- Computational Statistics & Data Management
Relevant Coursework
- Real Analysis (A)
- Honors Introduction to Analysis (A+)
- Stochastic Processes
- Econometrics
- Statistical Computing
- Theory of Statistics
- Risk Simulation & Monte Carlo Methods
- Intro to Probability & Statistical Inference
- Linear Algebra
- Multivariable Calculus
- Object-Oriented Programming & Data Structures
- Computing using MATLAB
- Strategy
- Finance
Research Experience
- Spring 2021 - Present: Research Assistant, Cornell University
- Worked under the guidance of Daniela Scur, leading the data collection and processing for Dampening Natural Disasters’ Disruptive Effects on Firms and Labor Markets.
- Successfully web-scraped ~25 million PDF files in Portuguese, and processed them.
- Converted the complicated and unstructured PDFs into more accessible .csv files for further analysis.
- Created topic models to classify text data using the LDA algorithm.
- Summer 2022 - Present: Dean’s Summer Research Fellow, Columbia Business School
- Worked under the guidance of Jorge Guzman (Columbia Business School), co-authoring with Maria Roche (Harvard Business School) and Annamaria Conti (IE Business School).
- Created data pipelines and authored an open-source R package (STE).
- Worked on projects in Strategy, Entrepreneurship, and Digital Innovation.
- Summer 2021: Data Reproducibility Researcher, American Economic Association
- Responsible for reproducing results in manuscripts submitted for review to AEA journals under the AEA Data Editor, Lars Vilhuber.
- Debugged and reproduced code in 30+ manuscripts, and verified the validity of the data. Generated reports of the replication process, which were then used to make the review decision for the manuscripts.
- Authored an open-source data utility tool which is used by AEA to upload their reproduction files to Zenodo.
- Spring 2021: Research Assistant, Cornell University
- Worked under the guidance of Reza Moghimi, studying Twitter sentiment’s effects on the financial markets.
- Carried out literature reviews for the paper, studying NLP algorithms to understand which one would be the most effective for our use case.
- Helped in the development of Python code to collect the data and conduct the analysis.
Coding Skills
- Scripting Languages
- Python
- R
- Java
- Visual Basic (VBA)
- JavaScript (Intermediate)
- Statistical Analysis
- STATA
- MATLAB
- Data Scraping
- PDFPlumber
- BeautifulSoup
- Selenium
- Google Geocode API
- Data Management
- SQL
- GraphQL
- Excel
- Microsoft PowerBI (Intermediate)
- AWS (Exposure)
- Google Cloud (Exposure)
- Data Visualisation
- Tableau
- Adobe InDesign
Open-Source Software
- R Package: STE
- R Package to implement the framework developed in Treatment Effects in Managerial Strategies, using machine learning in a causal inference setup.
- Python: Upload-To-Zenodo
- Python code to parse directories and upload the code to Zenodo. This is used by the AEA replication team for smoother synchronisation of their files.
Research Projects
Twitter Sentiment & Financial Markets - An Event Study
Under the guidance of Reza Moghimi.
Work In Progress, 2021
This paper seeks to study the impact of Twitter sentiments on stock prices.
Dampening Natural Disasters’ Disruptive Effects on Firms and Labor Markets
Under the guidance of Daniela Scur.
Work In Progress, 2021
This paper seeks to understand the effects of climate shocks on firms and labor markets in Brazil.
Data Reproducibility - American Economic Association
Under the guidance of Lars Vilhuber.
Work In Progress, 2021
Worked as a Data Reproducibility Researcher to run reproducibility checks for manuscripts submitted to the AEA.
Treatment Effects in Managerial Strategies
Under the guidance of Jorge Guzman.
Published in Social Science Research Network (Working Paper), 2022
This paper seeks to formalize the treatment effects of strategic choices under the Rubin Causal Model.
Approaches and Resources for Improved Student Outcomes: Evidence from Brazil
Independent Project.
Published in Social Science Research Network (Working Paper), 2022
My undergraduate thesis explores how strategic choices in schools affect student outcomes.
Sponsoring Innovation: Evidence from GitHub
With co-authors Annamaria Conti, Maria Roche, & Jorge Guzman.
Published in National Bureau of Economic Research (Working Paper), 2023
This paper seeks to understand the effects of the introduction of GitHub Sponsorships on digital innovation.
Talks
Summer Research Presentation
Talk at Columbia University, Columbia Business School, New York, New York
Teaching
Professional Work Experience
- Ascenta Management Consulting
- Founder & CEO (August 2019 - Present)
- Recognized as India’s Top 10 Consultants (CEOInsights Mag)
- Head teams of volunteer consultants working pro-bono with local Indian Small and Medium Enterprises to improve their operations workflows, cut costs, expand their clientele, and provide effective data-driven marketing strategies.
- Consulted 20+ local businesses using data-backed insights to aid resource mobilization and advance the expansion of revenue streams for the firms – raising revenues for our customers by an average of 28% in a 4-month project period.
- Cornell Business Analytics
- Vice President (August 2020 - Present)
- Motivate team-members to ensure the nurturing of innovative ideas and the timely delivery of deliverables.
- Lead a team of 30 analysts to organize the recruitment screening of 180+ applicants, designing innovative challenges.
- Optimized inventory management for an MNC using management science theory and MS Excel and JavaScript.
- Leveraged data to create visual insights and Tableau dashboards for a startup to establish hotspots for its launch.
- Meta
- Big Data & Market Intelligence Analyst Extern (February 2022 - May 2022)
- Collaborated with teams to use data-driven insights for suggesting clients to Meta’s Global Business Group.
- Innovated machine learning models (k-means clustering & random forests) for insights and predictive analytics.
- Consulted for internal teams in Meta, curating a client acquisition strategy for the Small Business Clients Group.
- Grant Thornton International LLP
- Research Trainee – Global Research Centre (December 2018 - January 2019)
- Developed a database of client information in order to streamline communication across Grant Thornton India by leveraging Capital-IQ and Avention databases, implementing a heavy use of SQL and VBA for business analytics.
- Analysed companies to profile their strategies and risks to produce thorough SWOT analyses for industries GT India’s clients operate in, while consulting with Australian clients and compiling market-competition research reports for them.
Honors & Media Coverage
- Recognised as one of India’s Top 10 Business Consultants by CEOInsights Magazine India for my work with Ascenta Consulting.
- Dean’s List for all my semesters at Cornell University.