About

Experience:

Doctor Rooter 911

Software Engineer

April 2024 – Present

Chicago, IL

• Developed a Customer Relationship Manager (CRM) web application using Django (Python) for Doctor Rooter 911

• Integrated QuickBooks API, streamlining invoice tracking and reducing manual entry errors

• Designed and implemented the database using PostgreSQL and managed image storage with AWS S3

• Developed and automated an ETL process to aggregate invoice, job, and work order data from multiple sources

• Automated the extraction, cleaning, and merging of datasets using APIs and Selenium scripts, matching invoices and work order numbers, and uploading final reports to SharePoint for consistent and timely updates

• Designed and maintained dashboards in Power BI and Looker, providing actionable insights and visualizations for key business metrics

• Created responsive and user-friendly interfaces using HTML, JavaScript, and CSS

• Deployed the application on Heroku, ensuring reliable and scalable hosting

• Continuously improved the software based on user feedback, adding new features and enhancements over time

• Presented progress and development updates in meetings, showcasing the application’s capabilities while gathering real-time feedback

Department of Economics, University of Arizona

Graduate Associate

July 2022 – July 2023

Tucson, AZ

• Facilitated student success and comprehension by conducting 5 hours of highly effective and engaging office hours per week for ECON 435, ensuring students received personalized assistance and guidance

• Created a comprehensive set of lecture notes for the full semester, ensuring students had access to well structured course materials

• Leveraged problem-solving abilities to identify and address common areas of confusion or difficulty, proactively anticipating student needs and providing tailored guidance

• Exemplified strong communication skills by promptly responding to student inquiries via email, addressing course-related questions and concerns with clarity and professionalism

Department of Economics, University of Illinois Chicago (UIC)

Research Fellow

May 2022 – August 2022

Chicago, IL

• Served as a Summer Research Fellow at UIC, contributing to the development and writing of sections for a study comparing the  NLSY79 (National Longitudinal Survey of Youth 1979) and NSLY97 (National Longitudinal Survey of Youth 1997) datasets, focusing on women's participation in the Social Security Disability Insurance (SSDI) program

• Assisted in data collection, management, and cleaning, utilizing statistical software and programming languages to manipulate and analyze the NLSY79 and NSLY97 datasets

Department of Mathematical Sciences, DePaul University

Mathematics Tutor & Grader

January 2021 – March 2022

Chicago, IL

• Provided expert tutoring in a wide range of advanced mathematics subjects, including single and multivariable calculus, linear algebra, differential equations, discrete mathematics, set theory, number theory, abstract algebra, real analysis, advanced microeconomics, and probability & statistics

• Demonstrated versatility and adaptability by seamlessly transitioning between online (Zoom) and in-person tutoring sessions, ensuring a flexible and accommodating learning environment for students

• Demonstrated strong organizational skills by effectively grading homework assignments and providing constructive feedback to students enrolled in Dr. Enrico Au-Yeung’s multivariable calculus courses (I-II)

Amazon

Sortation Center Associate

June 2019 – September 2019

Crest Hill, IL

• Part of a team which was responsible for over 40,000 to 80,000 shipments a shift

• Efficiently moved pallets throughout the warehouse while meeting time-related goals assigned by management

• Loaded/unloaded trucks at a fast pace in order to speed up the shipment process 

• Maintained a scan rate of 200 per hour in order to allow customers to track their orders 

• Lifted packages of up to 80lbs in order to organize pallets for shipping

Selected Projects:

GroupMe Chatbot

Personal Project

April 2024 – Present

Chicago, IL

• Developed and maintained a chatbot named GroupMeAI using Flask, integrated with the GroupMe API for real-time interaction within a personal group chat

• Implemented features for responding to specific commands (e.g., jokes, fun facts, news) using random selection and tailored responses to enhance user engagement

• Integrated OpenAI's GPT-4 API to handle natural language processing tasks, allowing the bot to generate conversational responses based on user input

• Utilized Python libraries such as requests for HTTP requests, and random for dynamic response generation, ensuring a varied and interactive user experience

• Leveraged PostgreSQL to store chat messages; the bot retrieves recent messages for context-aware responses

• Deployed the bot as a 24/7 web service on Render, ensuring continuous operation and availability

• Maintained secure operation by using API keys and managing sensitive information

Presidential Election Model

Personal Project

January 2024 – Present

Chicago, IL

• Developed an advanced Presidential Election Model for the Electoral College using Python, leveraging libraries like Pandas, NumPy, SciPy, Matplotlib, and Seaborn for data manipulation, statistical analysis, and visualization

• Conducted simulations based on a multivariate normal distribution and a state correlation matrix to forecast election outcomes, estimating probabilities and modeling various scenarios

• Implemented weighted averages with time decay to assess candidate support trends, incorporating factors such as temporal changes, pollster reliability, sample size, and poll population to enhance predictive accuracy

Pomodoro Timer Mobile Application

Personal Project

October 2023 – Present

Chicago, IL

• Developed using Kotlin and XML in Android Studio, ensuring efficient and native app performance.

• Successfully published and maintained on the Google Play Store, demonstrating end-to-end software development and distribution capabilities

• Engineered adjustable timer settings for work, short breaks, and long breaks to cater to user preferences, enhancing user engagement

• Crafted a modern and responsive user interface, integrating gradient backgrounds and intuitive buttons for seamless user navigation

Investigating SSI Participation During the COVID-19 Pandemic

ECON 508 - Digital Research Methods & Transition to Research

Jan 2023 – April 2023

Tucson, AZ

• Utilized R and Python in order to employ advanced data merging techniques to integrate datasets from various sources, ensuring comprehensive and accurate data representation for the empirical analysis

• Developed and implemented a robust empirical model incorporating state and time fixed effects to examine the impact of COVID-19 deaths on SSI participation rates, both overall and within different age groups

• Presented findings and key insights from the research study to a diverse audience, effectively communicating complex concepts in a clear and engaging manner

Estimating Volatility in Five Stocks During Recent Financial Crises

Undergraduate Honors Thesis

April 2020 – March 2022

Chicago, IL

• Utilized Stata, a statistical software package, to conduct comprehensive analysis on the selected stocks, employing various econometric techniques and models

• Tested for stationarity and the ARCH (Autoregressive Conditional Heteroscedasticity) effect in the stock data, ensuring the validity and reliability of the subsequent volatility estimations

• Estimated several GARCH (Generalized Autoregressive Conditional Heteroscedasticity) class models, which are widely used to capture volatility clustering and time-varying volatility in financial time series data

• Visualized the estimated GARCH models, providing clear and informative visual representations of the volatility patterns during the dot com bubble and the 2008 financial crisis

The Effects of COVID-19 on the US S&P 500

ECON 376 - Time Series Analysis Final Research Project

April 2020 – May 2020

Chicago, IL

• Utilized a vector auto-regressive (VAR) model to estimate and analyze the inter-dependencies among variables overtime, generating valuable insights into the impact of COVID-19 on the US S&P 500

• Applied the Granger Causality Test to determine the causal relationship between new cases, new deaths per day, andthe S&P 500 index during the COVID-19 pandemic, providing evidence of a significant relationship between these variables

Other:

• Programming Languages: Python, JavaScript, Kotlin, R, Java, HTML/CSS, SQL (PostgreSQL, SQLite), Julia 

• Frameworks & Libraries: Django, Celery, React, Datatables, Select2, NumPy, Pandas, Tidyverse

• Tools & Technologies: Git, Heroku, AWS (S3), Redis, QuickBooks API, Power BI, Looker, Tableau, Stata, Microsoft Excel/Office

• Mathematics Coursework: Real Analysis I-II, Abstract Algebra I, Linear Algebra, Differential Equations, Probability & Statistics I-III, Calc I-III, Multivariable Calc I-II, Mathematical Pedagogy: Theory & Practice, Intro to Math Reasoning, Foundations of Advanced Mathematics

• PhD Economics Coursework: Microeconomic Theory I-III (ECON501A-C), Theory of Quantitative Methods in Economics (ECON 520), Econometrics I (ECON 522A), Dynamic Economic Analysis (ECON 502), Digital Research Methods & Transition to Research (ECON 508), Mathematical Economics (ECON 519), Teaching Methods in Economics (ECON 597C)

• Undergraduate Economics Coursework: Intermediate Macro & Micro, Intro to Econometrics, Game Theory, Time Series Analysis, Advanced Microeconomics, Microeconomics of Market Organization

• Languages: English (native), Gujarati (fluent), Hindi (conversational)

• Undergraduate Positions of Responsibility: President of Math Club (June 2021 – July 2022), Vice President of Math Club (June 2020 – June 2021)