Shanil Kothari Email & Phone Number

Tysons Corner, Virginia, United States

• Developed and deployed a suite of cybersecurity automations for the federal ATO process using Google Apps, UiPath, Python. Automated report generation, reminder emails and compliance tasks, saving teams 120+ hours weekly.• Developed and launched a smart search solution using Python, Azure AI Search, and OpenAI for semantic search, sentiment analysis and AI-generated summaries to highlight public sentiment on proposed regulations.• Built a proposal writing assistant using Python, Azure services. Streamlined document management with semantic chunking and retrieval, reducing proposal creation time by 70% and ensuring accurate, cited content.• Developed a Teams App using Teams library, Python, OpenAI to automate user stories generation and seamlessly upload selected stories to Jira. • Created AI voice chat simulator for USCIS and CBP training to enable realistic conversations with job-specific personas, enhancing employee onboarding and training assessment.

Tysons Corner, Virginia, United States

• Developed an automation bot using UiPath that processed more than 100,000 tax documents for Dept. of HHS.• Implemented machine learning models and OCR to recognize more than 200 handwritten text fields.• Developed an app using Python and UiPath to scrape web information for talent outreach.• Developed a natural language chat bot that can answer complicated questions on large tabular data.

College Park, Maryland, United States

• Worked with customers to solve technical issues with any software or system errors by providing remote support.• Used ServiceNow to create, manage and escalate tickets.• Helped approximately 6 to 8 customers hourly with their issues, queries, incident reports and requests.

College Park, Maryland, United States

• Teaching Assistant for FIRE198 and FIRE298. Worked with professor to develop and teach relevant material for the class.• Guided and helped students with technical doubts in their research projects and programming assignments.• Conducted independent research on the impact of invasive species on Ash Trees in the US. Used R and species distribution prediction models to predict their locations to prevent further damage of trees.

College Park, Maryland, United States

• Research project was funded by and in collaboration with APHIS - United States Department of Agriculture.• Student Lead for the team which predicted the potential spread of citrus diseases across the United States based on climatic and geographic data. • Used the Olson Model to create a cost function to predict the spread across different plantations of citrus.• Identified control measures and their impacts with the use satellite imagery and geographic object classification models to estimate the most efficient way to control the spread.

• Responsible for cleaning, collecting, and organizing data using Python and R.• Developed an interactive dashboard using Microsoft Power BI to visualize the data that helped clients make key business decisions.

College Park, Maryland, United States

• Research project was a collaboration of FIRE with APHIS of the United States Department of Agriculture.• Collected and used web data and data from state registries to identify farms selling livestock in Maryland, Delaware, and Virginia.• Worked in R, Python and Google Cloud Platform to collect and scrape web data, clean it, and visualize it.• Created an interactive web application using Shiny in R to display the data of more than 7000 possible farms which enabled APHIS to track small farms which are not listed with them.

Bachelor Of Science - Bs, Computer Science

High School Diploma