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PHONE NUMBER AVAILABLE | Chicago, IL | EMAIL AVAILABLE | GitHub | Linkedin | Website | Publications
EDUCATION
University of Illinois - B.S. Mathematics and Computer Science Chicago, IL
Concentrations in Algorithmic Theory and Computational Mathematics
UIC Dean&#Street Address ;s List
EXPERIENCE
ASM Global Remote
Qualtrics Integration Intern April 2024 - Present
Utilized SQL and Python within Azure Data Services to build robust data pipelines, enhancing the efficiency of survey data collection
processes.
Wrote and optimized Python scripts in Databricks to automate the integration of survey data from the Qualtrics API system into
company databases, ensuring accuracy and relevancy of the data collected.
Performed data cleaning and preprocessing tasks to improve data quality, using advanced data science techniques alongside sentiment
analysis tools to prepare data for analytical applications.
Collaborated in the development and deployment of data integration solutions, streamlining data workflows and supporting
data-driven decision-making across the organization.
Rigility Aurora, IL
Data Collection Manager August 2023 - March 2024
Built a comprehensive data collection system using Python streamlining the client outreach program from data acquisition
to initial communication by scraping the internet for company websites based on given LLC names
Used BS and Selenium to extract contact details of potential clients from various online sources and Automatically interact with
potential client web pages to fill in contact forms
Integrated proxy rotation to enhance scraping speed and bypass rate limits
Developed system to cross-reference many data sources for each contact, automatically identifying and selecting the most
accurate information by prioritizing data sources containing relevant keywords and discouraging those without
Owned and designed a user-friendly GUI Using PyQt5 for facilitating easy interaction with the underlying code, enhancing user
experience and efficiency.
UIC Global Tech Experience Chicago, IL
Data Analyst Intern June 2023 - August 2023
Worked with a variety of teams to develop and implement strategy and roadmaps for data automations and reporting systems
Worked hands on to connect data from a variety of data sources connecting to powerBI reporting systems
Assisted in developing documentations and processes for team members to quickly understand and adopt developed systems
Used the Agile methodology to help solve complex problems
Python Pandas and NumPy for data manipulation, SQL for querying and aggregating data
Designed interactive Tableau/PowerBI dashboards and visualizations to effectively communicate complex data narratives and
insights
SKILLS
Data Analysis: Pandas, Numpy, SciPy, SQL window functions/ CTE s, SQLite3, Excel, Seaborn, Azure, Power BI, Matplotlib, Tableau
AI/Machine Learning: Regression, Image Classification, Clustering, Feature Engineering, CNN s, GAN s, PAC learning algorithms,
Classification and Translation Tasks, Pytorch, TensorFlow, Sci-kit Learn, Extensive Experience tuning LLMs, Sentiment Analysis
Mathematics: Probability Theory, Statistical Theory, Computational Geometry, Graph Theory, Combinatorics, Numerical Analysis,
Optimization method, Industrial and Computational Mathematics, Bayesian Inference, Linear Algebra, Stochastic Processes
Programming: OOP, Python, SQL, Octave, Julia, C/C++, Java, TypeScript, CSS, HTML, AWS, Bash/PowerShell, Git/SVN
RESEARCH
UIC Directed Research Project under Dr. Gyorgy Turan and Abhijeet Mulgund
Investigated the interconnections between XAI and probabilistic models, culminating in the creation of two sophisticated
Bayesian network models utilizing PgmPy. The first model integrates 15 variables to detect and diagnose heart disease
with enhanced accuracy. The second model visually represents and analyzes the impact of specific U.S. counties on the
propagation of COVID-19 to other counties.
COMAP Mathematical Modeling Competition Finalist
Developed a random forest model for gauging the momentum of a tennis match based off of a multitude of dynamic
factors, culminating in a model that could predict the next point scored with 91% accuracy.
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