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Click here or scroll down to respond to this candidate Candidate's Name
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Passionate Data Science and Business Analytics enthusiast dedicated to leveraging data-driven insights for strategic
decision-making, fostering business growth. Seeking opportunities to apply expertise in a dynamic company committed to
innovation and success.
EDUCATION
University of Illinois at Chicago (UIC), IL Expected/May 2025
Major in Data Science Business Analytics; Minor in Finance GPA: 3.6/4.00
Elgin Community College, Elgin, IL May 2021 May 2023
GPA: 3.7/4.00
EXPERIENCE
University of Illinois at Chicago College of Engineering Chicago, IL
Teaching Assistant August 2024 Current
Conducted office hours and lab sessions for a class of 250 students, providing personalized and group assistance to enhance
understanding of course material.
Provided continuous support by responding to student inquiries and class-related problems outside of scheduled hours, ensuring
clarity and comprehension for all students.
Walmart Supercenter Addison, IL
Customer Service Representative July 2023 Current
Dedicated to providing exceptional assistance and fostering positive customer interactions, skilled in resolving inquires.
Constantly learning about finance department which can help me to do smooth transactions for customers.
Trainity Gujarat, India
Data Analyst Intern November 2022 Jan 2023
Conducted comprehensive data analysis on customer behavior data, identifying key trends and insights that contributed to strategic
decision-making.
Created visually compelling reports and dashboard using tools such as Excel, Python, SQL.
Axis Ray Gujarat, India
Python Developer Intern June 2022 Nov 2022
Executed day to day activities such as meeting with the team to design, maintain and implement the project.
Debugging and troubleshooting issues to improve application performance to functionality.
PROJECTS
Analyzing College Data
Led a comprehensive comparative analysis project titled "Academic Landscapes," exploring college metrics across different regions and
funding models using R and R Markdown. The project involved data preparation, analysis of admission rates, faculty salaries, and student
demographics, and detailed statistical testing to uncover insights into the educational landscape. Link AcademicLandscapeProject
Instagram User Analytics
Led the development of an Instagram User Analytics tool that utilized machine learning and data analysis techniques to analyze user
behavior and detect bot and fake accounts.
Implemented classification algorithms and clustering techniques using Python (scikit-learn) and performed data preprocessing with pandas
and NumPy.
Created data visualizations using Matplotlib and Seaborn to present insights and drive decision-making for campaign optimization.
Shreeji Annual Sales Report
Conducted a comprehensive analysis of Shreeji Company's annual sales report, leading to key insights such as identifying peak sales months,
top customer demographics, and primary sales channels.
Utilized Excel for data cleaning, processing, and visualization, resulting in strategic recommendations to target key customer segments and
improve overall sales performance. AnnualReport
Boston Housing Price Prediction Model:
Developed a regression-based machine learning model to predict housing prices using the Boston Housing dataset. Cleaned and
processed the data using pandas and NumPy. Applied linear regression and random forest algorithms in scikit-learn to improve
prediction accuracy. Achieved a mean squared error (MSE) of X and optimized the model using cross-validation. Visualized results with
Matplotlib and Seaborn for better interpretability.
Extracurricular Activities
Portfolio Management Team UIC
Analyst September 2024 Present
Stock Analysis & Pitching: Conduct in-depth financial analysis and data-driven stock pitches for various sectors, contributing to the
strategic selection of stocks for the organization's investment portfolio, fostering long-term value investing
Leadership & Networking: Collaborate with industry professionals and peers, enhancing communication, presentation, and
leadership skills through regular networking opportunities and stock pitch presentations.
Technical Skills: R, Python, C, C++, Data Mining, Data Analysis, Machine Learning, Probability and Statistics, Big Data, MYSQL,
Microsoft Excel, R, NumPy, Pandas, Power BI, Data Visualization, Tableau, TensorFlow, PyTorch, scikit-learn, AWS, hadoop, Data
Wrangling, ETL Pipelines, NumPy, Pandas, Supervised & Unsupervised Learning, Deep Learning, NLP, AI-driven Process Optimization.
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