Name: Manushi Patel

Job Role: CS Grad Student

Location: Chicago, IL

Skills

SQL 85%
PYTHON 90%
R 75%
Data Analytics 90%
Data Engineering 70%
Data Visualization 80%
Statistical Analysis 75%
Machine Learning 75%

About

About Me

I am currently pursuing a Master in Computer Science at Illinois Institute of Technology, focusing on Data Analytics and Generative AI. I have experience in data analysis, exploratory data analysis (EDA), statistical modeling, and machine learning, with proficiency in Python, PyTorch, and SQL.
I have worked on impactful projects, including AI-powered text data processing, stock price forecasting using LSTMs, and Power BI-based company performance reporting.

  • Profile: Data Science & Analytics
  • Domain: Healthcare,  Education
  • Education: Master of Computer Science
  • Language: Python, R, SQL, C++, JavaScript CSS, HTML, T-SQL, MATLAB
  • Visualization Tools: Microsoft Power BI, Tableau, Looker
  • Other Skills: Cloud, PySpark, PyTorch, Git, Google Analytics, MS Office, Deep Learning, Statistical Analysis, Prompt Engineering, CUDA
  • Soft Skills: Collaboration, Critical Thinking, Strong Witten & Verbal Communication, Problem Solving

0 +   Projects completed

GitHub

Resume

Resume

Driven Computer Science graduate student with a strong focus on data science and machine learning. Proficient in statistical analysis, machine learning algorithms, and data-driven problem solving, with hands-on experience in developing impactful projects and solutions.

Internships


JUN 2025 - Present

Software Development Consultant

Leap of Faith Tech. LLC

Leap of Faith® Technologies develops AI-driven healthcare tools, analytics, and education solutions to accelerate innovation and improve patient care.

  • Patrol App Testing: Set up Android/iOS environments, debugged code, and developed automated patrol test cases to ensure app reliability. Created, formatted, and separated test flows for multiple tickets using Jira.
  • Data ETL Pipeline (iEMR): Researched and implemented data extraction, transformation, and loading workflows for iEMR. Focused on integrating patient data, mapping input-output fields, and preparing structured datasets for AI model training.
  • Collaboration & Tools: Actively participated in daily scrums, requirement meetings, and team discussions with leads. Used Jira for ticket tracking and Bitbucket for code management.

MAY 2024 - JUN 2024

Data Analyst Intern

LearnTricks Edutech

Learntricks Edutech provides industry-aligned training, internships, and mentorship in coding, data science, and software development.

  • Analyzed a complex festive sale dataset and designed a dashboard, identifying key patterns and trends, resulting in a 25% enhancement in actionable insights.
  • Resolved data quality issues, leading to an 18% improvement in accuracy by fixing missing values and outliers.

DEC 2023 - MAR 2024

Research Intern

Indian Space Research Organization (ISRO)

ISRO pioneers space exploration and innovation, transforming India into a global leader in satellite technology, planetary missions, and scientific advancements for the benefit of humanity.

  • Compiled and presented findings from 7 in-depth studies on Transformer applications in image enhancement, insights led to refining existing processes and increased project efficiency by 35%.
  • Integrated new algorithms into existing codebase of ‘DDT – Dual-branch De-formable Transformer’, optimizing performance, resulting in faster model training times of up to one hour per iteration without compromising accuracy and attaining an SSIM(Structural Similarity Index Measure) of 0.7 in less than 4 months.



Education


2024 - PRESENT

Master of Computer Science

Illinois Institute of Technology

GPA: 4/4

2020-2024

Bachelor of Computer Engineering

Dharmsinh Desai University

GPA: 4/4

Projects

Projects

Below are my projects.

OMOPify

Implemented data transformation pipeline to convert FHIR and Synthea datasets into the OMOP Common Data Model, enabling standardized clinical research and interoperability. Integrated PostgreSQL with OHDSI ATLAS/WebAPI using R, supporting cohort analysis and real-world evidence generation.

Google Cloud Data Pipeline

This pipeline automates the process of uploading files to Google Cloud Storage (GCS) and loading the data into Google BigQuery

Stock Prediction - Time Series Forecasting

Stock Vision is a machine learning-powered web application developed in Python that predicts stock prices using LSTM model


Power BI Sales dashboard Project

Designed a power bi dashboard that visualizes key performance metrics for multiple plants. It is built using Python, Streamlit, Pandas, and Plotly. The dashboard provides insights into plant performance, including production efficiency, downtime, and other critical metrics

Transportation Data Science Project

Analyzed transportation safety data from the Chicago Data Portal using Python to support public transit risk assessment, and developed impactful visualizations in Power BI for data-driven decision-making

Code Mail Generation Tool

Built a Python-based tool using Groq, Langchain, and Streamlit that scrapes job listings from a company’s careers page URL and generates personalized cold emails for outreach

More projects on Github

I love to solve real-world problems & uncover hidden data stories


GitHub

Contact

Contact Me

Below are the details to reach out to me!

Location

Chicago, IL

Contact Number

Available upon request

Download Resume

Resume Link