My Skills

Python

JavaScript

Angular

HTML

CSS

LLM | RAG

Data Interpretation

Statistics

NumPy

Pandas

Matplotlib

Keras

Seaborn

Tensorflow

SckitLearn

Tableau

RDBMS | MySQL

About Me

Hi, I’m Nancy Bhargava! I’m a proactive, self-motivated, and ambitious individual with a strong passion for innovation, technology, and the field of Data Science

I enjoy leveraging my coding skills to uncover valuable insights from complex data and build frameworks for pattern recognition. I believe transforming raw data into actionable findings is essential for a company to excel, innovate, and adapt in a dynamic environment.

Beyond my technical pursuits, I enjoy reading and watching movies. I enjoy connecting with new people as it offers diverse perspectives. I’m also an avid sports fan and relish playing badminton and table tennis..

Education

Master's in Computer Science

August 2023 - May 2025

University Of Illinois, Springfield

CourseWork : Data Visualization | Machine learning & Statistics | Database Management

Bachelor's in Information Technology

July 2018 - November 2022

Manipal University Jaipur

CourseWork : Data Structures and Algorithms | RDBMS | Data Science | OS

Experience

Department Of Human Services

Database Developer

Sept 2024 - May 2025

As a Database Intern at the Illinois Department of Human Services, I utilized Python and SQL Server Management Studio to apply statistical methods for generating PMP reports for prescribers and pharmacies. I verified new user account data daily and tested new website features. Additionally, I collaborated with data engineers to preprocess and structure data for machine learning models, ensuring data readiness and integrity for analysis.

University Of Illinois

Graduate Research Assistant

Nov 2023 - May 2024

I developed a hybrid recommendation system combining collaborative and content-based filtering, improving prediction accuracy by 5%. Leveraging LLMs and OpenAI APIs, I enriched dataset quality with detailed show descriptions. Additionally, I built a Streamlit site for real-time data uploads, audience insights, and ticket recommendations, reducing processing time by 5% and enhancing decision-making.

Comviva

Product Developer

Jan 2022 - April 2023

As a Product Data Analyst, I collaborated with the development team to design key web pages for a media streaming platform using Angular, JavaScript, and HTML/CSS, enhancing data collection for user behavior tracking during the FIFA 2022 World Cup. I analyzed over 10 million streaming records using Google Analytics, SQL, and Python to identify key trends like peak traffic surges and audience drop-offs. My insights helped optimize content delivery strategies, increasing viewer engagement by 10%, improving streaming stability, and reducing latency by 20% during high-traffic events.

TAM Enterprises

Product Data Analyst

Aug 2020 - Aug 2021

I collected and managed data for over 100 students, improving accuracy by 10% through advanced data cleaning, feature engineering, and resolving inconsistencies. By conducting a detailed analysis of student performance trends, I developed reports and dashboards that provided actionable insights. These insights contributed to enhancing career mentoring, optimizing free learning programs, and improving placement support, ultimately driving better student outcomes.

Projects

King County Housing Market Analysis Dashboard

I built an interactive Tableau dashboard to analyze King County’s housing market, showcasing pricing trends, property features, and geographical distributions to provide insights for homebuyers, real estate professionals, and analysts.

Predicting Real-Fake Job Listings

Conducted data preprocessing and feature engineering on the Kaggle Dataset. Utilized regression techniques, decision trees, and SVM, achieving 93% accuracy with the Deep Learning model- ANN. Validated and optimized results via cross-validation and hyperparameter tuning.

NYC Taxi Data Project: MS Fabric

I developed an end-to-end data analytics solution using Microsoft Fabric to analyze New York City's 2024 Yellow Taxi trip records. The project encompassed data engineering, warehousing, and visualization, enabling comprehensive insights into taxi operations.

Green Doctor: Plant Disease detecting App

Developed a user-friendly mobile app for 500 farmers to identify crop diseases using deep learning techniques, achieving 88.5% accuracy with ResNet. The app, deployed via Android Studio, ensures accessible and cost-effective disease treatment solutions.

Apparel Recommendation System

Created an apparel recommendation system using collaborative and content-based filtering to provide personalized clothing suggestions. Implemented with k-nearest neighbors and matrix factorization, the system enhanced user engagement and sales by delivering tailored recommendations.

Skin Lesions Classification Prediction

Conducted image analysis and performed Exploratory Data Analysis and image pre-processing. Utilized Convolutional Neural Networks for initial predictions and achieved superior results through transfer learning techniques, with the ResNet model delivering the highest accuracy at 77%.

Testimonials

Osheen Jain

I have worked with Nancy for almost 2 years. Nancy joined as a fresher in my team. I found her to be inquisitive , hard working and enthusiastic about work. With this attitude, she started to contribute very early in our projects. I remember how quickly she got hands-on with Cypress and helped us to automate our application and increase its code coverage by 85%. What I really enjoy about Nancy is her positive mindset and desire to learn and grow. I would highly recommend her as a developer for any organization.

Koduri Chandan

I have worked with Nancy on several deep learning , machine learning and mobile application development projects. she has always been a key asset to the project. Especially Nancy's contributions to our team in hackathon were exceptional, particularly in the domain of deep learning and its seamless integration with mobile applications. Her mastery of these skills played a pivotal role in our success during the hackathon by creating green doctor application which helped us making it to top 10 teams all over India . Not only did she showcase a profound understanding of the intricacies of deep learning, but she also demonstrated a remarkable ability to apply this knowledge practically in the development of a mobile application.

Pranav Ganjoo

I highly recommend Nancy Bhargava as an Angular developer. She possesses exceptional technical skills, consistently delivering high-quality code. Her kindness and willingness to help others make her a valuable team member. Nancy's is upfront in taking responsibility, displaying a strong sense of accountability. She is a perfectionist, ensuring that every aspect of her work meets the highest standards. Nancy is obedient to project requirements and guidelines, making her a reliable team player. She not only excels in technical aspects but also fosters a positive and collaborative work environment. She would be a great asset to any team seeking a dedicated, skilled, and personable Angular developer.

I'm Nancy Bhargava

MS CS Student @ University of Illinois Springfield

Data Enthusiast | Problem Solver