shubhambhatia0321@gmail.com ⋄ linkedin.com ⋄ Github.com

EDUCATION

B.Tech, IT	Inderprastha Engineering College (2020-2024)
XII, CBSE	SSD Saraswati Bal mandir (2020)
X, CBSE	SSD Saraswati Bal mandir (2018)

SKILLS

Languages: Python Programming, C++, MySQL.

Developers Tools: VS Code, Git, Google Colab, Jupyter Notebook.

Technologies/Framework: Machine learning libraries, AWS (EC2, S3, Lambda, Lex), QuickSight, ETL, Data Warehousing, Pandas, NumPy, BeautifulSoup4, Docker, Streamlit.

EXTRA-CURRICULAR & CERTIFICATION

Cognizant Artificial Intelligence Job Simulation on Forage

• Conducted exploratory data analysis (EDA) for Gala Groceries using Python and Google Colab.
• Developed Python module for training machine learning models and outputting performance metrics.
• Utilized skills: Data Analysis, Data Modeling, Data Visualization, Machine Learning, Python.

J.P. Morgan Software Engineering Virtual Experience on Forage

• Set up a local dev environment by downloading the necessary files, tools, and dependencies.
• Utilized JPMorgan Chase’s open-source library Perspective to generate a live graph that displays a data feed in a clear and visually appealing way for traders to monitor
• Utilized skills: Basic Programming, Contributing to The Open-Source Community, Financial Analysis, Web Applications, Python, Technical Communication, Git, Typescript.

PROJECTS

Twitter Sentiment Analysis Developed a deep learning model that trains on 1.6 million tweets for sentiment analysis to classify any new tweet as either being positive or negative. (Try it here)

• Achieved 78.2% accuracy in sentiment analysis using NLP techniques.
• Led implementation of NLP algorithms, improving sentiment analysis accuracy.
• Optimized model performance with data preprocessing, stemming, feature extraction.
• Utilized Kaggle API, manipulated Sentiment140 dataset for analysis.

Conversational-Chatbot-Groq Developed Groq API Chat Assistant to enhance Customer Support and Information Retrieval by using Large Language Models (LLMs) and NLP. (Try it here)

• Utilized LangChain API to build Streamlit applications that enhance user engagement and accessibility.
• Integrated the Groq API seamlessly for contextually relevant responses through NLP.
• Managed session state to autonomously save and display chat history to enhance user interaction.
• Improved user satisfaction and experience by implementing a robust conversational interface.

Credit Scoring Model Developed Logistic Regression model for credit scoring, enabling data-driven lending strategies for banks. (Try it here)

• Achieved 83% accuracy in developing a machine learning model using Logistic Regression to predict loan default risk.
• Led implementation of decile methodology to optimize lending strategies, improving profitability and market reach.
• Utilized Python and libraries for data processing, model training, and evaluation.
• Integrated reusable project structure for scalability and knowledge transfer, enhancing code maintainability.

ONLINE COURSES

• Problem-Solving by CodeChef: Ready to apply Python enriched skill set to real-world challenges.
• Mode SQL: Exploration of all the fundamental topics such as data manipulation, querying, and database management.

RELEVANT COURSES

Data Structures & Algorithms - OOPS - Operating System - DBMS - Computer Networks - DAA - ML

ACHIEVEMENTS

• 5-star Gold Badge in SQL on HackerRank.
• 4-star Silver Badge in 30 days of code on HackerRank.
• 3-star Silver Badge in C++ on HackerRank.
• Earned Microsoft Azure AI Fundamentals: Generative AI Trophy.