Data Scientist

Technical Skills

Programming Languages: Python, SQL

Libraries/Frameworks: NumPy, Pandas, Scikit-learn, Keras, Tensorflow, Langchain

Education

• Bachelor of Technology, Civil Engineering

  Zakir Husain College of Engineering and Technology, Aligarh Muslim University (2020-24)

Work Experience

Machine Learning Intern @ Feynn Labs (_June 2024 - August 2024)

• Developed AI product prototype.
• Conducted market segmentation for the company’s projects using Machine Learning.
• Developed business and financial modeling for an AI-based product.

Technical Team Member @ IEEE Computer Society (ZHCET) (_November 2023 - June 2024)

• Contributed to various Machine Learning projects for the organization.
• Conducted research and literature reviews in deep learning, computer vision, and natural language processing.
• Assisted in organizing workshops, seminars, and events related to computer science and technology

Projects

Custom GPT Chatbot

GitHub

• User-friendly chat interface with concise responses for general queries and detailed explanations for programming-related questions
• Utilized the GroqCloud API to integrate the Flask web app to the llama-3.3-70b-versatile LLM in backend.

Pneumonia Detection Using Deep Learning

GitHub

• Web application designed to detect pneumonia from chest X-ray images.
• DL model utilizes a VGG19 CNN pretrained on ImageNet, fine-tuned for pneumonia detection

Resume Screener App

GitHub

• Streamlit-based NLP web application that predicts the top 3 job categories of a resume along with confidence scores.
• The model is trained on SVC algorithm and uses Regular Expressions for data cleaning and TfidfVectorizer for text vectorization.

Myntra Review Scraper

GitHub

• This project is a web application that allows users to scrape product reviews from Myntra (a popular Indian e-commerce website) based on a specified query. Users can enter a product query and specify the number of products they want to search for.
• The app then scrapes reviews for these products, displays them in a table, and provides an option to save the data to MongoDB. The results are also available as a downloadable spreadsheet.

Sensor Fault Detection ML Project

GitHub

• This project is a machine learning-based application for detecting faults in sensor data. It uses Flask as a web framework, Docker for containerization, GitHub Actions for CI/CD, and MongoDB for data storage.
• The application can be deployed locally, on AWS EC2, or through Amazon ECR/ECS using an automated pipeline.

Text Paraphraser using Pegasus

GitHub

• The NLP web application utilizes Google’s Pegasus LLM for text paraphrasing using the Hugging Face Transformers library in Python
• Users can input text through the web interface and receive multiple paraphrased outputs generated by the Pegasus model.

Mechano-Durability Analysis of Waste Material-Enhanced Concrete: An ML Approach

• Studied the mechanical and durability characteristics of the concrete using different industrial waste materials such as fly ash, iron slag, GGBS (Ground Granulated Blast furnace Slag), and jarosite.
• Utilized various ML algorithms to predict the mechanical and durability properties, bridging the knowledge gap where their application has been limited in previous studies.
• Applied SHAP analysis to check the features on the predicted values.

Publications

• A Review Article: Use Of Sentiment Analysis In Social Media

  International Journal of Engineering Applied Sciences and Technology, 2022 Vol. 7, Issue 9, ISSN No. 2455-2143, · Jan 23, 2023 Publication link

• Donation Tracking System using Blockchain

  International Research Journal of Engineering and Technology (IRJET) · Jan 1, 2023 Publication link

Volunteering/Social Work

• Muskurahat Foundation

  Internship (August 2023 - September 2023)

• InAmigos Foundation

  Internship (June 2023 - July 2023)

• Team Everest NGO

  Internship (December 2021 - January 2022)