Welcome to my GitHub profile! I'm a passionate data scientist with a love for solving complex problems through data-driven insights. Here's a glimpse of who I am:

📍 Location: Jersey City, NJ 🇺🇸
📧 Email: Gmail
🌐 LinkedIn: LinkedIn Profile

I am a highly motivated data scientist on a quest for challenging opportunities in the exciting field of data science.

• Master of Science, Data Science

  • Stevens Institute of Technology, Hoboken, NJ
  • Graduated in December 2022
  • GPA: 3.87
  • Relevant Courses: Optimization Methods, Web Mining, Deep Learning, Applied Machine Learning, Statistical Methods, Time Series Analysis, Pattern Recognition & Classification, Graph Theory

• Bachelor of Technology, Electronics and Communication Engineering

  • Manipal Institute of Technology, Manipal, India
  • Graduated in July 2021
  • CGPA: 8.83
  • Relevant Courses: Computer Vision, Linux and Shell Scripting, SQL, and Database Management

• Programming Languages: Python, C++, SQL, HTML, CSS, JS, React, Django, R
• Data Modeling: Natural Language Processing, Machine Learning, Deep Learning
• Cloud Platforms: Microsoft Azure, Amazon Web Services, Docker
• Data Management & Visualization: Tableau, Business Intelligence
• Certifications: Azure AI Fundamentals, Azure Data Scientist Associate (in-progress)
• Courses: IBM Data Science Specialization, Full Stack Deep Learning by University of California, Berkeley
• Proven ability to work creatively and analytically in a problem-solving ecosystem
• Proven success in contributing to a team-oriented environment

• Data Analyst (February 2023 – Present)

• Analytics Intern (May 2022 – December 2022)

  • Improved approval rates without increasing risk
  • Reduced time-to-market for digital lending solutions
  • Implemented cloud-based solutions for financial institutions
  • Collaborated with teams and showcased projects to company leaders

• Data Science Intern (January 2021 – July 2021)

  • Automated case-intake for classifying Drug Safety Information
  • Utilized NLP techniques for high-accuracy Named Entity Recognition
  • Designed spam mail classifier with 99% accuracy
  • Contributed to a productive team environment with regular progress reporting

• Data Science Intern (May 2020 – August 2020)

  • Designed ML models for fraud detection in banking systems
  • Developed a user-friendly web app for AutoML and visualization
  • Created a credit score prediction model using WOE and IV techniques

Post-OCR Correction (January 2022 – May 2022)

• Implemented a context-based error correction algorithm
• Achieved 97% accuracy using BERT Hugging Face Neuspell

Ted Talk Recommender System (September 2021 – December 2021)

• Built a content-based recommender system for Ted Talks
• Integrated sentiment analysis and topic modeling for 83% accuracy

Smart Farming using Convolutional Neural Networks (March 2019 – October 2019)

• Developed a smart farming device with deep learning capabilities
• Achieved 96% accuracy in crop health monitoring
• Made technology accessible using affordable equipment

Feel free to connect with me on LinkedIn or reach out via email. Let's collaborate and turn data into valuable insights together! 😊📊📈🧠