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:
π Location: Jersey City, NJ πΊπΈ
π§ Email: Gmail
π LinkedIn: LinkedIn Profile
I am a highly motivated data scientist on a quest for challenging opportunities in the exciting field of data science.
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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
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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
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Data Analyst (February 2023 β Present)
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Analytics Intern (May 2022 β 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
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Data Science Intern (January 2021 β 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
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Data Science Intern (May 2020 β 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 β May 2022)
- Implemented a context-based error correction algorithm
- Achieved 97% accuracy using BERT Hugging Face Neuspell
Ted Talk Recommender System (September 2021 β 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 β 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! ππππ§