I am currently working as a Data Scientist at JP Morgan, where I build scalable machine learning solutions and data-driven systems to solve complex business problems. My work focuses on advanced analytics, model optimization, and deploying production-ready ML applications that deliver measurable impact.

In addition to my industry role, I serve as an AI Trainer at Meritshot, mentoring aspiring professionals in Machine Learning, AI systems, NLP, and real-world project implementation. I am passionate about simplifying complex AI concepts and enabling others to build practical, industry-ready solutions.

I specialize in:

• 💼 Data Science & Business Analytics
• 📊 Data Visualization & Insight Generation
• 🤖 Machine Learning, NLP & LLM Applications
• ☁️ Cloud, MLOps & Scalable AI Deployment
• 🚀 Intelligent Automation & AI System Design

I enjoy transforming raw data into strategic insights and building intelligent systems that create real-world value.

• Prompt Engineering & AI Model Testing

  • Worked on AI image-generation prompts
  • Built structured prompts for multiple use cases
  • Contributed in optimizing AI outputs & evaluation

• Open Source Contributions

  • Actively contributing to ML & Full-Stack projects
  • Experience handling PRs, debugging & optimization

• 🚗 Distracted Driver Detection (Computer Vision | OpenCV | CNN)
  Built a real-time driver monitoring system using OpenCV & Deep Learning to detect distracted driving behaviors. Implemented CNN-based image classification to improve road safety applications.

• 🎨 Image Colorization using OpenCV (Deep Learning)
  Developed an AI-based system to convert black & white images into colored images using OpenCV and pre-trained deep learning models.

• 🧠 Brain Tumor Detection – End-to-End ML Pipeline
  Designed a medical image classification system using CNN to detect brain tumors from MRI scans with preprocessing, training, evaluation & deployment pipeline.

• ❤️ Heart Disease Prediction (ML Project)
  Built classification models to predict heart disease risk using structured healthcare datasets with feature engineering and performance optimization.

• 📰 Fake News Detection (NLP | ML)
  Developed a text classification model to identify fake news articles using NLP techniques, TF-IDF vectorization, and supervised learning algorithms.

• 🫀 ECG Arrhythmia Classification
  Built a machine learning system to classify ECG signals for arrhythmia detection using signal preprocessing and classification models.

• 📊 HR Analytics Dashboard
  Created interactive dashboards for workforce analytics using Python & BI tools for business decision support.

• 🏥 Apollo Healthcare Dashboard
  Designed healthcare KPI dashboards to monitor operational performance and improve insights using data visualization techniques.

• 🤖 AI Room Booking Chatbot (IBM Watson Integration)
  Developed an intelligent chatbot for automated room booking using NLP and conversational AI frameworks.

• 🩺 Diabetes Prediction – End-to-End ML Project
  Implemented classification models with data preprocessing, validation, and deployment-ready structure.

If you like my projects, give them ⭐ and let's build something amazing together 🚀