Transforming data into actionable insights with cutting-edge machine learning, deep learning, MLOps solutions, Data Engineering, LLMs and Generative AI. Passionate about driving AI innovation and solving complex business challenges.
Passionate about turning data into insights
I'm a dedicated Data Scientist with 1.5+ years of hands-on experience in developing and deploying AI solutions. My expertise spans across predictive modeling, natural language processing, deep learning, MLOps, Data Engineering, LLMs and Generative AI.
Extracting meaningful insights from complex datasets
Building intelligent systems for real-world problems
Scalable solutions on AWS, GCP platforms
Technologies and tools I work with
Showcasing my data science and ML expertise
AI-powered medical chatbot using Retrieval-Augmented Generation and conversational memory. Built with Flask, LangChain, and Google's Gemini 1.5 Flash.
Machine learning model predicting manufacturing efficiency with 92% accuracy. Deployed using Docker, Kubernetes, and Jenkins CI/CD pipeline.
End-to-end data engineering project for Uber trip data using GCP, Mage AI, and interactive dashboards with Looker Studio.
MLOps pipeline for predicting food delivery times with automated feature engineering, experiment tracking, and AWS deployment.
Predicts hotel reservation cancellations using LightGBM, MySQL, MLflow, Flask, Docker, and Jenkins for production environments.
Complete MLOps pipeline for predicting rainfall using historical weather data with XGBoost, Flask, GitLab CI/CD, and Render deployment.
My professional journey in data science
Developed and deployed end-to-end machine learning models, enhancing operational efficiency for business applications. Led deep learning and NLP projects, including text classification and chatbot development, improving customer insights by 15%. Designed data pipelines for seamless preprocessing and feature engineering, reducing processing time by 25%.
Developed and implemented machine learning models to analyze and extract insights from complex datasets. Collaborated with cross-functional teams to design and execute experiments, leveraging advanced statistical methods.
Focused on machine learning fundamentals, developed customer satisfaction prediction models, and implemented reinforcement learning agents. Used NLP techniques for sentiment analysis and received positive feedback from industry experts.
Mastered machine learning model deployment and handling large datasets. Focused on efficient preprocessing, storage, and exploratory data analysis. Explored neural network architectures for image classification, NLP, and time series forecasting.
Developed a sophisticated machine learning model for fake news prediction using advanced NLP techniques. Created a breast cancer classification model for early detection, employing rigorous data preprocessing and feature selection.
Ready to discuss your next data science project