Data Scientist and Data Analyst with hands-on experience developing and deploying scalable LLM-based solutions & ML models in production environments. Currently working at Kounsel on medical AI applications.
Hello! I am a recent graduate from Vellore Institute of Technology (VIT) with a strong foundation in data science, machine learning, and statistical analysis.
My academic journey has equipped me with both theoretical knowledge and practical experience in extracting meaningful insights from complex datasets. Throughout my studies, I have developed proficiency in Python, R, SQL, and various machine learning frameworks. I am particularly interested in predictive modeling, natural language processing, and computer vision applications. My goal is to leverage data-driven approaches to solve challenging business problems and contribute to organizational success.
I am actively seeking opportunities in data science roles where I can apply my analytical skills, continue learning cutting-edge technologies, and work with diverse teams to deliver impactful solutions.
Bachelor of Technology in Computer Science & Engineering
Specialising in Artificial Intelligence and Machine Learning
UG Degree: 83.5%
Specialized in Data Science and Machine Learning with focus on statistical analysis and LLM. Relevant coursework included Statistics, Data Structures, Algorithms, Database Management, Machine Learning, Deep Learning, and Big Data Analytics.
Here are some of my key projects that demonstrate my data science, data analytics and machine learning capabilities. Each project includes live demos and source code for your review.
Large Language Model for generating medical-compliant recipes based on dietary restrictions and health conditions. Currently in development at Kounsel.
ML model predicting customer churn with 92% accuracy using ensemble methods, feature engineering, and hyperparameter optimization.
Real-time question-answering chatbot using GPT model with web scraping, preprocessing, and Streamlit deployment.
Deep learning-based lane detection for autonomous vehicles using computer vision and CNN architectures for real-time video processing.
My professional journey and key accomplishments in data science and machine learning
Developing Large Language Models focused on medical benefits and recipe generation. Utilizing GCP and specialized NLP libraries to scale LLM development processes.
Developed AudioShield project for deepfake audio detection using advanced machine learning techniques.
Completed industry-recognized certifications to enhance technical skills and stay updated with latest trends.
Computer Science Engineering with specialization in Artificial Intelligence and Machine Learning.
Participated in various data science hackathons and coding competitions to enhance practical skills.
Industry-recognized certifications that validate my expertise in data science, machine learning, and programming
Comprehensive program covering Python, SQL, data visualization, machine learning, and data analysis using real-world datasets and industry tools.
Advanced Python programming for automation, including Git, debugging, configuration management, and cloud deployment.
Hands-on machine learning course covering supervised and unsupervised learning, model evaluation, and practical ML implementation.
Comprehensive SQL training covering database queries, joins, aggregations, and advanced SQL techniques for data analysis.
Currently pursuing AWS cloud fundamentals certification to enhance cloud computing and deployment skills.
Committed to continuous professional development through advanced courses in AI/ML, cloud technologies, and emerging data science trends.
Ready to bring data-driven insights to your team? I'm actively seeking opportunities to apply my expertise in LLM development, machine learning, data science and data analytics. Let's discuss how we can create impactful solutions together.