I architect transformative data solutions that fuse cutting-edge AI and machine learning with advanced analytics, precision-driven predictive models, and breakthrough innovations that empower strategic decision-making.
A passionate Data Scientist, Data Engineer, and AI Enthusiast specializing in machine learning, Generative AI, data pipelines, and analytics.
With extensive experience in data science and engineering, I specialize in designing and implementing robust machine learning models, generative AI solutions, and data pipelines that empower organizations to leverage their data assets effectively. My expertise spans advanced AI techniques, ETL processes, and data analysis, enabling me to transform complex data into dynamic insights, precision-driven predictions, and breakthrough innovations.
Building advanced machine learning and generative AI models using frameworks like PyTorch and TensorFlow for tasks ranging from classification and regression to creative content generation.
Designing efficient ETL pipelines using Kafka, Spark, and Airflow to transform raw data into valuable insights for both traditional analytics and AI-driven applications.
Working with databases like MongoDB, PostgreSQL, and Clickhouse to develop optimal storage solutions for high-volume and high-velocity data used in AI and analytics.
Leveraging cloud platforms like AWS and GCP to deploy scalable, cost-effective data and AI solutions that drive business innovation.
A comprehensive set of skills and technologies I've mastered throughout my journey as a Data Scientist and Data Engineer
A selection of data science and engineering projects that showcase my expertise in building scalable, efficient, and intelligent data solutions
Built a data pipeline processing 100,000+ records daily, utilizing Kafka for real-time streaming and Clickhouse for optimized storage.
Developed a scalable system to generate AI-driven blogs using AWS Bedrock and Lambda, reducing content creation time by 80%.
Enhanced health monitoring accuracy by 70% through advanced machine learning models for blood pressure prediction and ECG classification.
Developed and deployed real-time interactive dashboards for 2,500+ users, using Python and AWS, ensuring 99.9% uptime.
Built a complete MLOps pipeline with model tracking and versioning via MLflow and DVC, improving deployment efficiency by 40%.
Implemented A/B testing and statistical analysis to optimize prediction algorithms, improving model reliability by 30%.
A chronological overview of my professional journey and key contributions in the field of data engineering
Working as a Data Scientist implementing machine learning models, designing ETL pipelines, and developing real-time interactive dashboards.
Developed data processing pipelines and APIs for clickstream data collection while implementing cloud solutions.
Collaborated in a team environment to brainstorm and resolve website issues, enhancing user experience and reducing load times.
Have a project in mind or want to discuss potential opportunities? Feel free to reach out.
Feel free to reach out to me through any of the channels below. I'm always open to discussing new projects, opportunities, or partnerships.
Hubballi, Karnataka-580030