As a Data Scientist, I actively explore and apply cutting-edge techniques in Generative AI, including Large Language Models, Transformers, and semantic search methods. I work in techniques such as Parametric Efficient Fine Tuning (PEFT), prompt tuning, Reinforcement Learning from human feedback (RLHF), and constitutional AI. I find particular interest in retraining and fine-tuning these extensive models for specific purposes.
Recently, I completed an intensive Technical Team Leadership program at the University of Oxford, augmenting my skills in leadership, people management, and recognizing individual uniqueness.
My experience spans creating machine learning models for skill-job compatibility and pricing, developing state-of-the-art product recommendation systems using Deep Neural Networks, implementing semantic search capabilities, conducting LSTM-based sentiment analysis, and analyzing time series data. Proficient in the entire data science lifecycle, I excel in Feature Engineering, Data Integration, Model Building, Hyperparameter Tuning, ensuring data security, creating interactive dashboards, A/B Testing, and handling Big Data Processing.
I hold a Master's degree in Artificial Intelligence from the University of Exeter. My educational background provides me with a solid foundation in mathematics and programming. I have extensive experience with a wide range of tools and languages, including SQL, Python, Redshift, SparkSQL, Pentaho, Looker, Docker, Tableau, PowerBI, as well as various cloud service providers such as AWS, GCP, and Snowflake.
I'm passionate about knowledge sharing and mentoring emerging data scientists and analysts. I actively lead sessions on statistics, analytics, and Python for machine learning. My dedication to ongoing learning is underscored by my pursuit of certifications, including those in analytics and deep learning.
My journey as a data scientist has been defined by a thirst for innovation and a dedication to transforming data into actionable insights. I look forward to new challenges and opportunities in this ever-evolving field.
Publications: "Remote Sensing Single Image Super-Resolution Benchmarking with Transfer Learning Algorithms," 2023, Publisher: IEEE, Co-Author: Saptarshi Das.
