About

Sharath Dharmaji is a highly skilled Data Scientist currently working at Amazon, where he is responsible for building machine learning models for prime video playback optimization. With over 4 years of relevant experience, Sharath has a passion for data science growth, particularly in the marketing, product and software space. Sharath's proficiency in Machine Learning, Deep Learning, Advanced Statistics, A/B Testing, and Product Analytics make him a valuable asset to any team. He is also skilled in programming languages such as Python (NumPy, SciPy, Pandas, etc) and C++, as well as ETL tools like PySpark, SQLAlchemy, Hive, Presto, and SQL. Additionally, he has experience with analytics tools such as Scikit-Learn and MATLAB, and visualization tools such as Seaborn, Plotly, and Matplotlib. Sharath is familiar with a range of service/tools including AWS, Linux, Vim, Jenkins, Snowflake, Databricks, and Legoland. He is also fluent in English, Hindi, Telugu, and Tamil. Prior to working at Amazon, Sharath held positions as a Senior Data Scientist at Capital One, where he worked on building machine learning valuations models monitoring key parameters such as charge-off rate and outstanding balances. He also served as a Graduate Teaching Assistant at the University of California, San Diego - Jacobs School of Engineering, where he taught DSC 100 (Intro to Data Management). Sharath holds a Master's degree in Computer Engineering (Machine Learning and Data Science) from the University of California, San Diego - Jacobs School of Engineering, as well as a Bachelor’s Degree in Engineering from Birla Institute of Technology and Science, Pilani, and a High School degree from Modern School, Barakhamba Road. Sharath's tech stack includes Data Scientist, Research Scientist, ML, SQL, AWS, Seaborn, Databricks, Snowflake, Deep Learning, Scikit, test, Python, Pandas, Jenkins, ETL, and Apache Hive. His expertise and experience make him a valuable addition to any team seeking to leverage data science to drive growth and innovation.