About

Aadithya Viswanath Ramasubramaniam is a highly skilled Data Scientist with a passion for mining, refining, and modeling data to deploy analytical solutions that have a significant business impact. With almost five years of relevant experience, Aadithya has developed a strong proficiency in a wide range of tools and technologies, including Python (numpy, pandas, sklearn, SciPy, TensorFlow), R (ggplot2, dplyr, data.table, caret, tidyverse), Big Data (GCP, AWS S3 Boto, Hadoop, PySpark), SQL (Postgres, MySQL, BigQuery), MATLAB, MINITAB, QlikSense, and Tableau. Currently working as a Data Scientist III at Teladoc Health, Aadithya has previously held the position of Data Scientist II at the same company. Before joining Teladoc Health, he worked as a Data Scientist at Cypress Semiconductor Corporation, where he designed and implemented quantitative models using R to optimize the corporate inventory portfolio, reducing stock out cases by 5% and freeing up ~$30 million of cash annually. Aadithya also developed and optimized short-term demand forecasting models for multiple business lines and developed a recommendation system using cosine similarity to identify product cross-sell opportunities between Cypress and Infineon products, leading to initial potential revenue synergies of $25 million. Aadithya holds a Master of Science (M.S.) in Operations Research from Northeastern University and a Bachelor of Technology (B.Tech.) in Mechanical Engineering from Shiv Nadar University. He is also proficient in various tech stacks, including Data Scientist, Research Scientist, SQL, AWS, Scikit, Big Data, Python, TensorFlow, Pandas, MySQL, Hadoop, Postgres, GCP, and Recommendation system. Overall, Aadithya is a highly skilled and experienced Data Scientist who is passionate about using his skills to develop analytical solutions that have a significant business impact. With his expertise in a wide range of tools and technologies, he is a valuable asset to any organization looking to leverage data to drive business growth.