Heramb Dharmadhikari
About Heramb Dharmadhikari
Heramb Dharmadhikari is the Associate Director of Data Science at Alkermes, with extensive experience in data science roles across various companies and a strong academic background in computer science and information systems.
Company
Heramb Dharmadhikari is currently employed at Alkermes, where he serves as the Associate Director of Data Science. Alkermes is known for its innovative work in the field of biopharmaceuticals, which aligns well with Dharmadhikari's robust background in data science and analytics.
Title
Heramb Dharmadhikari holds the position of Associate Director in Data Science at Alkermes. His responsibilities include leveraging advanced data science techniques to optimize business strategies and derive valuable insights from complex datasets.
Education and Expertise
Heramb Dharmadhikari has an extensive educational background in data science and computer science. He earned a Master of Science in Information Systems from Stevens Institute of Technology in 2021. Prior to that, he completed a Master of Science in Computer Science from the University of Mumbai in 2017 and a Bachelor of Science in Computer Science from the same institution in 2015. His expertise includes deep learning, ensemble modeling, statistical analysis, and proficiency in using Tableau for data visualization.
Professional Background
Heramb Dharmadhikari has held several significant roles in the data science field. Prior to his current role at Alkermes, he worked at Axtria - Ingenious Insights as a Project Lead/Lead Data Scientist in 2023. He also held the position of Senior Data Scientist at the same company from 2021 to 2023. Earlier in his career, he was a Data Scientist at Prudent Agency in Pune from 2018 to 2019 and at HERE Technologies in Mumbai from 2016 to 2018. His diverse experience spans multiple industries and locations, adding to his rich professional background.
Skills and Achievements in Data Science
Heramb Dharmadhikari is proficient in various data science methodologies, including deep learning, ensemble modeling, regression, classification, and statistical analysis. He has successfully conducted A/B testing to optimize business strategies and leveraged NLP techniques to uncover critical insights from textual data. His skill set also includes data manipulation and business analytics, making him well-equipped to solve real-world problems through data-driven approaches.