Hemanth Kumar K.
About Hemanth Kumar K.
Hemanth Kumar K. is a Lead Data Scientist at InfoVision Inc. in Richardson, Texas, with expertise in advanced data techniques and experience in big data technologies.
Work at InfoVision
Hemanth Kumar K. has been serving as the Lead Data Scientist at InfoVision Inc. since 2019. He is based in Richardson, Texas, where he has contributed to various data science initiatives for five years. His role involves leveraging advanced data analytics and machine learning techniques to drive insights and support decision-making processes within the organization.
Education and Expertise
Hemanth Kumar K. holds a Bachelor of Technology in Electrical, Electronics and Communications Engineering from Kakatiya Institute of Technology & Science, which he completed from 2012 to 2016. He also earned a Master of Science in Information Technology from the University of North Carolina at Charlotte between 2017 and 2018. Additionally, he completed the Technology Entrepreneurship Programme at the Indian School of Business from 2014 to 2016. His expertise includes advanced data and knowledge discovery techniques, as well as proficiency in big data technologies.
Background
Prior to his current position at InfoVision, Hemanth Kumar K. worked as a Machine Learning Research Assistant at the University of North Carolina at Charlotte for four months in 2018. He also served as a Data Scientist at Centene Corporation for seven months, where he applied data science methodologies. Earlier in his career, he gained experience as a Data Analyst at Tata Consultancy Services and as an Electrical Engineering Intern at NSICLTD.
Technical Skills
Hemanth Kumar K. possesses strong skills in both supervised and unsupervised machine learning algorithms. He utilizes various Python libraries for data cleaning and exploration, including Numpy, Pandas, Scikit-learn, Matplotlib, and Seaborn. His technical expertise extends to statistical data analysis, time series analysis, survival analysis, dimension reduction, and feature engineering. He has experience with big data technologies such as HDFS, Map Reduce, and Spark.