Hemanth Kumar Gadi
About Hemanth Kumar Gadi
Hemanth Kumar Gadi is a Senior Data Analyst at The Smart Cube, specializing in the CPG domain with a focus on Net Revenue Management and Customer Segmentation. He holds an M.Tech in Computer Science and has experience in various roles, including Data Scientist and Junior Research Fellow, contributing to machine learning and data analytics projects.
Current Role at The Smart Cube
Hemanth Kumar Gadi serves as a Senior Data Analyst at The Smart Cube, a position he has held since 2021. In this role, he focuses on developing and delivering various modules within the Consumer Packaged Goods (CPG) domain. His work emphasizes key areas such as Net Revenue Management, Customer Segmentation, and Marketing Mix Modeling (MMM). His contributions are integral to the analytical capabilities of the organization.
Education and Expertise
Hemanth completed his Master of Technology (MTech) in Computer Science at Dhanekula Institute of Engineering & Technology from 2015 to 2017. He also holds an Advanced Diploma in Big Data Analytics from NIELIT Calicut, which he achieved in 2017. His educational background provides a strong foundation for his expertise in data analysis and machine learning.
Professional Background
Hemanth has a diverse professional background in data analysis and programming. He began his career as a Computer Programmer at Nimra College of Engineering & Technology from 2013 to 2015. He later worked as a Teaching Assistant at Dhanekula Institute of Engineering & Technology for eight months in 2015-2016. He also served as a Junior Research Fellow at the Indian Institute of Information Technology from 2020 to 2021 and as a Data Scientist at Trident Information Systems Pvt. Ltd. from 2019 to 2020.
Projects and Initiatives
Throughout his career, Hemanth has participated in various projects that highlight his skills in data science and machine learning. He participated in the HackerEarth Machine Learning challenge, focusing on calculating the severity of airplane accidents. He has implemented hyper-parameter tuning and model selection to improve machine learning model performance and worked on projects involving Twitter sentiment analysis and image auto-tagging using Convolutional Neural Networks (CNN).
Technical Skills
Hemanth possesses strong technical skills in data analysis and programming. He has experience with machine learning algorithms, particularly in sentiment analysis and model optimization. He has utilized Beautiful Soup for data scraping in Python projects, showcasing his ability to handle data extraction and preprocessing tasks effectively.