Manas Rathi
About Manas Rathi
Manas Rathi is a Data Analyst at SagasIT Analytics Pvt. Ltd. in Bengaluru, India, skilled in Unix scripting and proficient in big data processing using PySpark and Spark SQL.
Work at SagasIT Analytics
Manas Rathi currently serves as a Data Analyst at SagasIT Analytics Pvt. Ltd., a position he has held since 2023. Based in Bengaluru, Karnataka, India, he focuses on data analysis and processing, utilizing his skills in various data technologies. His role involves applying statistical methods for predictive analysis and hypothesis testing.
Education and Expertise
Manas Rathi has a strong educational background in data science and engineering. He completed a Postgraduate Program at the Great Lakes Institute of Management from 2022 to 2023. Additionally, he is pursuing a Postgraduation in Software Engineering for Data Science at the International Institute of Information Technology, which he is expected to complete in 2024. His expertise includes proficiency in PySpark, Spark SQL, and machine learning techniques.
Background in Data Analysis
Prior to his current role, Manas Rathi gained experience as a Data Scientist at TechnoBind Solutions Pvt Ltd for two months in 2023. He also worked as a Business Analyst at Epicurean Foods for four months in 2022 and as a Finance Specialist at HDFC Bank for one month in 2021. This diverse experience has contributed to his analytical skills and understanding of data-driven decision-making.
Technical Skills and Tools
Manas Rathi is skilled in various technical tools and programming languages essential for data analysis. He is proficient in using Unix (Bash) for scripting tasks and has experience with Tableau for data reporting and visualization. His capabilities extend to performing predictive analysis and utilizing both supervised and unsupervised machine learning techniques.
Academic Qualifications
Manas Rathi holds a Bachelor of Business Administration (BBA) degree from Christ University, Bangalore, which he completed from 2019 to 2022. His academic journey has equipped him with a solid foundation in finance and business principles, complementing his technical skills in data science.