Srivathsan Muthukrishnan
About Srivathsan Muthukrishnan
Srivathsan Muthukrishnan is a Data Analyst with experience at LatentView Analytics since 2020 and a background in Electrical and Electronics Engineering from St. Joseph's College of Engineering. He has completed internships at the Airport Authority of India and Bharat Sanchar Nigam Limited, where he applied various analytical techniques to improve business outcomes.
Work at LatentView Analytics
Currently, Srivathsan Muthukrishnan serves as a Data Analyst at LatentView Analytics, a position he has held since 2020. In this role, he has engaged in various data-driven projects, including performing predictive analysis on inventory to facilitate proactive restocking during high-demand periods such as Black Friday and Christmas sales. He has also collaborated with the Strategy team, utilizing K-Means Clustering Analysis to assist in downsizing and optimizing merchandise assortment.
Education and Expertise
Srivathsan Muthukrishnan earned a Bachelor's degree in Electrical and Electronics Engineering from St. Joseph's College of Engineering, completing his studies from 2016 to 2020. His educational background provides a solid foundation in analytical and technical skills, which he applies in his current role as a Data Analyst. His expertise includes predictive analysis, regression modeling, and clustering techniques.
Background
Before his current role, Srivathsan Muthukrishnan gained practical experience through internships. He worked as a Summer Intern at the Airport Authority of India in 2019 for one month in the Greater Chennai Area. Prior to that, he interned at Bharat Sanchar Nigam Limited in 2018, also for one month in the Greater Chennai Area. These internships provided him with valuable insights into the application of data analysis in real-world scenarios.
Achievements
During his career, Srivathsan Muthukrishnan has developed significant analytical models. He built a forecasting model for the commodity index of various raw materials impacting the industry. He also created a regression model using Linear and Random Forest techniques to evaluate the effect of employee satisfaction on company revenue. Additionally, he conducted traffic monitoring analysis to assess the conversion rate of customers purchasing products in stores.