Monisha Govindaraj
About Monisha Govindaraj
Monisha Govindaraj is an Analyst at LatentView Analytics in Chennai, Tamil Nadu, India, where she has worked since 2021. She specializes in data visualization and applies statistical methods to address complex business challenges.
Work at LatentView Analytics
Monisha Govindaraj has been employed at LatentView Analytics as an Analyst since 2021. In this role, she applies her expertise in data analysis and visualization to address complex business challenges. Her work involves utilizing statistical methods to derive insights that support decision-making processes. Monisha previously interned at LatentView Analytics as a Data Science Intern in 2019, where she gained foundational experience in data science and analytics.
Previous Experience at EY
Before joining LatentView Analytics as an Analyst, Monisha worked at EY as a Data Analyst for a period of six months from 2020 to 2021. During her tenure at EY, she contributed to data analysis projects that required a strong understanding of data management and analytical techniques. This experience further developed her skills in handling large datasets and extracting meaningful insights.
Education and Expertise
Monisha Govindaraj earned a Master of Science degree in Data Science from Coimbatore Institute of Technology, where she studied from 2016 to 2021. Her academic background provided her with a solid foundation in statistical methods and data analysis. She specializes in data visualization techniques, which enhance the clarity and impact of analytical insights. Monisha is committed to continuous learning, particularly in the field of machine learning, to keep pace with industry advancements.
Background in Data Science
Monisha has a strong background in data science, having engaged in various roles that emphasize analytical skills and statistical applications. Her interest lies in applying statistical methods to solve complex business problems, showcasing her ability to translate data into actionable strategies. This focus on practical application of data science principles has been a consistent theme throughout her career.