Aishwarya Menon
About Aishwarya Menon
Aishwarya Menon is a Data Analyst currently employed at Sterlite Technologies Limited in Pune, where she has worked since 2015. She previously served as a Corporate Actuarial Analyst at Swiss Re for 11 months in 2016 and holds a Bachelor's degree in Science with a focus on Statistics, Mathematics, and Economics.
Work at Sterlite Technologies Limited
Currently, Aishwarya Menon serves as a Data Analyst at Sterlite Technologies Limited, a position she has held since 2015. In her role, she is responsible for analyzing data from the manufacturing plant to optimize production processes. Her work focuses on leveraging data analytics to enhance operational efficiency within the manufacturing sector. Aishwarya's contributions are integral to the company's efforts to improve productivity and streamline operations.
Previous Experience at Swiss Re
Aishwarya Menon worked at Swiss Re as a Corporate Actuarial Analyst for 11 months in 2016. During her time at Swiss Re, she engaged in various analytical tasks that contributed to the company's actuarial functions. This experience provided her with a strong foundation in data analysis and corporate finance, which she has since applied in her current role.
Education Background
Aishwarya Menon completed her Higher Secondary Certificate (HSC) at K. C. College from 2008 to 2010, where she studied Science. She further pursued a Bachelor's degree in Science at the same institution, specializing in Statistics, Mathematics, and Economics from 2010 to 2013. Prior to this, she attended Holy Cross Convent School from 1995 to 2008, where she studied a range of subjects including Languages, Social Sciences, Mathematics, and Science.
Skills and Expertise
Aishwarya Menon possesses expertise in data analysis, particularly in the context of manufacturing processes. Her analytical skills enable her to interpret complex data sets and derive actionable insights that contribute to operational improvements. Aishwarya's background in statistics and mathematics supports her ability to apply quantitative methods to real-world challenges in the manufacturing sector.