Mahipal Singh

Data Scientist @ Innoplexus

About Mahipal Singh

Mahipal Singh is a Data Scientist with extensive experience in data architecture and analysis. He has worked for various companies, including Aurionpro Solutions, Astro, Innoplexus, and Capgemini, and possesses strong skills in data mining and machine learning.

Work at Innoplexus

Mahipal Singh has been employed at Innoplexus as a Data Scientist since 2015. His role involves analyzing and interpreting complex data sets to support business decisions. He has contributed to various projects that require the application of statistical and machine learning techniques, utilizing his skills in data mining and programming languages such as Python and R.

Current Position at Capgemini

Since 2019, Mahipal Singh has held the position of Senior Data Scientist at Capgemini in Aquitaine, France. In this capacity, he focuses on leveraging data analytics to drive insights and improve business outcomes. His responsibilities include developing data models and implementing machine learning algorithms to solve complex problems.

Experience at Astro

Mahipal Singh has served as Assistant Vice President - Data Architecture at Astro since 2017. Based in Kuala Lumpur, Malaysia, he oversees data architecture initiatives and ensures the effective management of data resources. His role is critical in shaping data strategies that align with the organization's goals.

Previous Role at Aurionpro Solutions

Prior to his current positions, Mahipal Singh worked as a Software Engineer at Aurionpro Solutions from 2012 to 2015 in Bombay, Maharashtra, India. During his tenure, he developed software solutions and contributed to various projects that enhanced the company's technological capabilities.

Education and Expertise

Mahipal Singh completed his Master's degree at the Indian Institute of Information Technology & Management in Kerala from 2010 to 2012. He also pursued a Deep Learning Nano degree from Udacity, which further solidified his expertise in data science. His skills include mining large sets of structured, semi-structured, and unstructured data, and he is proficient in using tools like Spark.

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