Giridhar M.
About Giridhar M.
Giridhar M. is an AI Product Manager at TELUS in Toronto with over 14 years of experience in AI, Business Analytics, and Data Science.
Current Role at TELUS
Giridhar M. is currently working as an AI Product Manager at TELUS in Toronto, Ontario, Canada. In this role, he focuses on leveraging artificial intelligence to enhance product offerings. His responsibilities include managing AI-based projects, developing strategies to integrate AI into products, and collaborating with other departments to ensure seamless implementation.
Previous Experience at Capgemini
Giridhar M. worked at Capgemini from 2016 to 2022 in various roles within the Insights and Data division. He began as a Senior Consultant in Cleveland, Ohio, before progressing to Manager and, ultimately, Senior Manager in Toronto, Ontario. His tenure at Capgemini involved overseeing data analytics projects, implementing data-driven strategies, and leading teams to deliver insights across different verticals.
Role as Lead Business Analyst at Wipro Limited
Giridhar M. held the position of Lead Business Analyst at Wipro Limited from 2010 to 2016 in Portland, Oregon. During this period, he focused on business analytics and data-driven decision-making. His role involved analyzing business processes, creating data models, and providing actionable insights to improve operational efficiency.
Educational Background
Giridhar M. has a diverse educational background. He studied Organizational Leadership at the University of Toronto School of Continuing Studies in 2023. He also completed a Certificate in Engineering Excellence in Data Science, Analytics & Optimization from the International School of Engineering (INSOFE) from 2011 to 2012. Additionally, he holds a Bachelor of Engineering (BE) from Dharmsinh Desai University, achieved between 2003 and 2007.
Technical Skills and Expertise
Giridhar M. possesses expertise in numerous technical skills, including Machine Learning, Operations Research, Optimization, NLP, Deep Learning, Artificial Intelligence, Pricing Analytics, Data Mining, and Statistics. He is proficient in SAS, R, SQL, Python, and AI Strategy. His extensive knowledge helps him deliver complex AI solutions and data-driven strategies across various industries like CPG, Financial Services, Insurance, Pharma, and Retail.