Deepak Bhandari

Lead- Machine Learning | Artificial Intelligence- Sustainment Services at Kinaxis

Deepak Bhandari is a highly experienced professional with a strong background in machine learning, data analysis, and business insights. Deepak currently works at Kinaxis as the Lead for Machine Learning and Artificial Intelligence in Sustainment Services. In this role, Deepak is responsible for translating retail and CPG customers' business needs into actionable insights and collaborating with cross-functional teams to ensure client requirements are met.

Prior to their current position, Deepak worked at JCPenney as a Data Scientist, where they played a key role in setting up a Big Data Framework and delivering business impact through data science and business process changes. Deepak also partnered with senior business leaders to identify big data and data science use cases to solve business problems.

Before joining JCPenney, Deepak held the position of Senior Data Analyst/Analytics Consultant at Subex Ltd, where they gained valuable experience in data analysis and consulting. Deepak was also associated with ValueLabs as a Senior Executive in Data Analytics, where their primary responsibilities included providing actionable business insights using statistics and machine learning algorithms across various industries.

Overall, Deepak Bhandari has extensive expertise in machine learning, data analysis, and delivering business impact through data-driven insights in diverse settings.

Deepak Bhandari's education history includes attending City Montessori School, where they studied Physics, Chemistry, Maths, and English. Deepak later pursued a Bachelor's degree in Electronics and Communications Engineering from Motivational Pathway. Additionally, Deepak has obtained various certifications, such as the PSCC-1: Consulting Certificate from Canvas Credentials, the Kinaxis Blueprint Certification from Kinaxis, and certifications in Docker for Data Scientists and Extending Hadoop for Data Science: Streaming, Spark, Storm, and Kafka from LinkedIn.

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