Chirag Pahooja

Chirag Pahooja

Analytics Manager @ The Smart Cube

About Chirag Pahooja

Chirag Pahooja is an Analytics Manager at The Smart Cube, where he has worked since 2020. He has a background in analytics and project management, with previous roles at Absolutdata Analytics and Nagarro, and holds degrees in Electrical Engineering and Marketing.

Current Role at The Smart Cube

Chirag Pahooja serves as an Analytics Manager at The Smart Cube, a position he has held since 2020. He is based in Gurugram, Haryana, India. In this role, he is responsible for utilizing advanced analytics to drive business decisions and strategies. His expertise in machine learning techniques, such as random forest and logistic regression, enables him to tackle complex business challenges effectively.

Previous Experience at Absolutdata Analytics

Chirag Pahooja worked at Absolutdata Analytics in various capacities from 2014 to 2019. He started as an Analyst from 2014 to 2015, then progressed to Senior Analyst from 2016 to 2017, and later served as a Senior Consultant from 2018 to 2019. During his tenure, he delivered analytics-based strategy consulting solutions across multiple sectors, including FMCG, CPG, Telecom, Insurance, and Retail.

Experience at Nagarro and Accenture

Chirag Pahooja held the position of Lead at Nagarro from 2019 to 2020. Prior to this, he worked as a Senior Programmer at Accenture from 2010 to 2012. His roles in these organizations contributed to his development in project management, people management, and stakeholder engagement.

Education and Qualifications

Chirag Pahooja completed his Bachelor of Technology (B.Tech.) in Electrical, Electronics and Communications Engineering from Jaypee Institute of Information Technology, Noida, from 2006 to 2010. He furthered his education by obtaining a Post Graduate Diploma in Management (PGDBM) with a focus on Marketing from the Institute of Management Technology, Ghaziabad, from 2012 to 2014.

Technical Skills and Mentorship

Chirag Pahooja possesses strong technical skills in programming languages and tools such as Python, R, SQL, and Hive, which he utilizes for data analysis and problem-solving. In addition to his technical expertise, he actively mentors team members, contributing to their professional development within the organization.

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