Harsh P.

Harsh P. has a diverse work experience, starting with their most recent role as a Solutions Intelligence Specialist - Analytics at Essex Lake Group. In this position, they own a workstream, conducts analysis, mentors analysts, and develops solution design and implementation blueprints. Harsh is skilled in working with big-data analytical tools such as SQL, SAS, Python, or R.

Prior to that, Harsh worked as a Senior Data Analytics Consultant at MultipleStartups, where they designed and developed end-to-end analytics solutions and gained a deep understanding of business processes in the fintech space.

Harsh also has experience at American Express, where they served as a Senior Business Systems Analyst and a Business Analyst. In these roles, they conducted analysis, generated insights, developed MIS tools and capabilities, and led the development of MIS solutions.

Before American Express, Harsh was a Business Operations Associate at ZS, where they drove sales and marketing analytics for a major pharma client.

Harsh'scareer began as a Management Trainee at Tata Consultancy Services.

Throughout their work experience, Harsh has demonstrated expertise in data analysis, solution development, and driving business insights.

Harsh P. holds a Master's degree in Data Science from Liverpool John Moores University, which was obtained between 2021 and 2022. Prior to this, they completed a Post Graduate Diploma in Data Science from the International Institute of Information Technology Bangalore from 2020 to 2021. Harsh'searlier education includes a BE-MBA Dual Degree in Industrial Engineering and Operations Management from Thapar Institute of Engineering & Technology, where they studied from 2012 to 2017. Additionally, Harsh P. has obtained several certifications, including a Post Graduate Diploma in Data Science from the International Institute of Information Technology Bangalore in May 2021, a Tableau Desktop Specialist certification from Tableau Software in May 2019, and a Green Belt in Lean Six Sigma from KPMG in December 2015.