Pratyush Purohit

Founder's Office @ Zamp

About

I'm Pratyush Purohit, a highly motivated and ambitious individual who recently graduated with a degree in Mathematics, Statistics, and Computer Science. I am currently working as a Data Analyst at EY, where I utilize my passion for data analytics to make informed decisions and solve complex problems. My academic background has provided me with a solid foundation in mathematics, statistics, and computer science, equipping me with the analytical and problem-solving skills essential for the field of data analytics. I have completed several courses in data analysis, machine learning, and programming languages such as Python, R, and SQL, which have deepened my understanding of data analytics principles. At EY, I aspire to use data analytics to uncover patterns, identify trends, and provide insights that drive better decisions for teams and organizations. I am eager to continue learning and growing in this field, and I believe my analytical skills and passion for data analytics will contribute significantly to the industry.

Country

India

City

Bangalore Urban

Industry

Information Technology & Services

Skill

Project Management, Artificial Intelligence (AI), Prompt Engineering, Business Intelligence (BI), Predictive Analytics, Alteryx, VLOOKUP, MySQL, SQL, Ad Hoc Analysis, Business Analytics, Machine Learning, Digital Marketing, Search Engine Optimization (SEO), Content Marketing, Digital Marketing Content, LaTeX, Visualization, Data Visualization, Statistical Analysis

Experience

Founder's Office

Zamp

2025-8 - Present · 1 yr 2 mos

Bengaluru, Karnataka, India

Analyst

2024-7 - 2025-8 · 1 yr 2 mos

Bangalore Urban, Karnataka, India

Executed analytics for a leading E-Commerce client, driving revenue growth and third-party logistics optimization, achieving a 15% cost reduction and strengthening business strategy alignment. Analyzed B2B and B2C business domains, evaluating key variables like cost and sales growth, driving insights to inform strategic decisions and enhance performance. Devised and executed automation strategies to streamline workpaper processes, boosting efficiency by 30% and improving accuracy in data handling.