Ananya Muralidhar
MERKLE
Role – Data Analytics Consultant (Intern)
Location: Bangalore, IN | Duration: March 2022 – June 2022
I immersed myself in the intricate world of data analytics, focusing on market analysis and web automation to deliver insightful, impactful solutions. The intersection of data and strategic analysis propelled me to delve deeper into the retail sector, enabling me to contribute to enhancing revenue growth and optimizing user experience.
01.
Web Automation: Developed a Python Selenium script specialized in web interaction, cookie extraction, and dynamic JSON configuration. This innovation enabled extensive web scraping, providing data-driven insights into user behavior, which were instrumental in optimizing marketing strategies and enhancing overall user experience.
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Tools and Technologies: Python Selenium, MITM Proxy, Python Puppeteer, Playwright
02.
Strategic Market Analysis: Analysed revenue and gross margin trends for leading US-based retail distributors in the garden segment, pinpointing key drivers and formulating targeted pricing strategies. My approach focused on evaluating multiple methods to understand the data intricacies and sales dynamics of the different retail segments. (SWOT Analysis)
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Impact: Increased revenue by 8% across retailers on average
Tools and Technologies used: Excel
Detailed Segment Analysis: Identified factors impacting margin rates and formulate strategies to increase margins among smaller competitors in the garden segment.
03.
Reflection:
This internship was a stepping stone in my journey at Merkle Inc., providing me with a comprehensive understanding of the application of data analytics in strategic market decision-making. It was during this period that I honed my skills in analysis and strategy formulation, laying the groundwork for my subsequent role as a Software Engineer. The insights gained and the challenges overcome during this internship have been pivotal in shaping my approach to problem-solving and innovation in my ongoing journey in the field of data analytics and software engineering.