WORK EXPERIENCE

Operations Business Analyst Intern at Merck

June 2023 - December 2024

Location: Hybrid, Rahway, New Jersey

In my current role at Merck, I analyze business operations for the Operations Excellence team to identify areas for improvement and streamline processes. My key responsibilities include:

• Developed a multi-page Power BI dashboard that uncovered 10% of tail spend, enabling vendor consolidation opportunities and enhancing vendor management strategies.
• Performed data analysis and cleaning on Vendor Spend Management through SAP Ariba, identifying 21% of non-vendor forecasted budget. Developing logic to proportionate this to new vendors for the next cycle. Collaborated with cross-functional teams to enhance budget allocation and improve forecasting, aiming to boost accuracy.
• Launching an in-depth PowerBI dashboard for the early talent team, by presenting KPIs and key insights to improve recruiting efficiency. Leveraging Python to format data accurately to reduce data preparation time.
• Creating strategic wireframes using Figma to visualize components.
• Using agile methodology with Jira to maintain accountability and creating user stories to articulate project requirements into tasks.
• Conducting ad-hoc analyses to identify key areas for improvement, standardizing and automating data pre-processing reducing the manual crunch by 25%

Data Scientist at Gramhal Foundation

June 2022 - May 2023

Location: Remote, India

At Gramhal Foundation, I worked as a Data Scientist focusing on creating data-driven solutions for agricultural problems. My responsibilities included:

• Led the development and implementation of an innovative Alerts and Monitoring system using Python and AWS Lambda, which resulted in a 50% reduction in downtime and streamlined bug identification processes. Regularly evaluated key performance indicators (KPIs) and metrics, ensuring timely alerts on performance bottlenecks, and failures.
• Executed 15+ user interviews and conducted A/B tests, uncovering the significance of OCR among local users. Translated these insights into customer-centric information exchange methods, enhancing user experience.
• Incorporated advanced SQL queries on large datasets (1.2M+ records) to design comprehensive dashboards for KPI tracking, performance optimization, and strategic decision-making by leveraging Google Data Studio.
• Enhanced discoverability of product features by over 70% through in-depth analyses using Google Analytics. Recommended and directed targeted feature enhancements, resulting in a notable 35% improvement in retention rate.
• Accomplished 30% improved user interaction in two months, expanded WhatsApp Chatbot to four states by leading arket analysism, and collaborated on defining critical product features and OKRs for growth with cross-functional teams.

Key Achievements:

• Established a data pipeline to alert and monitor KPIs on a daily basis which helped in reducing downtime and ease of back-propagating bugs
• Advanced product features by constant analysis and ad-hoc testing

Data Science Intern at Gramhal Foundation

June 2021 - November 2021

Location: Remote, India

At Gramhal Foundation, I worked as a Data Science Intern focusing on creating Computer vision and product solutions for farmers in India. My responsibilities included:

• Developed a YoloV3-powered custom computer vision quality inspection model for corn grains, achieving 88.9% accuracy , streamlining inspection processes, and improving efficiency.
• Increased average chat duration by 20% through user-centric interface design in Figma and enhanced user satisfaction by 35% with data-driven dashboards in PowerBI, identifying key areas for product improvement.

Machine Learning Intern at VsualThree60

February 2021 - March 2021

Location: Remote, India

At VsualThree60, I supported the Machine Learning team in creating a live-stream application for customer satisfaction in a retail store. My responsibilities included:

• Spearheaded Vision360 product development, training pre-existing models to achieve 91% accuracy in detecting faces, emotions, gender, age, and ethnicity in live video streaming.

Machine Learning Intern at Augrade

July 2020 - December 2020

Location: Remote, India

At Augrade, I supported the Machine Learning team in creating a recommendatione engine for their new application. My responsibilities included:

• Developed a content based recommendation engine to recommend similar food items for visitors. Deployed the same using Flask API. The recommendation engine increased user engagement by 20%.