Aman Ahuja
Data Analyst Intern @Novo Nordisk
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WORK HISTORY
Data Analyst Intern @Novo Nordisk
Plainsboro, NJ, US
Designed Snowflake schemas and automated ETL pipelines to process 10M+ patient interactions using SQL and Python from the WegoTogether platform, delivering unified datasets used by 4 cross-functional teams for KPI tracking and ad-hoc reporting• Analyzed early activity of 400K+ patients, building retention models to forecast 60-day adherence and uncover behavioral drivers that improved engagement by 15%• Built 10+ Tableau dashboards on funnel drop-offs, adoption trends, and patient cohorts, enabling marketing teams to monitor adherence patterns and adjust outreach strategies• Integrated IQVIA LAAD data with internal patient datasets in Snowflake, creating a Customer 360 dashboard that generated market sizing insights and informed multi-million-dollar investment decisions for pipeline drug• Developed predictive indicators for CKD/ASCVD progression risk, providing commercial teams with physician-level insights to prioritize HCP outreach and support proactive care strategies
EDUCATION
Delhi Technological University (Formerly DCE)
Bachelor of Technology - BTech, Civil Engineering
UCLA Anderson School of Management
Master's degree, Business Analytics
UCLA
Master's degree, Business Analytics
Delhi College of Engineering
Bachelor of Technology - BTech, Civil Engineering
ABOUT AMAN AHUJA
I am currently pursuing Master’s of Science in Business Analytics from University of California Los Angeles. Currently undertaking courses like Optimization, Machine Learning, SQL & Data Management, Prescriptive Models, Customer Analytics, Competitive Analytics, Operations AnalyticsPrior to this, at Sprinklr, I was the product owner for Sprinklr-Salesforce Connector and was responsible for driving strategic vision, fostering growth, leading & managing cross functional teams & executing multiple high impact projects. Some of my accomplishments are as follows:•Launched innovative features reducing connector setup steps by 15%, with a vision to empower customers to configure the setup independently, minimizing reliance on technical support and improving user experience.•Led agile ceremonies, including sprint planning, daily stand-ups, retrospectives, and release planning, while managing a 20+ engineering team.•Leveraged SQL and Python for data analytics to prioritize product features, analyzing and processing large datasets to inform decision-making. This data-driven approach resulted in a 30% increase in customer satisfaction and supported strategic adjustments to the product roadmap.•Collaborated in highly escalated churn risk client calls, ensuring customer retention through cross-functional team alignment and meeting aggressive deadlines.With a strong background in analytics and product strategy, I’m excited to connect with opportunities in Analytics and Product Management roles where I can contribute to innovative, data-driven solutions.
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