Hemanshi Marwaha

I own the marketing science for Amazon Canada and help analyze campaign performance and optimize campaign strategy.

- Increased member engagement by analyzing sales and trends, resulting in a 4x rise in event attendance
- Improved data collection processes to fix inconsistent reporting, enhancing accuracy by 30%.
- Created interactive dashboards in Power BI and Tableau for real-time data insights, enabling stakeholders to make informed decisions.

● Developed Tableau dashboards to improve retention in the talent pipeline, resulting in a 17% increase in retention rates
● Streamlined reporting processes with SQL, cutting report generation time by over 50%
● Analyzed user engagement data to identify key factors that led to a 25% increase in user interaction, improving the effectiveness of career transition programs.

Used surveys and feedback programs to identify learner pain points, improving program retention by 17%. Conducted sentiment and market trend analysis and built dashboards to deliver insight-driven recommendations for product and experience optimization.

Performed Twitter Topic Modeling using BERT, and LDA on utilities-tagged tweets to predict hot topics in the area for making informed business decisions to improve utility services
● Optimized statistical efficiency and data quality by identifying data discrepancies and data cleansing
● Analyzed the behavior patterns of 2K customers using cluster analysis; improved marketing campaign by 72%

Analyzed customer sentiment and feedback during service disruptions, improving satisfaction from 78% to 90% using surveys and the Tweepy API. Delivered benchmarking and data-driven recommendations that informed CX communication improvements and were incorporated into SOPs.

● Analyzed customer feedback data and utilized insights to drive business decisions and improve customer experience
● Developed and implemented sales strategies to identify new business opportunities, resulting in a 25% increase in new client acquisition
● Developed a variety of high-quality written documentation, presentations, and briefing materials to communicate complex recommendations

● Built data models and maps to generate meaningful insights from customer data, boosting successful sales efforts by 12%
● Generated factually supported recommendations for clients, highlighting promising areas for growth
● Collected and analyzed data on customer demographics, preferences, needs, and buying habits to identify potential markets and factors affecting product demand

Provided market research reports across domains including automotive, retail, fintech, consumer goods, and healthcare; estimated upcoming market trends, characteristics and scenarios
● Focused on customer retention by building customer segment models and recommended particular segment attention that increased retention by 21%
● Prepared company profiles, management biographies and industry reports

Completed a Bachelor of Science (Honours) in Mathematics at the University of Delhi in New Delhi.

Completed a Post-Degree Diploma (Master’s) in Data Analytics at Langara College in Vancouver.

Earned the Microsoft Azure Fundamentals professional certificate.

Completed a Master of Science in Mathematics at Amity University in Noida.

Completed the Women in Technology program at ACCES Employment in Toronto.