RIVU SENGUPTA

Perceptive and logical Data Analyst with 7+ years of total experience and 3 years of relevant experience, communicates well with both technical professionals and end-users to identify and translate business requirements. Dynamic & results oriented professional with efficient skills in statistical data analytics & Machine Learning to make the work more productive for the clients. Experienced driving data accuracy and integrity to exceed quality standards. Builds and leads teams of talented professionals to develop solutions & meet business goals & objectives.

• Awarded with the Special Initiative Award for excellence in Innovation.
• Awarded with the Technical Excellence Award for effective issue resolutions throughout the year.
• Introduced Process Automation & Continuous Improvements.
• SAFe Agile Practitioner in regular work.




Certifications:

Google Professional Data Analytics| IBM Machine Learning | Six
Sigma Green Belt Certification | Lean & Agile Certification | LinkedIn skill badge for Microsoft Excel | ISTQB Foundation level

1. Academic Research Based Project on Business Analytics | Tech Stack: Python, MS Excel, Tableau | October 21 to April 22
Consumer Personality Analysis for Electric Vehicles in India

Objective: A capstone research-based project about Consumer Personality Analysis for Electric Vehicles in Indian Market. Thesis is getting prepared based on the outcomes of the research and insights about Consumer Personality Analysis for Electric Vehicles in India.
Key Achievements: A Multiple Linear Regression model is developed from collected data with 77% accuracy to answer the below business questions:

i). Which parameters influence the most in EV purchase in India?
ii). Who will be the ideal consumer segment(s) for any new EV?

2. Capstone Project: Google Professional Data Analytics Certification | Platform: Coursera | Tech Stack: R, SQL, MS Excel, Tableau | Nov'21

Key Achievements: Developed a data model which proves that Subscription Model, Structure & Fees were the most significant parameters for the customers to churn out and opt for the competitor cycle subscription company.

3. Power BI Virtual Case Experience | Platform: Forage | Company: PwC | Tech Stack: MS Power BI, MS Excel | Dec 2021
Objective: Finding customer trend of a Call Centre and increase the Customer Retention Rate using PBI dashboard. Help the company achieving more revenue. Solution: Using Exploratory Data Analysis found the trend & pattern about customer data & helped the Call Centre improve the quality of customer service. Created dashboards for Customer Churn & increased the Retention Rate.