Dr. Gayatri Rode
Ph.D. Statistics (Stochastic Forecasting Models), Product Manager-Advanced Analytics, Statistician, SAFe PO/PM 5.0
Pune
Summary
Product Manager with a PhD in Data Science, combining a strong statistical and mathematical background to drive and innovative product development. Exceptional problem-solving skills, creative solutioning, agile expert, technically sound and have mastered the collaborative approach to deliver strategic growth. Experienced in leveraging data-driven insights, I am dedicated to learning cutting-edge methodologies to drive innovation and deliver impactful solutions
Overview
7
7
years of professional experience
8
8
years of post-secondary education
3
3
Certifications
Work History
Product Management, Advanced Analytics
NielsenIQ
06.2023 - Current
- Product Manager for a specialized product centered on data analysis, market trends, and promotional activity efficiency assessment.
- Efficiently enhanced the product by adding new features and valuable insights. Launched into 2 new countries within 8 months of joining (from set-up to live) and expanding it further.
- This product not only delivers critical insights regarding the effectiveness of promotions but also facilitates comparative assessments between your promotional activities and those of competitors.
- Additionally, working on building a new product based on complex data to solve specific SMBs client needs by generating meaningful insights and NLG action items for the user
- Hands on experience of designing, building and launching a new sales metric/analytics product from scratch
- Designed custom data models for clients, allowing them to gain deeper insights into their business operations.
Senior Data Analyst
NielsenIQ
6 2022 - 07.2023
- Worked 3 different data science products as a SME for improving the methodology, efficiency, accuracy of results and relevance of a data product which analyses market trend, pricing strategy, promotion strategy and shelf assortment for a particular item in the market
- Developed arithmetic and statistical techniques to solve various business problems and extract relevant insights
- Improve data quality by 90% and integrity by designing and implementing data validation and cleansing processes
- Skilled in identifying key business questions, designing and implementing complex analytical solutions, and communicating insights to stakeholders
- Collaborated with cross-functional teams to develop and execute data-driven strategies for the company's product development
- Took on the challenge to explore a product role to improve performance and solve underlying methodological challenges of an existing product
Senior Analyst
Deutsche Bank
07.2021 - 06.2022
- A SME on statistical models for projecting AUM of Wealth Management instruments such as trust, custody and DPM.
- Using complex regression models we are working on improving accuracy of forecasts for the financial data.
- Conceptualizing and brainstorming modelling approaches for modelling volatile time series.
- In depth research and problem solving to provide newer solutions and efficient modelling.
- Statistical modelling and results (visualization) using Python, R-studio and advance MS-Excel.
- Trend analysis and data interpretations using data modeling and statistical analysis.
Fraud Detection-Data Analyst
CODA Payments
10.2020 - 07.2021
- Applied statistical and algebraic techniques to interpret key points from gathered data and built models for real time transaction data of large volume and velocity.
- Productionised unsupervised machine learning algorithm for Fraud Detection within 6 months of joining.
- Used novel techniques like t-SNE for better understanding of data
- Handled large volumes, real time transaction data with imbalanced classes for classification.
- Automated fraud operations in python to generate daily reports for transactions data.
- Collaborated with team members to discuss fraud trends and brainstorm methods to combat this type of crime.
- Building a proactive anomaly detection machine learning model for a large time series data from scratch.
- Reporting directly to the senior management, undertaking various tasks and projects for the fraud analytics team.
Student Researcher Ph.D. Candidate
University Of Greenwich
11.2017 - 08.2020
- Built stochastic forecasting models to analyze a volatile time series data.
- Streamlined research processes to meet tight deadlines for multiple projects.
- Assisted in teaching statistics course.
- Trained tutor at MASH (mathematics and statistics help), a drop in consultancy service provided by the university.
Education
Ph.D. - Statistics, Mathematical Sciences
University of Greenwich
London 11.2017 - 11.2020
Master of Science - Statistics
Pondicherry Central University
Pondicherry, India 06.2015 - 04.2017
Bachelor of Science - Statistics
Fergusson College, Pune University
Pune, India 06.2012 - 04.2015
Skills
- R Studio
- SPSS
- SQL
- Python
- Machine Learning
Fraud analysis
- Advanced MS Excel
- ChartIO
- JIRA
- Agile Methodology
- Product analysis
Certification
Actuarial Science CT3 Probability and Mathematical Statistics (2014)
Internships
1. Bank of Maharashtra, June 2016
2. IISER (Indian Institute of Science Education and Research), Pune, June 2017
Hobbies
- Sports: Awarded [Full Colours Award] in recognition for dedicated services to the women's hockey team at UoG.
- Painting and Sketching: Instagram page @paint_fluent
- Socializing: Elected to [Vice-Precident] for [UoG Indian Society] in [2019-2020]
- Reading: President at the Book club in UoG [2019-2020]
Awards
- KUDOS Award Dec 2023, issued by NielsenIQ: In recognition of the hard work and client impact made via Enriched Events and also growth as a Product Manager
- Recognition Award Apr 2022, issued by Deutsche Bank: In recognition of outstanding contributions to the team and division
Timeline
Product Management, Advanced Analytics
NielsenIQ
06.2023 - Current
SAFe5.0 certified PO/PM
12-2022
Senior Analyst
Deutsche Bank
07.2021 - 06.2022
Fraud Detection-Data Analyst
CODA Payments
10.2020 - 07.2021
Student Researcher Ph.D. Candidate
University Of Greenwich
11.2017 - 08.2020
Ph.D. - Statistics, Mathematical Sciences
University of Greenwich
11.2017 - 11.2020
Silver Medal in Excel Competition, University of Madras, Chennai
06-2016
Master of Science - Statistics
Pondicherry Central University
06.2015 - 04.2017
Actuarial Science CT3 Probability and Mathematical Statistics (2014)
06-2014
Bachelor of Science - Statistics
Fergusson College, Pune University
06.2012 - 04.2015
Senior Data Analyst
NielsenIQ
6 2022 - 07.2023
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