Praveen Kumaran R

Product Manager

Chennai, Tamil Nadu, India3 yrs experience

AI EnabledAI ML Practitioner

Key Highlights

Experienced AI Product Manager with strong data analysis skills.
Proven track record in developing actionable dashboards for clients.
Skilled in optimizing campaign performance through data-driven insights.

Stackforce AI infers this person is a Data-Driven AI Product Manager in the Fintech and Data Science sectors.

Contact

Skills

Core Skills

Product ManagementAi Product ManagementData AnalysisData Science

Other Skills

WireframingProduct OperationsMicrosoft Power BIInterpersonal SkillsPythonExcelVisual StorytellingSalesCustomer ExperienceFinancial OperationsUser Experience (UX)Google Cloud Platform (GCP)Cloud StorageCloud Computing IaaSCloud Operations

About

I'll let my work speak.

Experience

3 yrs

Total Experience

2 yrs

Average Tenure

11 mos

Current Experience

Paypal

2 roles

AI Product Manager

Promoted

Jul 2025 – Present · 11 mos · Chennai, Tamil Nadu, India · Hybrid

Product ManagementAI Product Management

Technical Product Manager

Apr 2024 – Jun 2024 · 2 mos · Chennai, Tamil Nadu, India · Hybrid

WireframingProduct OperationsProduct Management

Themathcompany

2 roles

Data Scientist

May 2021 – Jun 2023 · 2 yrs 1 mo · India

Water Filtration Firm:
Designed and developed dashboards & reports by utilizing Python and excel for onshore clients as per their requirements to convert data into actionable metrics that will help the business to perform day to day operations.
FMCG:
Developed Actionable Dashboards and Reports: Utilized Python and Excel to design and develop customized dashboards and reports for onshore clients, translating data into actionable metrics crucial for day-to-day business operations..
Forecasting and Trend Identification: Tracked and analyzed data to create accurate forecasts and detect emerging trends, contributing to informed decision-making.
Statistical Analysis and Data Modeling: Conducted advanced data modeling and performed thorough statistical analysis to identify patterns, trends, and draw meaningful conclusions.
Money/Foreign Exchange:
Collaborative Campaign Analysis: Effectively collaborated with the company's internal analysts and marketing team to comprehensively analyze and evaluate various campaign-related Key Performance Indicators (KPIs). Examples: CTR, Open rate, Opt-out rate and r2d
Data-Driven Optimization: Leveraged data-driven insights to optimize and scale campaign performance, driving increased effectiveness

Microsoft Power BIInterpersonal SkillsData AnalysisData Science