Kalyani Nimbalkar

Product Manager

Bengaluru, Karnataka, India7 yrs 11 mos experience

Highly Stable

Key Highlights

Experienced in product management across multiple tech companies.
Strong analytical skills with a focus on data-driven decision making.
Proficient in various data analysis tools and methodologies.

Stackforce AI infers this person is a Product Manager with expertise in data analysis and product strategy within the tech industry.

Contact

Skills

Other Skills

EconomicsData AnalysisMicrosoft ExcelSQLMongoDBGoogle AnalyticsMixpanelPythonStataMicrosoft OfficeMarket ResearchSketchUpEViews

Experience

7 yrs 11 mos

Total Experience

1 yr 2 mos

Average Tenure

9 mos

Current Experience

Dashverse

Product, Frameo.ai

Jul 2025 – Present · 9 mos · Bengaluru, Karnataka, India

Meesho

Senior Product Manager

Oct 2024 – Jun 2025 · 8 mos · Bengaluru, Karnataka, India

Zynga

2 roles

Senior Product Manager

Promoted

Jun 2022 – Aug 2024 · 2 yrs 2 mos

Product Manager

Jun 2021 – May 2022 · 11 mos

Mastree

Product Manager

Sep 2020 – May 2021 · 8 mos · Bengaluru, Karnataka, India

Hackerrank

2 roles

Product Manager

Promoted

Nov 2019 – Sep 2020 · 10 mos

Product Analyst

Dec 2018 – Nov 2019 · 11 mos

Ola (ani technologies pvt ltd)

Analyst

Jan 2016 – Aug 2016 · 7 mos · Bengaluru, Karnataka, India

My responsibilities include:
Customer Lifecycle Management (Onboarding and Reactivation)
Analysing customer side data for Ola across cities and categories
Creating communication strategy to increase new user conversion at onboarding stage based on funnel analysis
Working on a comprehensive customer churn analysis to understand user inactivation and design a strategy to re-engage inactive users

Housing.com

Product Analyst

Jun 2015 – Nov 2015 · 5 mos · Mumbai Metropolitan Region

My responsibilities include:
> Facilitate data driven decisions at conceptualization, prototyping and post release stages for Ad Products
> Perform deep-dive analysis on user-product interaction data to draw actionable insights through analysis and optimize product performance
> Collaborate with front-end, back-end and data-sciences teams to implement data capturing schema for Ad Products
> Establish an automated daily data generation and mailing process to ensure operational control
> Define and monitor product-business KPIs for weekly reporting to track and optimize performance
> Handle ad-hoc requests and communicate key statistical and behavioural findings for products to all stake holders: product manager, business and operations teams

Clsa

Project Intern, Equity Research

May 2014 – Jul 2014 · 2 mos · Mumbai Metropolitan Region

Developed 3-statement valuation models to evaluate large cap stocks of automobiles and metals-mining sectors
Assessed historical trends and used discounted cash flow analysis to build forecasts based on end-market demand
Published studies on global sales performance of Tata Motors’ JLR brand and structural issues of Coal India