Shraddha Kulkarni

Associate Consultant

Bengaluru, Karnataka, India2 yrs 9 mos experience

AI EnabledHighly Stable

Key Highlights

Promoted in 4 cycles at ZS, exceeding firm average.
Won Client Impact Champion Award for outstanding contributions.
Recognized as Most Valuable Player among peers.

Stackforce AI infers this person is a skilled AI product manager with a strong background in data analytics and engineering.

Contact

Skills

Core Skills

Product ManagementData Analytics

Other Skills

Go-to-Market StrategySQLPython (Programming Language)Agentic AI DevelopmentRetrieval-Augmented Generation (RAG)

About

you can find me at: github.com/03shraddha & shraddha-kulkarni.com

Experience

2 yrs 9 mos

Total Experience

2 yrs 9 mos

Average Tenure

2 yrs 9 mos

Current Experience

Zs

2 roles

AI Associate Consultant

Promoted

Oct 2025 – Present · 8 mos

Promoted in 4 cycles (firm average: 5 cycles) & won the Client Impact Champion Award
Moved to ZS's product team, where I help Fortune 500 pharmaceutical companies deploy enterprise-scale GenAI solutions for complex regulatory workflows
All things AI product management & customer success

Product ManagementGo-to-Market Strategy

Decision Analytics Associate

Sep 2023 – Oct 2025 · 2 yrs 1 mo

Won the Most Valuable Player award, recognition among 100+ peers across India & Argentina
Hospitality analytics for a billion-dollar U.S. hotel chain
Using data to refine pricing strategy, forecast demand & optimize customer loyalty programs

SQLPython (Programming Language)Data Analytics

Baker hughes

Digital Technology Intern

Jan 2023 – Jun 2023 · 5 mos · Bengaluru, Karnataka, India

At Baker Hughes (a General Electric company), I automated report generation pipelines that captured user activity data from shopbakerhughes.com enabling downstream data-driven decision-making

Telimart india pvt. ltd.

Antenna Engineer Intern

Sep 2022 – Nov 2022 · 2 mos · Bengaluru, Karnataka, India

At Tellimart, I worked on patch antenna design in HFSS, optimizing for specific frequency and bandwidth requirements, while also developing insight into the B2B dynamics of the telecom hardware sector

Cisco

CISCO Project Intern

Sep 2021 – Oct 2021 · 1 mo · Bengaluru, Karnataka, India

At Cisco Centre of Excellence (pre-LLMs), I helped design neural networks for hazardous image detection and classification, using YOLOv3

Education

RV College Of Engineering

Bachelor of Engineering - BE — Electronics and Communications Engineering

Jan 2019 – Jan 2023

Deeksha Centre For Learning

11th and 12th

Jan 2017 – Jan 2019

National Public School

High School

Jan 2013 – Jan 2017

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