Prabhav Tolety

Operations Associate

San Francisco, California, United States4 yrs 7 mos experience

AI EnabledHighly Stable

Key Highlights

Expert in data-driven decision making and analytics.
Proficient in developing NLP-based solutions.
Experienced in IoT systems for real-time data analysis.

Stackforce AI infers this person is a Data Analytics and IoT specialist in the Retail and Technology sectors.

Contact

Skills

Core Skills

Data AnalysisNatural Language Processing (nlp)Iot Systems

Other Skills

PythonPySparkAzure DatabricksArduinoC++HTMLMySQLExcelBusiness AnalyticsSupply Chain ManagementData MiningQuality AnalysisMachine LearningStatistical Process Control (SPC)Business Analysis

About

Graduate of the Master of Science in Business Analytics program at W.P Carey School of Business. Passionate about following a data-driven approach to tackle elaborate issues concerning business in the supply chain. Proficient knowledge in Analytics, Statistics, and Programming.

Experience

4 yrs 7 mos

Total Experience

4 yrs 7 mos

Average Tenure

4 yrs 7 mos

Current Experience

Walmart

3 roles

Manager, Technology Operations

Jul 2025 – Present · 10 mos

Manager, Advanced Analytics

Promoted

Apr 2023 – Jul 2025 · 2 yrs 3 mos

Advanced Analytics Specialist II

Oct 2021 – Apr 2023 · 1 yr 6 mos

Petsmart

Data Analyst Intern

Jan 2021 – May 2021 · 4 mos · Arizona, United States

Devised a NLP based recommendation engine for substitutions for when a product is out of stock online
Data Pre-processing, analysis and summarization.
Build a set of features that describe the similairity between products using text descriptions.
Build a similarity matrix from a feature set and validate against PetSmart’s product hierarchy.
Technologies used : Python, PySpark , Azure Databricks

PythonPySparkAzure DatabricksData AnalysisNatural Language Processing (NLP)

Indian institute of science (iisc)

IoT Research Intern

May 2018 – Jul 2018 · 2 mos · Bengaluru, Karnataka, India

Devised an Internet Of Things (IOT) system with Temperature and Humidity sensors in HVAC systems.
Objective was to place programmed sensors in different building zones, fetch and analyse data in real-time and
automate decisions based on analysis .
System proved to be useful not only financially, but also in terms of time and energy efficiency.
Collected Metrics, prepared reports and presented seminars on a regular basis
Programmed Microcontrollers to fetch data from various points, stored the data in a DB and built analytical reports
using HTML/Excel
Technologies used : Arduino(MC), C++, HTML, MySQL, Python, Excel