Prashant Chandel

Product Manager

Austin, Texas, United States3 yrs 5 mos experience

Key Highlights

  • Expertise in AI product management and data science.
  • Strong background in supply chain resilience and recommendation systems.
  • Proficient in multiple programming languages and data visualization tools.
Stackforce AI infers this person is a Data Science and AI Product Management professional with a focus on supply chain and recommendation systems.

Contact

Skills

Other Skills

C++JavapythonSQLMicrosoft ExcelMicrosoft OfficeCMicrosoft PowerPointRMicrosoft WordAdobe PhotoshopInDesignLaTeXJupyterNumPy

Experience

3 yrs 5 mos
Total Experience
1 yr 8 mos
Average Tenure
--
Current Experience

Dell technologies

Product Management Intern

Jan 2025Dec 2025 · 11 mos · Austin, Texas Metropolitan Area · On-site

  • Using data to make the supply chain more resilient

At&t

Product Strategy Consultant

Sep 2024Nov 2024 · 2 mos · Dallas, Texas, United States · Remote

Cars24

2 roles

Data Scientist

Promoted

Mar 2022Jan 2024 · 1 yr 10 mos · Gurugram, Haryana, India · On-site

  • Recommendation Systems

Associate Data Scientist

Sep 2021Mar 2022 · 6 mos · Gurugram, Haryana, India · On-site

  • Pricing Models

Anheuser-busch inbev

Principal Analyst

Aug 2020Sep 2021 · 1 yr 1 mo · Bengaluru, Karnataka, India

Publicis sapient

Software Engineer Intern

May 2019Jul 2019 · 2 mos · Gurgaon, Haryana, India

  • Designed and implemented application components in an Agile environment
  • Employed information extraction techniques, BERT-NER to extract features from resumes for EDA
  • Tried Topic Modelling using contextual word embeddings and KNN for document classification
  • Visualization of Insights using Tableau; F1 scores- Neural Network: 0.86 and Decision Tree: 0.81
  • Offered a PPO as ASDE-2 as a result of the work done during the internship
  • Python Packages: NLTK, spacy, Keras, sklearn,BeautifulSoup, KeywordProcessor
  • Tools: Tableau, Docker

Nanyang technological university

Research Intern

May 2018Jul 2018 · 2 mos · school of physical and mathematical science

  • Employed Mathematical and Computational Techniques to solve the quantum master equation for a coupled well
  • Worked out the state equations to maximize the occupation probability of the entangled state using quantum interference
  • Utilized Matplotlib and Seaborn to visualize the data obtained to compare the occupation probability of different states
  • Python Packages: Sympy, Numpy, Matplotlib, Seaborn | Tools : Matlab, Latex

Education

Texas McCombs School of Business

Master of Business Administration - MBA

Jun 2024Jun 2026

Indian Institute of Technology, Delhi

Bachelor of Technology — Engineering Physics

Jan 2016Jan 2020

Esade

MBA

Jan 2026Mar 2026

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