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

prashantchandel1097@gmail.com LinkedIn

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

Using data to make the supply chain more resilient

At&t

Product Strategy Consultant

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

Cars24

2 roles

Data Scientist

Promoted

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

Recommendation Systems

Associate Data Scientist

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

Pricing Models

Anheuser-busch inbev

Principal Analyst

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

Publicis sapient

Software Engineer Intern

May 2019 – Jul 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 2018 – Jul 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