Kushagra Rastogi

Data Scientist

Bengaluru, Karnataka, India10 yrs experience

Highly Stable

Key Highlights

Experienced in machine learning and data science at Walmart.
Designed innovative sensor technology to enhance fuel efficiency.
Strong academic background with advanced degrees from UCLA.

Stackforce AI infers this person is a Data Science professional with expertise in machine learning and product development.

Contact

Skills

Core Skills

Product DevelopmentData Engineering

Other Skills

ArduinoMEMS sensorsCSensor data fusionData ScienceStatistical ModelingSoftware DevelopmentC++MySQLMatlabMinitabSimulinkMicrosoft OfficeAmazon Web Services (AWS)SQL

About

Contact me at kushagra.rastogi@yahoo.com

Experience

10 yrs

Total Experience

5 yrs 3 mos

Average Tenure

4 yrs 9 mos

Current Experience

Walmart

3 roles

Senior Data Scientist

Jul 2024 – Present · 1 yr 9 mos · Hybrid

Senior Data Scientist

Promoted

Nov 2023 – Jul 2024 · 8 mos · Hybrid

Data Scientist

Jul 2021 – Nov 2023 · 2 yrs 4 mos · Hybrid

University of california, los angeles

4 roles

Graduate Teaching Assistant

Oct 2020 – Dec 2020 · 2 mos · Los Angeles, California, United States

Physics 5CL

Graduate Student

Promoted

Sep 2019 – Mar 2021 · 1 yr 6 mos · Los Angeles, California, United States

Grader

Jan 2019 – Mar 2019 · 2 mos · Los Angeles, California, United States · On-site

ECE 170A

Undergraduate Student

Sep 2015 – Jun 2019 · 3 yrs 9 mos · Los Angeles, California, United States · On-site

Qualcomm

Data Scientist Intern

Jun 2020 – Sep 2020 · 3 mos · San Diego, California, United States · Remote

Nih heartbd2k center of excellence for big data computing at ucla

Data Science Research Intern

Jan 2018 – Aug 2019 · 1 yr 7 mos · Los Angeles, California, United States · On-site

Cummins india

2 roles

Data Science Intern

Jul 2017 – Sep 2017 · 2 mos · Pune District, Maharashtra, India · On-site

Product Development Intern

Jul 2016 – Sep 2016 · 2 mos · Pune District, Maharashtra, India · On-site

Designed a road gradient sensor using an Arduino and MEMS sensors that will decrease vehicle fuel consumption by 2.5% for fleet size on the order of 100,000.
Boosted sensor accuracy to 98.4% by implementing sensor data fusion algorithms (complementary filter) in C.
Explored the product development cycle: proof of concept, prototyping, testing and validation.