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GenI Applied Scientist at Walmart Global Tech
Passionate and versatile Data Scientist with expertise in AI and ML, specializing in ML and Depp Learning with applications developed for recommendation systems and computer vision applications. With a proven track record of developing and deploying robust models, I have driven user engagement and business growth across various domains, including E-commerce, where I have developed personalized recommendation engines that enhance customer experience and increase sales. My skills encompass image classification, object detection, video analysis, and deep learning architectures to build high-performance models. I am proficient in deploying models using platforms like AWS SageMaker and employing MLOps best practices for efficient deployment, monitoring, and maintenance. With strong communication and leadership skills, I collaborate effectively with cross-functional teams to deliver customer-focused solutions while continuously exploring new technologies to solve complex real-world problems and drive innovation in the field of data science.
Georgia Institute of Technology
Master's degree, Computer Science
January 1, 2017 – November 1, 2020
University at Buffalo
Master's degree, Mechanical Engineering
August 1, 2001 – November 1, 2004
B. M. S. College of Engineering
Bachelor's degree, Mechanical Engineering
October 1, 1994 – September 1, 1998
Walmart Global Tech
Principal Data Scientist
May 1, 2026 – Present
Walmart Global Tech
Staff Data Scientist
September 1, 2024 – May 1, 2026
Amazon
Data Scientist
July 1, 2022 – August 1, 2024
Greater Seattle Area
iHerb, LLC
Data Scientist Machine Learning and AI
March 1, 2021 – June 1, 2022
Greater Seattle Area
T-Mobile
Data Scientist
November 1, 2020 – February 1, 2021
Accenture
Senior Data Scientist
November 1, 2018 – August 1, 2020
Greater Seattle Area
GawkBox
Data Scientist Machine Learning and Recommendation Systems
August 1, 2017 – August 1, 2018
Greater Seattle Area
Boeing Commercial Airplanes
Aerospace Engineer
January 1, 2009 – August 1, 2017
Greater Seattle Area
Heath Tecna
Stress Engineer
June 1, 2006 – December 1, 2008
Bellingham, Washington Area
Spirit AeroSystems
Stress Engineer
August 1, 2005 – June 1, 2006
Wichita, Kansas Area
Lohitsa Inc
CAE Engineer
October 1, 2004 – August 1, 2005
Bloomfield Hills MI
State University of New York at Buffalo
Student
August 1, 2001 – September 1, 2004
Buffalo/Niagara, New York Area
Traffic Sign Classification
April 1, 2017 – Present
•Implemented Deep learning Convolution Neural Network (CNN) and Computer Vision for multi class classification of the traffic signs . •Python, OpenCv and Tensorflow libraries were used. •Precision, Recall, F1-Score and Confusion Matrix was used as Metrics,Accuracy of 98.8% was obtained as compared to the benchmark of 99.46%
Smart Cab Training- Reinforcement Training
February 1, 2017 – Present
•Reinforcement Learning. •Q-learning reinforcement. •Training of Smart cab to drive through an environment so that the smart cab agent reaches its destination safe and reliable.
Design Knowledge-Based AI - Solve Raven's Progressive Matrices
August 1, 2016 – December 1, 2016
•Knowledge based AI techniques for identifying the Raven's Progressive matrices (RPM) Using Visual Approach. •Sematics Networks, Generate and Test Methods, Symbolic representation and other knowledge based AI methods were utilized to design the solution. • Python based libraries PIL and numpy
Machine Learning- Clustering and Retrieval
Coursera Course Certificates
June 24, 2026 – Present
Machine Learning: Classification
Coursera Course Certificates
June 24, 2026 – Present
edX Verified Certificate for Introduction to Computer Science and Programming Using Python
edX
June 24, 2026 – Present
edX Verified Certificate for Statistical Thinking for Data Science and Analytics
edX
June 24, 2026 – Present
R Programming
Coursera Course Certificates
June 24, 2026 – Present
The Data Scientist’s Toolbox
Coursera Course Certificates
June 24, 2026 – Present
Robotics: Aerial Robotics
Coursera Course Certificates
June 24, 2026 – Present
Machine Learning Foundations: A Case Study Approach
Coursera Course Certificates
June 24, 2026 – Present
Hadoop Platform and Application Framework
Coursera Course Certificates
June 24, 2026 – Present
Machine Learning: Regression
Coursera Course Certificates
June 24, 2026 – Present
Introduction to Recommender Systems
Coursera Course Certificates
June 24, 2026 – Present
Machine Learning by Stanford University on Coursera
Coursera Course Certificates
June 24, 2026 – Present
Introduction to Big Data
Coursera Course Certificates
June 24, 2026 – Present
Cultural Fit Analysis
The candidate has worked at diverse companies ranging from large enterprises (Walmart, Amazon, T-Mobile, Accenture, Boeing) to smaller tech companies (iHerb, GawkBox). This breadth of experience suggests adaptability to different organizational cultures. The progression from Aerospace Engineer to Data Scientist demonstrates a strong drive for continuous learning and career transition, which aligns with a growth-oriented culture. The project diversity (traffic sign classification, smart cab training, Raven's matrices) also indicates a broad interest in AI/ML applications.
Soft Skills & Operational Fit
The candidate's experience descriptions indicate collaboration with business stakeholders, leading development efforts, and working with cross-functional teams, suggesting strong operational fit and communication skills. The ability to translate business requirements into data tasks is a key soft skill for senior roles.