# Aman Malhotra > Software Engineer @ Walmart Global Tech Location: Moraga, California, United States Profile: https://flows.cv/amanmalhotra I am a software engineer at Walmart Global Tech working in data science in the fraud space. I graduated from Stanford University with a B.S. in Mathematical and Computational Science and minor in German Studies in 2023 and M.S. in Statistics in 2024. I also have a strong passion for music and am an avid sports fan. ## Work Experience ### Software Engineer @ Walmart Global Tech Jan 2024 – Present | Sunnyvale, California, United States Sam’s Club Fraud Engine Team ### Course Assistant, MATH 104: Applied Matrix Theory @ Stanford University Jan 2023 – Jan 2024 | Stanford, California, United States Created homework solutions, held exam review sessions and weekly office hours for 20-30 students. ### Quantitative Investment Research Intern @ Ultramarin Jan 2023 – Jan 2023 | Berlin, Germany - Developed tactical asset allocation rules for portfolio exposure to risky vs. risk-free assets in the European market, informed by time series analysis and stochastic modeling. - Expanded the existing Python codebase to consider new markets and asset classes. ### Research Assistant @ Stanford University Graduate School of Business Jan 2021 – Jan 2023 Working under Prof. George Foster, conducted graphical and statistical analysis in R to explore the efficacy of the MLB draft over time. ### Natural Language Processing Intern @ MBition GmbH Jan 2022 – Jan 2022 | Berlin, Germany - Extracted data from digital sources (including webpage scraping) to construct multiple language corpora. - Implemented hierarchical LLM pre-training, intent classification, and entity classification tasks in Python using sklearn, PyTorch, TensorFlow, and Hugging Face. - Ran experiments and hyperparameter tuning on Azure virtual machine, training models on multiple GPUs. - Integrated trained models and predictions into interactive browser application, used in presentation to team members. ### Data Analytics Consultant @ Stanford Sports Analytics Club Jan 2020 – Jan 2022 | Stanford, California, United States - Conducted regression analysis in R to develop an adjusted plus-minus metric using data from Stanford Women’s Basketball. - Analyzed play-by-play data from Stanford Men’s Basketball in R to produce detailed scouting reports on Pac-12 conference opponents. Collaborated with representatives from Ludis Analytics and presented findings to members of the Stanford Men’s Basketball coaching staff in preparation of games. - Worked on data extraction, cleaning, and regression analysis in R for player-side project with San Jose Earthquakes (Major League Soccer), collaborating with members of front office. ### Data Science Intern @ Loyalytics Consulting Jan 2021 – Jan 2021 | Bengaluru, Karnataka, India - Experimented with various probabilistic and machine learning approaches in Python to model Customer Lifetime Value (CLTV) for retail clients. - Created an end-to-end pipeline using clusters, notebooks, and Data Lake in Azure Databricks for automated data aggregation, model training, optimal model selection, and future CLTV prediction for each client. ### Research Assistant @ Stanford Institute for Economic Policy Research Jan 2020 – Jan 2021 | Stanford, California, United States Working under Prof. Muriel Niederle, conducted graphical and statistical analysis of undergraduate transcript data in STATA to investigate why women do not persist in studying economics. ### Computer Science Research Intern @ Wehab Lab @ Stanford University Jan 2020 – Jan 2020 | Stanford, California, United States - Worked as part of a team of interns under Dr. Pardis Miri in the Wehab Lab to develop a vibrotactile system to assist with emotion regulation in children diagnosed with Autism Spectrum Disorder (ASD). - Signal processing: implemented algorithm to extract breathing rate estimate from blood volume pulse signal obtained through photoplethysmography (PPG). - Firmware development: wrote code in Arduino to manage Adafruit processor’s communication with iOS app over Bluetooth, manage vibration pattern data stored locally on non-volatile memory, and facilitate interaction with switches on printed circuit board (PCB). ## Education ### Master of Science - MS in Statistics Stanford University Jan 2022 – Jan 2024 ### Bachelor of Science - BS in Mathematical and Computational Science Stanford University Jan 2019 – Jan 2023 ### Campolindo High School Jan 2015 – Jan 2019 ## Contact & Social - LinkedIn: https://linkedin.com/in/aman-malhotra-024417153 --- Source: https://flows.cv/amanmalhotra JSON Resume: https://flows.cv/amanmalhotra/resume.json Last updated: 2026-03-23