Shubham Bansal Email and Phone Number
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I'm a Full Stack Machine Learning Engineer / Manager with 8+ years of experience in machine learning and statistical modeling in the software industry. I focus on designing, building, and deploying scalable Machine Learning systems and solutions to solve ill-defined business problems. I've experience leading end-to-end machine learning projects, and can deliver everything ranging from the initial business justification to a fully functional deployed model making real-time inference.I'm a strong research professional with a Master of Science - MS focused in Computer Science and Statistics - Machine/Deep Learning from University of Illinois at Urbana-Champaign. Languages:Python, R, Bash, SQL, C++ Machine Learning concepts:Feature Selection and Dimensionality Reduction, Regression, Clustering, Classification, Bayesian Learning, Ensemble Methods, Artificial Neural Network, Model Selection and Assessment, Exploratory Data Analysis, Data Wrangling, Information Visualization, Language Modeling, Topic Modeling Tools/IDEs/Frameworks:RStudio, Git, Jupyter, Tableau, MS Office, Anaconda, TeXShop, Elasticsearch Libraries/Packages:NumPy, Pandas, scikit-learn, BeautifulSoup, Selenium, Requests, Matplotlib, ggplot2, Seaborn, Plotly, XGBoost, Keras, OpenAI Gym, spaCy, NLTK, tidyverse, dplyr, Glmnet, Hmisc, R Shiny Databases:MySQL, MongoDB, Neo4j
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Manager, Applied Machine Learning, Aiml Products And PlatformsVisaCalifornia, United States -
Manager, Applied Machine Learning, Global Ai And Data InnovationVisa Dec 2021 - PresentFoster City, California, Us
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Senior Engineer, Applied Machine LearningWalmart Labs Dec 2020 - Dec 2021Bentonville, Arkansas, Us -
Senior Engineer, Applied Machine LearningWayfair Jul 2019 - Dec 2020Boston, Ma, UsPromotional Product Recommendations 1. Generated 1.5M/3M USD annual profit/revenue by improving product-level demand estimates using a LightGBM regression model to curate a set of winning products from 20 million+ total products on Wayfair; Used Spark-SQL and Airflow to query data from Hive/SQL servers and persist it as tables on the server2. Saved 1.5M USD worth of annual investment by adapting a Negative Binomial Regression model (predicting product-level marginal-demand-lift resulting from promotional exposure) to various market domains via Transfer Learning and Bayesian Inference; Used Spark-SQL to collect, engineer and pre-process data from Hive/SQL servers Gamification and Pricing Do-It-Yourself 1. Developed an ensemble framework in Python to estimate product-level marginal lift in demand (resulting from price reduction) using Autoregressive (trained using Ordinary Least Squares) and Constant Elasticity models; Used Jenkins and Python to Sqoop tables from SQL server to Hive server on a daily cadence 2. Used above ensemble model to capture highest profit making products to be shown to suppliers for further wholesale cost reduction in the Gamification User Interface; Generated an approximate annual profit impact of 8.5M USD -
Deep Learning ResearcherFirefly Jun 2019 - Jul 2019New York, Ny, Us1. Enhanced Object/Face Detection Deep Neural Networks’ real-time performance on NVIDIA Jetson TX2 for various input resolutions using Python, TensorFlow and OpenCV 2. Improved network latency, throughput and inference time significantly by optimizing matrix operations in Deep Neural Networks using TensorRT 5.0 -
Graduate Research AssistantUniversity Of Illinois At Urbana-Champaign Jan 2019 - Jul 2019Champaign, Il, Us -
Graduate Teaching AssistantUniversity Of Illinois At Urbana-Champaign Aug 2017 - Dec 2018Champaign, Il, UsGraduate Teaching Assistant for :FIN 571 (Retirement Policy)FIN 435 (Personal Wealth Management)FIN 434 (Employee Benefit Plans)PHYS 211 (Introduction to Mechanics)SE 100 (Introduction to ISE)BADM 352 (Database Design and Management)Responsibilities:1. Graded Assignments, Midterm, Final Exam, and Project 2. Developed curriculum & teaching materials including exams, projects, & homework assignments3. Administered online feedback and quizzes4. Organized & lead lab/discussion groups in a course setting5. Managed Compass (Course) website & grade sheets to keep track of student progress6. Administered in-class activities7. Proctored midterms, final exam8. Taught classes & held office hours to ensure students understand course concepts9. Guided groups on projects for a class of nearly 120 students
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Deep Learning ResearcherInspirit Iot Jan 2019 - May 2019Champaign, Illinois, Us1. Achieved up to 25x parameter compression on Object/Face Detection Deep Neural Networks viz. MobileNet-SSD, MTCNN via algorithmic pruning and quantization without loss in inference quality 2. Optimized pre-compressed Deep Neural Networks via TensorRT to achieve up to 15x throughput improvement on NVIDIA Jetson TX2 -
Deep Learning ResearcherInference Analytics, Inc. May 2018 - Dec 2018Chicago, Il, UsImplemented a two-layered bidirectional RNN with LSTMs on the input data and two layers, each with an LSTM using bahdanau attention on the target data to summarize radiology reports for medical diagnosis and salient findingsHaving worked with unstructured data in a variety of industries, we realized that healthcare has the most amount of valuable unstructured data. It is data that can help improve outcomes for patients, it is data that can help reduce costs and inefficiencies for care providers. Our mission at Inference Analytics is to use Artificial Intelligence and Advanced Analytics so care providers can focus on providing care and not worry about entering lengthy documentation and narratives about patients. By spending more time in focusing on patients as opposed to administrative tasks, patients and care providers will gain tremendous benefits.
Shubham Bansal Skills
Shubham Bansal Education Details
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University Of Illinois Urbana-ChampaignComputer Science And Statistics -
Motilal Nehru National Institute Of TechnologyBachelor Of Technology - Btech
Frequently Asked Questions about Shubham Bansal
What company does Shubham Bansal work for?
Shubham Bansal works for Visa
What is Shubham Bansal's role at the current company?
Shubham Bansal's current role is Manager, Applied Machine Learning, AIML Products and Platforms.
What is Shubham Bansal's email address?
Shubham Bansal's email address is sh****@****ors.com
What is Shubham Bansal's direct phone number?
Shubham Bansal's direct phone number is +121790*****
What schools did Shubham Bansal attend?
Shubham Bansal attended University Of Illinois Urbana-Champaign, Motilal Nehru National Institute Of Technology.
What are some of Shubham Bansal's interests?
Shubham Bansal has interest in Psychology, Programming, Sudoku, Table Tennis, Gadgets, Reading, Writing Stories And Articles, Digital Photography, Philosophy.
What skills is Shubham Bansal known for?
Shubham Bansal has skills like C, Matlab, Team Management, Programming, Engineering, Manufacturing, Algorithms, C++, Automotive, Html, Sql, Six Sigma.
Who are Shubham Bansal's colleagues?
Shubham Bansal's colleagues are Ajay Kumar, Melanie Kirton, Cesar Rebollar, Hakim Bouakkache, Nabarun Paira, Dien Truong, Javier Trout Contreras.
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