Shubham is a highly skilled and motivated data scientist, with a Master's degree in Computer Science from Arizona State University. He specializes in working with big data platforms and ML & cloud tech stack, and has a strong understanding of data structures and algorithms.
With 3.5 years of experience as a software engineer, Shubham has worked on successful projects in software development, big data, machine learning, and database management. He is looking for full-time opportunities in the US to further his career in the data science domain.
Shubham is known for his ability to adapt quickly to new environments and his dedication to continuous learning. He is a proficient communicator in two regional and two foreign languages.
Currently, he is working as a Software Engineer 3 (ML) at Walmart Labs, where he continues to excel and contribute to the development of cutting-edge technologies.
Feb 2023 - Presentc
1. Working on demand forecasting and inventory replenishment team involving techstack: GCP, Python, Java spring boot, Azure, ETL tools.
June 2022 - Feb 2023
1. Performed the ETL operations on incoming credit and hotel room booking data using AWS tools. 2. Worked on Pythom and extensively in AWS Cloud services.
Feb 2020 - June 2022
1. Performed the transition of banking application from legacy systems to cloud servers. 2. Worked on Java, Spring boot as well as Cloud services.
August 2019 - Dec 2019
1. Worked on e-commerce customer retention system. 2. Worked on pipeline building, data processing & analysis, feature engineering, modeling.
June 2019 - August 2019
1. Worked extensively in SQL, JAVA, and Database management system technologies. 2. Developed a Java web service to connect and perform database transition to IBM FileNet.
November 2017 - August 2018
1. Developed and managed Hadoop clusters using Hortonworks and Cloudera data platforms. 2. Performed data cleaning and data analysis using Python. 3. Worked on Apache spark, hive, Kafka and various big data tools.
Aug 2018 - May 2020
GPA 3.86/4.00
Pursuing Master of Computer Science with special focus on data science domain.Successfully completed courses like data mining, distributed database management, foundation of algorithms.
July 2013 - June 2017
GPA 3.50/4.00
Successfully completed all coursework. Participated in various hackathons. Organized and managed technical events for ACM.
Dec 2018 - Jan 2019
Following coursework was covered:Google Cloud Platform Big Data and Machine Learning Fundamentals, Modernizing Data Lakes and Data Warehouses with GCP, Building Batch Data Pipelines on GCP, Building Resilient Streaming Analytics Systems on GCP, Smart Analytics, Machine Learning, and AI on GCP, Preparing for the Google Cloud Professional Data Engineer Exam.
April 2018 - August 2018
Constructed Dog-Breed Classifier using CNN. Generated TV scripts using RNN. Implemented project Generate Faces using GAN.
My passion and goal is to help you make your business standout.
I am Experienced and involved in end to end software development cycle. Worked on OOP concepts as well as agile development. Specialist in modifying the software to fix errors, adapt it to new hardware, improve its performance, or upgrade interfaces, directing system testing and validation procedures, directing software programming and documentation development.
I have Worked with massive amounts of digital data (Web, App, API) and sophisticated tools in an industry-leading Big Data environment. Also Built everything from basic reports to advanced machine learning models to drive improvements to our customer’s online and mobile app experiences. And Built, tuned, deployed, and monitored real-time scoring solutions that are used for digital campaign audience targeting, channel optimization, and site optimization.
I have used Python, Java, C++ extensively for both industrial as well as academic projects. I have experience in coding and debugging as well as designing and testing computer software. Also writing computer instructions, managing database systems, maintaining operating systems and editing source-code.
I'm good at defining Go-To-Market strategy, defining the product vision, positioning, pricing, and promotion, Had P&L responsibilities for a defined segment or product portfolio in the past. Also good at Providing market and technology research and competitive analysis to progress company product and technology strategy that integrates market knowledge, strategic insight, and a strong user focus to help the organization create great products.
I have completed the following objectives during my overall work experience: Met daily deadlines to provide time-sensitive customer and operational feedback to clients on my first project in a company. Met with clients to maintain communication to enhance teams' execution on new products and delivered work reports to the manager regularly. Facilitated and ensured good communication of all information relayed by my team members.
I have worked in d3.js as well as tableau during my academic projects. I have built Tableau based data sources self-serviced reporting, dashboards/reports and designed as well implemented new enhancements. In academics coursework I worked on data visualization project.
Here are some of my selected projects I have done lately. Feel free to check them out.
ASU Sunhacks 2018 Winner
a. Built detection algorithms run on the cameras installed in open spaces, particularly in elderly homes. It fires up alerts once a fall of a person has been detected. b. Integrated the entire tech pipeline to the Google Cloud. c. Used Google cloud, Auto ML, Ngnix, MongoDB, Flask, Docker to build the tech stack of application. d. Won best Iot project and MHL best project award in 36 hours hackathon organized by Sunhacks.
ASU Sunhacks 2019 Winner
a. It's a smart tool which automates the process of adding calendar events manually. b. Imagine that you want to attend a conference and after checking website there are 10-20 events per day, instead of adding everything manually to calender our tool scrapes that calendar table and automatically adds all the events. c. It has a dashboard where you can manage all the events and edit them. d. Tech stack consist of UI- Path, Google calender API and bootstrap.
Machine Learning
a. built the algorithm to identify an image of a dog and classify it according to its breed. b. Processed a pipeline to process real-world using CNN on user-supplied images. c. explored and implemented state-of-the-art CNN models for classification. d. pieced together a series of models designed to perform various tasks in a data processing pipeline.
I'm happy to connect, listen and help. Let's work together and build something awesome. Let's turn your idea to an even greater product. Email Me.