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Senior Data Scientist/Engineer | Translating Business Needs into Scalable Data Solutions | Retail & Finance | Ex-Walmart
As a Senior Data Engineer at RBC, I apply my data engineering , analytics and machine learning processing skills to design, implement, and optimize data solutions that support the bank's Avion rewards datastore and enhance customer experience. Before that I worked for world's largest retailer Walmart for the Merchant data science team .I have over seven years of experience in data-heavy roles, ranging from data engineering and analysis to business intelligence and ontology. I enjoy solving complex data problems and making an impact by delivering innovative and scalable solutions that address business challenges and opportunities. I am proficient in various tools and technologies, such as SQL, Python, tableau, ETL, Machine learning, Deep Learning, LLMs , Agentic AI. I also have a strong quantitative background, with a Master's degree in Data Science and a Bachelor's degree in Electrical, Electronics and Communications Engineering. I am always eager to learn new skills and adapt to new environments. I am currently a Canadian PR and hold US H1b visa. Book Appointments for Data Science Career coaching,1:1 and mock DS/DE interviews -topmate.io/juiguram
Worcester Polytechnic Institute
Master of Science - MS, Data science
August 1, 2016 – May 1, 2018
University of Mumbai
Bachelor of Engineering (BE), Electrical, Electronics and Communications Engineering
January 1, 2010 – January 1, 2014
Atomic Energy Central School
High School, science
January 1, 2009 – January 1, 2010
WestJet
Senior Data Engineer Lead
April 1, 2024 – Present
Self-employed
Senior Data Engineer Consultant
October 1, 2023 – April 1, 2024
Calgary, Alberta, Canada · Remote
RBC
Senior Data Science Engineer Lead
February 1, 2023 – September 1, 2023
Walmart Global Tech
Senior Data science / Engineer Lead
October 1, 2021 – February 1, 2023
Walmart Global Tech
Data Science /Engineer
January 1, 2020 – October 1, 2021
State Street
Data Engineer
January 1, 2019 – January 1, 2020
Boston, Massachusetts
Telepathy Labs
Data Analyst/ Ontologist Intern
June 1, 2018 – September 1, 2018
Boston
Seceon Inc.
Machine learning Intern(Capstone project)
January 1, 2018 – April 1, 2018
Westford, MA 01886
Parabole.ai
Machine Learning Intern/Ontologist
June 1, 2017 – December 1, 2017
New jersey
Worcester Polytechnic Institute
Graduate Assistant( ESL tutor)
November 1, 2016 – May 1, 2017
Worcester, Massachusetts
IGATE
Senior Business Intelligence Analyst
August 1, 2014 – June 1, 2016
Mumbai Area, India
IEEE STUDENT BRANCH PIIT
Vice President
August 1, 2013 – April 1, 2014
BARC
Project Trainee
July 1, 2013 – March 1, 2014
Mumbai Metropolitan Region
MTNL
Trainee
December 1, 2012 – January 1, 2013
Mumbai Metropolitan Region
Analyzing the Movielens data set using python and developing some conjectures that help build a movie recommenda tion system for the users.
October 1, 2016 – Present
Movie companies will be able to gain deeper understanding of their customers’ taste by exploring the data. In addition, they are trying to personalize their service for each individual customer by predicting their preference. Recommendation system plays a critical role in providing personalized service. Movie service providers, such as Netflix, personalize their movie recommendations for subscribers in order to better maintain customer loyalty. Electronic commerce companies, like Amazon, personalize the product recommendation for customers to sell more products. Social Media companies, like Instagram, personalize user recommendation to make customers spend more time on the website. Movie lens recommendation system predicts a list of movies a particular person may like based on high rated movies and same genres movies
Sampling twitter data with streaming API using python
September 1, 2016 – Present
Based on the latest state and national polls, the New York Time’s Upshot election model predicts there is only 25% chance Donald Trump of winning the presidency. To continue the campaign, how could Donald J. Trump win more votes? The first step to answer that question is to understand what people think and then adjust campaign strategy accordingly. The big data on twitter is the best source to find out the political issue people care the most during this presidential election. In this study, with the analysis on the twitter data, we are aiming to find out the public focus and common desire by looking for the words showing up with highest frequency, state trends and the most influential users or groups within 2016 election related tweets. The analysis results will be a good base to come up with optimal campaign strategy for Donald Trump.
Python Data Analysis
June 24, 2026 – Present
Advanced SQL for Data Scientists
June 24, 2026 – Present
Cultural Fit Analysis
The candidate has a diverse professional background spanning various industries (retail, finance, consulting, cybersecurity) and company sizes, which suggests adaptability. Their project experience, though personal, aligns with data analysis and machine learning, indicating a genuine interest in the field. The progression from Data Engineer to Senior Data Science/Engineer Lead roles demonstrates ambition and growth. However, the lack of explicit community involvement or diverse team project descriptions limits the depth of cultural fit assessment.
Soft Skills & Operational Fit
The candidate's experience descriptions highlight strong stakeholder management, team coordination, and problem-solving abilities, which are crucial for senior roles. Their work at Walmart Global Tech involved cross-functional collaboration and driving business adoption, indicating good operational fit. However, without specific psychometric test results, a deeper assessment of work attitude, stress handling, and team collaboration is not possible.