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Senior Data Engineer at EY
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Experienced profession with a demonstrated history of working as Data Engineer and Data Scientist. Skilled in Statistical Modeling, Apache Kafka, Apache Spark, Predictive Analytics, and DeepLearning. Strong information technology professional with a AI NANODEGREE focused in Artificial Intelligence from Udacity.
Udacity
AI NANODEGREE, Artificial Intelligence
January 1, 2017 – January 1, 2018
Royal Holloway, University of London
Master’s Degree, Machine Learning
January 1, 2015 – January 1, 2017
BIT Mesra Student-Industry Relations Cell
B.E., Electronics and communication
January 1, 2008 – January 1, 2012
Royal Holloway, University of London
Master of Science (MSc), Machine learning
N/A – Present
EY
Senior
September 1, 2018 – Present
London Area, United Kingdom
AMPP Group
Machine Learning Engineer
October 1, 2017 – December 1, 2017
London Area, United Kingdom
Triometric
Data Scientist
July 1, 2016 – June 1, 2017
Egham , London
Sapient Global Markets
Associate Technology
January 1, 2013 – August 1, 2015
Equity Trading Application
May 1, 2013 – Present
A web-application to automate the core functionalities of Portfolio Manager, Execution Trader, and Broker/Exchange, for equity trading process. Platform – Java-based Web Application Technologies used – Java, J2EE, Spring, Hibernate, HTML, XML, CSS, AJAX, JavaScript, jQuery, MySQL
Lunar Regolith Excavator
May 1, 2010 – May 1, 2012
The project was to design a Lunar Regolith (Moon Soil) Excavator with telerobotic and autonomous operations capability, keeping in mind the conditions on the moon. The basic purpose of the Regolith Excavator was to collect maximum possible amount of Regolith from one specified location to another under time,energy and dimension constraints. The Project was successfully selected to participate in NASA's 2nd and 3rd Annual Lunabotics Mining Competition-2011 and 2012, held at Kennedy Space Center, Florida, USA. Was part in design and fabrication process and involved in every life cycle of the project from development to testing to execution process. The team was ranked 21 among 55 competing teams across the world
Artificial Intelligence Nanodegree
Udacity
June 24, 2026 – Present
R programming
Coursera
June 24, 2026 – Present
Data Scientist's Toolbox
Coursera
June 24, 2026 – Present
Machine Learning
Coursera
June 24, 2026 – Present
Getting and Cleaning Data
Coursera
June 24, 2026 – Present
Cultural Fit Analysis
The candidate's experience spans diverse domains including robotics, finance, and B2B matching, indicating adaptability. The target role of 'Data Analyst' aligns well with their background in data extraction, manipulation, and machine learning applications. The breadth of education and certifications in AI/ML suggests a continuous learning mindset. However, the projects listed are personal and older, and the most recent role at EY lacks a detailed description, making it harder to fully assess current cultural alignment.
Soft Skills & Operational Fit
The candidate's project descriptions indicate involvement in full project lifecycles and team collaboration (e.g., NASA Lunabotics competition). Experience in client-facing roles (Sapient Global Markets) suggests problem-solving and communication skills. However, specific soft skill assessments are not available.