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Functional Analyst at ING
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
KU Leuven
Master of Science - MS, Artificial Intelligence
January 1, 2017 – January 1, 2018
Université Jean Monnet Saint-Etienne
Masters in Computer Science, Machine Learning and Data Mining
January 1, 2016 – January 1, 2018
National Institute of Technology Rourkela
Bachelor of Technology (B.Tech.), Computer Science and Engineering
January 1, 2010 – January 1, 2014
ING
Customer Journey Expert
July 1, 2025 – Present
Brussels, Brussels Region, Belgium
McKinsey & Company
Senior Product Analyst
April 1, 2023 – April 1, 2025
Brussels Region, Belgium
McKinsey & Company
Product Analyst
April 1, 2022 – April 1, 2023
Brussels Region, Belgium
World Food Programme
Data Scientist
September 1, 2020 – March 1, 2022
Rome, Latium, Italy
AW Europe
Data Scientist
March 1, 2020 – September 1, 2020
Belgium
SWIFT
Data Engineer
November 1, 2018 – December 1, 2019
Belgium
EURA NOVA
Data Scientist
October 1, 2018 – September 1, 2020
Brussels Metropolitan Area
Nokia Bell Labs
Machine Learning Intern
March 1, 2018 – August 1, 2018
Greater Paris Metropolitan Region
DataCamp
Data Science Community Writer
October 1, 2017 – December 1, 2020
Leuven, Belgium
École des Mines de Saint-Étienne
Research And Development Intern
March 1, 2017 – August 1, 2017
Greater Saint-Etienne Metropolitan Area
Lazada Group
Business Intelligence Developer
December 1, 2015 – May 1, 2016
Ho Chi Minh City, Vietnam
Samsung Electronics
Software Engineer
July 1, 2014 – December 1, 2015
Triip Inc
Engineer Intern
May 1, 2013 – July 1, 2013
Ho Chi Minh City, Vietnam
Sasto Deal Pvt. Ltd.
Business Development Intern
June 1, 2012 – July 1, 2012
Kathmandu, Nepal
MySmartPrice.com
Intern (Research - Machine Learning)
May 1, 2012 – June 1, 2012
Cultural Fit Analysis
The candidate's career trajectory shows a strong inclination towards data-driven roles, aligning well with a Data Analyst position. Experience in both corporate (McKinsey, ING, Samsung) and non-profit (World Food Programme) sectors, along with consulting experience (EURA NOVA), demonstrates adaptability to different organizational cultures. The breadth of skills from machine learning to business intelligence and product analysis suggests a versatile individual who can contribute to diverse projects. The multiple Master's degrees also indicate a commitment to continuous learning and academic rigor.
Soft Skills & Operational Fit
The candidate's diverse experience across different companies (ING, McKinsey, WFP, SWIFT, Nokia Bell Labs) and roles (Data Scientist, Data Engineer, Product Analyst, Customer Journey Expert) suggests adaptability and a broad operational fit. Descriptions of leading collaborations and developing monitoring tools indicate potential for teamwork and operational awareness. However, without specific psychometric test results or interview data, a definitive assessment of soft skills like stress handling or team collaboration is not possible.