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Senior Data Scientist/ Artificial Intelligence Business Advisor at Lufthansa Industry Solutions - Frankfurt, Germany.
A Detail-oriented technocrat with strong analytical skills with over 7 years of expertise in Data Analysis, Data Management, and Machine Learning development. I have practical experience in developing and maintaining sophisticated interactive visualizations based on data interpretation and analysis, as well as integrating various reporting components from a variety of data sources. I am successfully leading, migrating technology, and delivering data, analytics, statistics, and Machine Learning initiatives. I have exhibited hands-on expertise in establishing large-scale Data Science methods and teams. I have proven experience utilizing Machine Learning, Deep Learning, and good programming skills to turn unstructured data into structured data. I have consistently spearheaded transitioning technologies, and delivered projects for better decision making in data, analytics, statistics, Machine Learning, and Artificial Intelligence (AI).
Frankfurt School of Finance & Management
Certified AI Business Advisor, Business Innovation in AI, Analytics project Management
January 1, 2019 – January 1, 2019
RPTU Kaiserslautern-Landau
Master’s Degree, Computer Science (Machine Learning, Data Science)
January 1, 2015 – January 1, 2017
West Bengal University of Technology, Kolkata
Bachelor of Technology (B.Tech.), Computer Science
January 1, 2008 – January 1, 2012
Lufthansa Industry Solutions
Senior Data Scientist/ AI business Advisor
March 1, 2018 – Present
Frankfurt Am Main Area, Germany
Bosch Power Tools
Data Scientist/ Machine Learning (Intern & Thesis)
July 1, 2017 – December 1, 2018
Stuttgart Area, Germany
Deutsches Forschungszentrum für Künstliche Intelligenz (DFKI)
Innovation/ Data Scientist (work student)
February 1, 2016 – February 1, 2017
Kaiserslautern, Germany
IBM
Application Developer (Machine Learning)
October 1, 2014 – September 1, 2015
Wipro Ltd. - India
Software Engineer (Data Science)
November 1, 2012 – July 1, 2014
Macroeconomic Diagnostics
International Monetary Fund
June 24, 2026 – Present
Python and Statistics for Financial Analysis
The Hong Kong University of Science and Technology
June 24, 2026 – Present
Macroeconometric Forecasting
International Monetary Fund
June 24, 2026 – Present
Data Science Visualizations
HarvardX - An Online Learning Initiative by Harvard University through edX
June 24, 2026 – Present
Microsoft Certified: Azure Data Scientist Associate
Microsoft
June 24, 2026 – Present
Applying Data Science in Finance
University of Illinois Urbana-Champaign
June 24, 2026 – Present
Microeconomics
MITx Courses
June 24, 2026 – Present
AI Business Advisor
Frankfurt School of Finance & Management
June 24, 2026 – Present
ORACLE Certified Java Programmer (OCJP)
Oracle
June 24, 2026 – Present
Cultural Fit Analysis
The candidate's experience is heavily concentrated in Data Science, Machine Learning, and AI, with roles spanning various industries (aviation, manufacturing, research, IT services). This demonstrates adaptability and a broad understanding of applying AI/ML in different business contexts. However, the target role is 'Frontend Developer', which is a significant mismatch with the candidate's documented experience and skills. This lack of alignment severely impacts cultural fit for a frontend-specific role.
Soft Skills & Operational Fit
The candidate's resume highlights roles involving business advisory and project management, suggesting strong communication and leadership potential. Experience in improving process efficiency and brainstorming new business use cases indicates a proactive and problem-solving mindset. However, without psychometric test results, a definitive assessment of work attitude, stress handling, and team collaboration is not possible.