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Machine Learning Researcher
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
RPTU Kaiserslautern-Landau
Masters , Computer Science
January 1, 2019 – January 1, 2022
DISCO
Machine Learning Researcher
October 1, 2023 – Present
Gurugram, Haryana, India
ARTPARK IISC
Intern
April 1, 2023 – July 1, 2023
Bangalore Urban, Karnataka, India
Fraunhofer-Gesellschaft
Research Assistant
July 1, 2021 – January 1, 2023
Kaiserslautern, Rhineland-Palatinate, Germany · Hybrid
University of Kaiserslautern
Student Assistant
November 1, 2020 – March 1, 2021
German Research Center For Artificial Intelligence (DFKI)
Masters Project
November 1, 2020 – March 1, 2021
Kaiserslautern, Rhineland-Palatinate, Germany · Hybrid
Accenture
Application Development Analyst
July 1, 2016 – February 1, 2019
India
splunk admin certified
Splunk
June 25, 2026 – Present
splunk power user
Splunk
June 25, 2026 – Present
Cultural Fit Analysis
The candidate has a diverse background spanning academic research (Fraunhofer, University of Kaiserslautern, DFKI), internships (ARTPARK IISC), and industry roles (Accenture, DISCO). This breadth suggests adaptability to different work environments. The focus on data analysis, machine learning, and AI aligns well with a data-driven culture. However, the lack of explicit project details or team collaboration descriptions makes it difficult to fully assess cultural fit beyond technical alignment. The target role of 'Data Analyst' aligns with the candidate's core skills, but the 'Machine Learning Researcher' role at DISCO is recent and lacks details, making it hard to gauge current focus.
Soft Skills & Operational Fit
The candidate's resume indicates experience in research and project-based roles, suggesting an ability to work independently and contribute to complex analytical tasks. The descriptions of past roles, while brief, imply problem-solving and analytical thinking. However, without specific psychometric test results or interview data, a detailed assessment of soft skills like teamwork, communication, and stress handling is not possible.