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Research Assistant with 1+ years in Machine Learning & Data Processing
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Dedicated Research Assistant with experience in developing and deploying machine learning models for medical image analysis and data processing. Proficient in Python, SQL, and data visualization tools like Tableau, with a solid foundation in statistical modeling and experimental design. Proven ability to enhance system reliability through systematic testing and debugging. Eager to leverage expertise in data science and ML to drive innovation and deliver actionable insights at Gravity Engineering Services Pvt Ltd.
Technische Universität Dresden
M.Sc. · Computational Modelling and Simulation
October 1, 2022 – Present
Birla Institute of Technology and Sciences (BITS) Pilani
B.Eng. · Computer Science
August 1, 2018 – June 1, 2022
KOMET - TUD
Research Assistant
December 1, 2024 – August 1, 2025
Dresden, Saxony, Germany
National Institute for Tumour and Cancer research - NCT(DKFZ)
Research Assistant
March 1, 2024 – July 1, 2024
Dresden, Saxony, Germany
ComNets - TUD
Research Assistant
January 1, 2024 – July 1, 2024
Dresden, Saxony, Germany
GOOGLE SEARCH ADS 360
Unknown
June 1, 2026 – Present
DATA VISUALIZATION IN TABLEAU
Unknown
June 1, 2026 – Present
AWS
Unknown
June 1, 2026 – Present
BUSINESS APPLICATIONS OF DATA SCIENCE, AI, AND ML
Unknown
June 1, 2026 – Present
DIGITAL IMAGE PROCESSING
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate has experience across different research institutions (KOMET - TUD, NCT - DKFZ, ComNets - TUD), indicating adaptability to various research environments. The diverse projects, ranging from geo-spatial data platforms to medical image analysis and sensor data processing, suggest a broad interest in applying computational and ML skills, which can be a good fit for dynamic research settings. The target role 'Research Assistant' aligns perfectly with the candidate's recent work experience.
Soft Skills & Operational Fit
The candidate's resume highlights experience in team communication and documentation, suggesting an ability to collaborate and maintain project records. The iterative refinement of model workflows indicates an adaptive and problem-solving approach. However, without specific psychometric test results, a comprehensive assessment of work attitude, stress handling, and team collaboration is not possible.