
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Applied Scientist at Amazon
0. Exploring and tackling challenges in programmatic advertising using Machine Learning 1. Engineering and (Applied) Research in Natural Language Processing (NLP) with a background in Computer Science. 2. Strong fundamentals in Data Structures and Algorithms 3. Won multiple Data Science hackathons (list in profile) Career Timeline: 2022 - 2023: Switched to Amazon exploring and learning large-scale ML modeling and deployment in advertising space leveraging parallels from NLP (Language Models and Transformers) 2021-2022: Launched www.certai.com together with other colleagues to certify Robustness and Trustworthiness of AI algorithms. Switched to Amazon as Applied Scientist in advertising industry. 2020-2021: Delivered significant business value through insurance specific NLP models for Entity Extraction and Relation Extraction. Conducted novel research to improve existing entity extractors significantly. Drove the development of risk assessment of NLP applications for performance risks insurability. 2019-2020: gained (-ing) (re-)insurance domain knowledge and contributing to AI expertise (NLP) by applying appropriate methods for complex domain-specific problems at hand, as well as improving through research for maximizing the business impact.
Technical University of Munich
Master’s Degree, Informatics
January 1, 2016 – January 1, 2019
Guru Gobind Singh Indraprastha University
Bachelor’s Degree, Information Technology
January 1, 2012 – January 1, 2016
Amazon
Applied Scientist
July 1, 2022 – Present
Munich, Bavaria, Germany
Munich Re (Group)
Data Scientist (NLP)
April 1, 2019 – June 1, 2022
Munich Re (Group)
NLP Master Thesis
September 1, 2018 – March 1, 2019
Munich Re (Group)
NLP Intern
June 1, 2018 – August 1, 2018
riskmethods
Machine Learning Working Student
April 1, 2017 – April 1, 2018
Greater Munich Metropolitan Area
Samsung Electronics
Software Development Intern
April 1, 2016 – September 1, 2016
Bangalore
Data Lakes
Dell EMC
June 24, 2026 – Present
Cultural Fit Analysis
The candidate has a strong background in Applied Science and Data Science, primarily focused on Machine Learning and NLP. While these skills are highly technical, the target role is 'Data Analyst'. This represents a significant shift in focus from model development and research to data interpretation, reporting, and business intelligence. The candidate's experience is heavily skewed towards advanced ML/DL, which might be an overqualification or a mismatch for a pure Data Analyst role, potentially indicating a different career trajectory or interest. The project diversity is limited to ML/NLP applications.
Soft Skills & Operational Fit
The candidate's experience descriptions highlight problem-solving, innovation (novel research, launching certai.com), and impact (improving business processes by 10-15%). The roles at Amazon and Munich Re suggest an ability to work in complex, data-driven environments. However, specific soft skill assessments (e.g., teamwork, leadership) are not available from the provided data.