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AI Engineer with 1+ years in Data Science, ML/DL & Web Development
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Aspiring software Engineer, certified in Google analytics, Data Science, AI specialization course from Google, IBM. I'm MCA post graduated (2022), proficient in Python, UI/UX, Data engineering, analysis, AI. Fortitude in adeptly handling object oriented programming and API integration all while prioritizing Agile, SDLC
T.K.M College of engineering
Master of Computer Application
August 1, 2018 – June 30, 2022
UIT Kottarakkara
Bachelor of Computer Application
August 1, 2015 – June 30, 2018
ISRO
Training (Remote)
September 1, 2024 – Present
India
Byju's
Business development Associative
February 1, 2024 – May 1, 2024
Bengaluru, Karnataka, India
Logiprompt Techno Solutions India(P) Ltd
Web developer (Intern)
September 1, 2017 – March 1, 2018
Thiruvananthapuram, Kerala, India
Project Management Foundations
Unknown
June 1, 2026 – Present
SQL and Relational database
IBM
June 1, 2026 – Present
Generative AI
Microsoft
June 1, 2026 – Present
Processing via Python & ML
ISRO
June 1, 2026 – Present
Google analytics
June 1, 2026 – Present
Java, Python
Sololearn
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's diverse experience, including web development, business development, and current AI/ML training at ISRO, suggests adaptability and a willingness to explore different domains. The listed interests like 'Learn new things' align with a growth mindset. However, the lack of detailed project descriptions or team collaboration examples makes it challenging to fully assess cultural fit beyond a general openness to learning and varied experiences.
Soft Skills & Operational Fit
The candidate's resume mentions 'Project mgnt, Agile, ERP' and 'Problem solving', indicating an understanding of project methodologies and problem-solving skills. The 'Business development Associative' role at Byju's suggests experience in market analysis and BI tools, which could translate to analytical thinking. However, the descriptions are brief, making it difficult to assess the depth of these soft skills or their direct operational fit for a senior AI Engineer role.