AI Engineer with less than a year in Fintech & Data Science, proficient in Python, SQL & Machine Lea
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Assessing your cultural and operational fit
AI and Data Science student with practical experience in Fintech development, including foreign exchange operations, Angular for front-end, Spring Boot for back-end, and SQL for databases. Skilled in building end-to-end data pipelines and machine learning models. Eager to apply strong problem-solving and technical abilities in real-world projects, with a foundation in web development and data analysis.
M.Kumarasamy College of Engineering
Bachelor of Technology · Artificial Intelligence and Data Science
August 1, 2020 – June 30, 2024
Malar Matric Hr Sec School
Higher Secondary · Bio-Maths
June 1, 2018 – May 31, 2020
Finzly
Trainee Engineer
August 1, 2024 – January 1, 2025
India
M.Kumarasamy College of Engineering
GCCF Student Mentor
January 1, 2022 – January 1, 2022
India
LetsGrow More Foundation
LetsGrow More Internship
January 1, 2021 – January 1, 2021
India
Telegram Support Agent
November 1, 2025 – November 1, 2025
Developed an AI-driven Telegram Support Agent enabling product queries via RAG, negotiation, and deal closure. Implemented automated email and meeting workflows powered by Agentic AI.
Loan Prediction
April 1, 2025 – May 1, 2025
Built an end-to-end ML pipeline, handled missing values, applied encoding scaling, trained models, and visualized predictions using Matplotlib. Implemented hyperparameter tuning to optimize model, improving model performance.
Retail Sales Data ETL Pipeline
September 1, 2023 – December 1, 2023
Developed an end-to-end ETL pipeline using Python, Pandas, and MYSQL to extract, validate, transform, and load retail sales data. Automated file handling, implemented data validation, used SQLAlchemy for database operations, and visualized insights using PowerBI.
Associate Cloud Engineer Certification
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects show a strong interest and foundational knowledge in AI and Data Science, aligning well with an AI Engineer role. The diversity of projects, from ETL to ML pipelines and Agentic AI, indicates a broad technical curiosity. The Trainee Engineer role in Fintech, while not directly AI-focused, demonstrates adaptability and a willingness to learn new domains (banking, front-end/back-end development). The mentorship experience suggests a collaborative spirit. The overall profile indicates a proactive learner with a good foundation for growth in an AI-centric environment.
Soft Skills & Operational Fit
The candidate's experience as a GCCF Student Mentor suggests good communication and mentoring skills. Project descriptions indicate an ability to work on end-to-end solutions and apply hyperparameter tuning, showing a problem-solving mindset. The academic projects demonstrate initiative and a structured approach to development. However, without specific psychometric test results, a detailed assessment of logical reasoning, work attitude, stress handling, and team collaboration is not possible.