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AI Engineer with less than a year in Data Analytics & Machine Learning
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Motivated and detail-oriented professional with expertise in data analytics, machine learning, and predictive modeling. Skilled in SQL, Python, and visualization tools such as Power BI and Tableau to obtain actionable insights. Interested in applying analytical and AI-driven solutions to improve decision making and drive innovation.
Jeppiaar Institute of Technology
B.Tech · Artificial Intelligence and Data Science
October 1, 2022 – March 1, 2026
Chellammal Matric Higher Secondary School
10th Grade
N/A – May 31, 2020
Chellammal Matric Higher Secondary School
12th Grade
N/A – May 31, 2022
Zeesoft Solutions Private Limited
Software developer (Intern)
January 1, 2026 – May 1, 2026
India
VCodes
Machine Learning Intern
August 1, 2025 – October 1, 2025
India
Auriseg – Jeppiaar Institute of Technology
Cybersecurity Trainee
August 1, 2024 – January 1, 2025
India
Tata
Data Visualization Intern
May 1, 2024 – September 1, 2024
India
Time loop emulator
February 1, 2026 – June 1, 2026
Built a multi-agent AI system using an LLM (NVIDIA Nemotron-3 120B) to process real-time weather data and autonomously control smart room environment settings. Integrated Open-Meteo API for live data ingestion and decision-making by AI agents. Developed RESTful APIs using FastAPI with SQLite database integration and created a React/Three.js 3D visualization featuring dynamic lighting and real-time updates. Simulated virtual Arduino hardware (SimulIDE) via serial communication (pyserial) to reflect AI-driven actions on RGB LEDs, DC motor, and LCD display.
View ProjectCross-Language AI Dashboard for Fraud Detection
November 1, 2025 – January 1, 2026
Built a fraud detection system integrating Python for ML modeling and R Shiny for visualization. Trained a logistic regression model on transaction data that achieves an 86% F1 score. Connected Python outputs to an interactive Shiny dashboard with filters and graphs, demonstrating an end-to-end workflow across two programming languages.
View ProjectCybersecurity Fundamentals
IBM
June 1, 2026 – Present
Machine Learning and Data Science Bootcamp
Udemy
June 1, 2026 – Present
Python and Problem Solving (Basics)
HackerRank
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity, including fraud detection, multi-agent AI systems, and cybersecurity, indicates a broad interest and willingness to explore different technical domains. The personal projects demonstrate initiative and a proactive learning approach, which aligns well with an innovative and growth-oriented culture. The internships across various companies (Zeesoft, VCodes, Auriseg, Tata) also suggest an ability to adapt to different work environments. The target role of AI Engineer is well-aligned with the candidate's academic background and project experience.
Soft Skills & Operational Fit
The candidate lists problem-solving, critical thinking, communication, adaptability, and team collaboration as soft skills. The project descriptions indicate an ability to work on complex, multi-faceted problems, suggesting good problem-solving and critical thinking. The diverse range of internships and projects implies adaptability. However, without direct interview data, the actual operational fit and communication effectiveness cannot be fully assessed.