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AI Engineer with less than a year in Machine Learning & Data Analytics
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AI Engineer Intern with 10 months of experience in developing and optimizing Machine Learning models using Scikit-learn and TensorFlow, improving prediction accuracy by 15%. Proven ability in performing comprehensive Exploratory Data Analysis (EDA) on large datasets and designing interactive Power BI dashboards. Skilled in Python, SQL, and various ML libraries, with experience in building RAG systems and analyzing retail data for predictive analytics.
KPR Institute of Engineering and Technology, Coimbatore
Bachelor of Engineering · Computer Science & Engineering
June 1, 2021 – May 1, 2025
Government Girls Higher Secondary School, Trichy
Higher Secondary Certificate
June 1, 2019 – May 31, 2021
Rampex Technology
AI Engineer Intern
October 1, 2024 – March 1, 2025
Chennai, Tamil Nadu, India
Quantium
Data Analyst Intern
July 1, 2024 – August 1, 2024
India
Kyungpook National University
Machine Learning Intern
November 1, 2023 – December 1, 2023
South Korea
RAG-based Resume Skill Chatbot
January 1, 2026 – Present
Built a Retrieval-Augmented Generation (RAG) system using Sentence Transformers, vector database, and Large Language Models (LLMs) for intelligent resume skill querying and matching. Improved skill-matching accuracy by 30% over keyword-based methods using cosine similarity search across a corpus of 500+ resumes.
Retail Sales and Customer Behavior Analysis
May 1, 2025 – Present
Analyzed retail sales data across 10+ product categories to identify customer behavior trends, improving data insight accuracy by 20%. Developed Tableau dashboards to track KPIs, sales performance, and profit trends, improving stakeholder reporting efficiency. Developed an interactive Tableau dashboard to analyze retail sales performance, customer behavior, and product trends.
Coffee Shop Sales Analysis
September 1, 2024 – Present
Built Power BI dashboards to monitor KPIs and sales trends across multiple product categories, enabling data-driven operational decisions. Generated actionable insights contributing to a 15% improvement in revenue forecasting accuracy. Designed end-to-end ML workflows for real-time Predictive Analytics
Introduction of Prompt Engineering
Udemy
April 1, 2026 – Present
Artificial Intelligence Programmer (NCVET)
TN Skill Corporation
January 1, 2026 – Present
Generative AI
Amazon Web Services (AWS)
September 1, 2025 – Present
Introduction to Data Analytics
Microsoft
January 1, 2024 – Present
Programming for Data Analytics
L&T EduTech
September 1, 2023 – Present
Crash Course on Python
Coursera
January 1, 2022 – Present
Exploratory Data Analysis for Machine Learning
Coursera
January 1, 2022 – Present
Cultural Fit Analysis
The candidate's academic projects and internships demonstrate a strong interest and foundational skill set in AI, Machine Learning, and Data Analytics. The diversity of projects, from RAG systems to sales analysis, indicates a broad applicability of skills. The certifications in AI and Generative AI further reinforce alignment with an AI Engineer role. The candidate appears to be proactive in learning and applying new technologies, which is a positive indicator for cultural fit in an innovative tech environment.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work on end-to-end ML workflows and improve system efficiency and accuracy, suggesting a results-oriented approach. The academic nature of projects and internships implies a strong learning aptitude and foundational understanding, which are good for operational fit in a dynamic AI environment. However, without direct interview data, specific soft skills like teamwork, problem-solving under pressure, or communication style cannot be fully assessed.