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ML Engineer with 1+ years in Machine Learning & Power BI
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Results-driven Data Science graduate with hands-on experience in machine learning, NLP, IoT-integrated AI systems, and business intelligence. Proven ability to build end-to-end data pipelines, develop predictive models, and deliver real-time dashboards using Python and Power BI. Experienced in both industry internships and academic research, with a track record of applying data-driven solutions to sustainability and recruitment challenges. Actively seeking roles in Data Science, ML Engineering, or Data Analytics.
Adhiparasakthi Engineering College, Melmaruvathur
B.E. – Computer Science & Engineering (Honors in Data Science) · Computer Science & Engineering
August 1, 2021 – June 30, 2025
RC. Hr. Sec. School, Sendivakkam
Higher Secondary Certificate
June 1, 2020 – May 31, 2021
Green Technologies
Python & Data Science Trainer
March 1, 2025 – Present
Chennai, Tamil Nadu, India
VCodez – Innovating Ideas
Data Science Intern
February 1, 2025 – April 1, 2025
Chennai, Tamil Nadu, India
Blizzen Creations
AI & ML Tutor
October 1, 2024 – March 1, 2025
Chennai, Tamil Nadu, India
BullZ AI Incubation Centre
Project Intern – AI/ML & IoT
September 1, 2024 – February 1, 2025
UAE
Intelligent Waste Minimization System (AI, ML & IoT)
June 1, 2026 – Present
Developed an end-to-end AI, ML, and IoT-based system for intelligent waste minimization in manufacturing industries. Designed predictive models for real-time waste classification and resource optimization using smart sensors and automation. Delivered actionable insights through interactive Power BI dashboards, improving resource efficiency.
ATS Resume Screening & Ranking System (NLP)
June 1, 2026 – Present
Implemented an NLP-based ATS system to automate resume screening and candidate ranking against job descriptions. Applied text preprocessing, TF-IDF vectorization, and similarity scoring to identify the most relevant candidates. Reduced manual recruitment effort and improved shortlisting accuracy for HR teams.
Cash Lifting Theft Detection System (Computer Vision & YOLO)
June 1, 2026 – Present
Developed a real-time cash lifting theft detection system using YOLO (You Only Look Once) object detection to identify and alert suspicious theft activities in retail and banking environments. Trained and fine-tuned YOLO model on custom annotated datasets to accurately detect cash handling gestures, unauthorized access, and suspicious behavior with high precision and recall. Integrated real-time video stream processing and automated alert notifications to enhance security monitoring and minimize financial loss due to theft incidents.
Python Full Stack
QSpiders
June 1, 2026 – Present
Data Engineering Foundations & ML Engineer
Amazon Web Services (AWS)
June 1, 2026 – Present
Cloud Fundamentals
Oracle
June 1, 2026 – Present
Fundamentals of Deep Learning
NVIDIA
June 1, 2026 – Present
Cultural Fit Analysis
The candidate demonstrates a strong interest in AI/ML and data science through diverse academic projects (waste minimization, ATS, theft detection) and early career roles as a trainer/tutor. This indicates a proactive and learning-oriented mindset. The project diversity and exposure to various ML domains (NLP, Computer Vision, IoT) suggest adaptability and a broad technical curiosity. The target role of ML Engineer aligns well with the candidate's stated interests and project work, particularly in model development and deployment. However, the experience is primarily academic and entry-level, which might require significant mentorship in a senior-level industry setting.
Soft Skills & Operational Fit
The candidate's experience as a trainer and tutor suggests strong communication and pedagogical skills, which are beneficial for team collaboration and knowledge sharing. Project descriptions indicate an ability to work on end-to-end solutions and deliver actionable insights. However, the candidate is still pursuing a bachelor's degree, which implies limited real-world industry experience beyond internships and academic projects. The operational fit for a senior ML Engineer role might be challenging due to the early career stage.