Name: K. PRIYANKA
Mobile number: 822*******
G-mail id: kumarpriyanka0605@gmail
CAREER OBJECTIVE
Fresher Machine Learning Engineer with hands-on project experience in python and Machine Learning,looking to contribute to data -driven solutions while learning and growing professionally. EDUCATION
BE - Electrical and Electronics Engineering
MRK Institute of Technology, Anna University
2020 - 2024 CGPA : 8.16 / 10
HSC - State Board Government Hr Sec School
2019 - 2020 58 %
SSLC - State Board Government Hr Sec School
2017 - 2018 60%
CERTIFICATIONS
Master Program in Data Science & Data Analytics (Machine Learning) Cloud Computing (Fundamentals)
Zenjade Automation Technology Pvt Ltd,Chennai
Aug 2024 - Apr 2025
TECHNICAL SKILLS
Python, Machine Learning,SQL, Pandas, NumPy, Scikit-learn, Power BI, Tableau AWS (EC2, S3, IAM), GCP (Basics), Deep Learning (Basics) PROJECT TITLE
USER BEHAVIOR ANALYTICS FOR INSIDER THREAT DETECTION Analyzed user activity data to identify deviations from normal behavior.Built anomaly detection models using Machine Learning techniques.Performed data preprocessing and feature engineering using Python .Identified potential insider threats based on abnormal patterns CREATE SECURE CLOUD SQL INSTANCES WITH BACKUPS AND IAM Created a secure Cloud SQL Instance with IAM-based authentication and access control .Configured automated and on -demand backups to ensure data availability and recovery .Managed user permissions using IAM roles for secure database access .implemented best practices for cloud security and backup management IOT BASED RAILWAY TRACK FAULTS DETECTION AND GATECONTROL MANAGEMENT Rail is one of the most energy efficient and economical modes of transportation among many.Regular inspection of railway track health is essential for ensuring robust and secure train operations.Investigations and delayed discovery pose a serious risk to the safe functioning of trail transportation
LANGUAGES
Tamil
English
ACHIEVEMENTS
NLC india limited
Paper presentation in st Anne’s Engineering College in IOT based railway fault detection and gate control management system