AI Engineer with less than a year in Machine Learning & Robotics
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Highly motivated Biomedical Engineering student with practical experience in machine learning model development, data preprocessing, and evaluation. Proficient in Python, Java, SQL, and various data science libraries. Possesses hands-on experience in hardware design, integration, and testing of electro-mechanical systems. Proven ability to collaborate with multidisciplinary teams and manage projects effectively, with a strong commitment to sustainable solutions.
PSNA College of Engineering and Technology
B.E · Biomedical engineering
August 1, 2022 – June 30, 2026
SPVM Matriculation higher secondary school
High school (XII)
N/A – May 31, 2022
IIT MADRAS RESEARCH PARK
HASHTIC (B.E / Tech leads: Mr.Akilan, Mr.Sriharan)
July 1, 2024 – October 1, 2024
Chennai, Tamil Nadu, India
Codsoft
CODSOFT (BE)
June 1, 2024 – Present
India
Project 2: Telecom Customer Churn Prediction
July 1, 2025 – July 1, 2025
Built a machine learning model to predict telecom customer churn using Python and evaluated Decision Tree, Random Forest, and XGBoost classifiers. Performed data preprocessing, feature encoding, and model evaluation using metrics such as Accuracy, Precision, Recall, F1-Score, and AUC.
Project 1: Bank Management System
May 1, 2023 – May 1, 2023
Developed a Bank Management System.
Cultural Fit Analysis
The candidate's academic projects and internships show a breadth of interests, from traditional software development (Bank Management System) to machine learning (Telecom Churn Prediction) and even mechanical/electronic systems (HASHTIC). This diversity suggests an adaptable individual open to different technical challenges. The involvement in clubs (AWS CLOUD CLUB, BUILD CLUB) indicates a willingness to engage with the academic community and potentially collaborate. However, the primary focus on academic projects and internships, without significant professional experience, means cultural fit is largely inferred from these activities.
Soft Skills & Operational Fit
The candidate's internships at HASHTIC and Codsoft suggest an ability to work in team environments and contribute to projects. The HASHTIC internship involved multidisciplinary collaboration and project management, indicating some organizational and teamwork skills. However, the descriptions are brief, limiting a deeper assessment of operational fit.