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Software Engineer with 2+ years in Machine Learning & Data Analytics
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Assessing your cultural and operational fit
Results-driven Software Engineer & Data Science Enthusiast with a strong foundation in Computer Science, Machine Learning, and Data Analytics. Skilled in Python, SQL, and Data Visualization, with hands-on experience in developing predictive models and secure network systems. Proven ability to transform complex datasets into actionable insights and build scalable, secure, and efficient solutions. Passionate about leveraging AI and data-driven strategies to solve real-world problems.
Sathyabama Institute of Science and Technology
Bachelor of Engineering (B.E) · Computer Science and Engineering
August 1, 2020 – June 30, 2024
Secure Virtual Private Network (VPN) Infrastructure
June 18, 2026 – Present
Designed and implemented a secure VPN system ensuring encrypted communication across networks. Applied advanced encryption protocols and authentication mechanisms to enhance data security. Integrated intrusion detection and monitoring systems, improving threat detection capability. Enabled secure remote access and operational continuity for organizational environments.
Heart Disease Prediction System (Machine Learning)
June 18, 2026 – Present
Built a logistic regression-based predictive model for early detection of heart disease. Performed data preprocessing and feature engineering to improve model performance. Extracted actionable insights from healthcare datasets using data mining techniques. Supported clinical decision-making through accurate and data-driven predictions.
Teaching Assistant Evaluation Classification System
June 18, 2026 – Present
Developed a machine learning classification model to predict teaching performance. Achieved 85.5% accuracy using Logistic Regression. Designed a real-time evaluation system based on historical feedback data. Improved evaluation efficiency and data-driven academic assessment processes.
Event Organizer - "Let's Learn Python" Workshop
June 18, 2026 – Present
Organized and conducted a Python programming workshop for junior students. Delivered hands-on training sessions covering core programming concepts. Managed event logistics and ensured high engagement and participation.
NPTEL Certification in Internet of Things (IoT)
NPTEL
June 1, 2026 – Present
Data Science Certification
ExcelR
June 1, 2026 – Present
Oracle Cloud Infrastructure Certification
Oracle
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity, including machine learning, network security, and educational workshops, indicates a broad interest and willingness to learn across different domains. The 'Let's Learn Python' workshop demonstrates initiative and a collaborative spirit, which are positive indicators for cultural fit. However, all projects are academic or personal, limiting insight into performance in a professional team environment.
Soft Skills & Operational Fit
The candidate demonstrates problem-solving, analytical thinking, communication, team collaboration, and time management skills through project descriptions and the workshop organization. These are valuable for operational fit in a software engineering team. However, the lack of professional work experience means these skills are primarily demonstrated in academic or personal contexts.