Software Engineer with less than a year in Machine Learning & Web Applications
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Aspiring Software Engineer with strong knowledge of Java, Python, SQL, Data Structures, and OOP. Experienced in developing web applications and REST APIs through projects and internships. Skilled in React.js, Spring Boot, MySQL, Git, debugging, and problem-solving, with a passion for building scalable software solutions. Possesses hands-on experience in data preprocessing, exploratory data analysis, and implementing machine learning algorithms for data-driven decision making and insights generation.
R.M.K College of Engineering and Technology
B.Tech · Artificial Intelligence and Data Science
August 1, 2022 – June 30, 2026
Children's Paradise Matric Hr. Sec. School
HSC
June 1, 2021 – May 31, 2022
Children's Paradise Matric Hr. Sec. School
SSC
June 1, 2019 – May 31, 2020
CodSoft
Machine Learning Intern
June 1, 2024 – July 1, 2024
India
CodSoft
Data Science Intern
January 1, 2024 – February 1, 2024
India
Predicting Medical Equipment Failure
January 1, 2026 – June 1, 2026
• Developed a data-driven web-based analytics solution for predictive maintenance using machine learning models. • Performed data preprocessing, feature engineering, and visualization to analyze equipment performance and failure patterns. • Built interactive dashboards and reports to support real-time monitoring and decision-making.
AI-Powered Resume Analyzer
January 1, 2026 – June 1, 2026
• Developed a healthcare analytics system to improve patient outcomes and healthcare efficiency. • Applied machine learning techniques to analyze healthcare data and identify patterns in patient care. • Focused on reducing hospital readmission rates and improving outreach effectiveness through data-driven insights.
View ProjectPython for Data Science
NPTEL
June 1, 2026 – Present
AI Foundation Certification
Infosys Springboard
June 1, 2026 – Present
Oracle AI Vector Certification
Oracle
June 1, 2026 – Present
Design Thinking – A Primer
NPTEL
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects and internships are primarily focused on AI/ML and data science, which aligns with a data-driven culture. The mention of 'AI-Powered Resume Analyzer' and 'Predicting Medical Equipment Failure' shows an interest in applying technology to solve real-world problems. However, the experience is limited to academic and virtual internship settings, which may not fully reflect adaptability to diverse corporate environments or complex team dynamics. The breadth of skills is good for an entry-level role, but the depth in specific areas like full-stack development or advanced system design is yet to be proven.
Soft Skills & Operational Fit
The candidate demonstrates problem-solving and analytical thinking skills through project descriptions. The academic background in AI and Data Science, coupled with internships, suggests a structured approach to learning and application. However, the short duration of internships (1 month each) limits the depth of operational experience. The candidate's focus on individual projects rather than team-based work in the descriptions makes it difficult to assess collaboration skills.