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Software Developer with less than a year in Java & Machine Learning
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Recent MCA graduate with strong foundations in software development, databases, and web technologies. Skilled in Java, SQL, and problem-solving with a keen interest in contributing to real-world IT projects and continuous learning.
CMR University
Master of Computer Applications · Computer Applications
January 1, 2024 – December 1, 2026
Java Quiz Application
June 28, 2026 – Present
A Java app where users answer questions and receive scores based on their responses.
Electricity Demand Forecasting (R)
June 28, 2026 – Present
An R project that predicts future electricity usage using past data and time series techniques like ARIMA and exponential smoothing.
Detection of SPAM Blogs using Machine Learning
June 28, 2026 – Present
Detection of spam blogs involves using machine learning and text analysis techniques to identify blogs that contain irrelevant, duplicate, or misleading content created for spamming purposes. It analyzes features like keyword stuffing, link patterns, posting frequency, and content quality. By training models on labeled datasets, the system can classify blogs as spam or genuine, improving online content reliability.
Credit Card Fraud Detection (Python)
June 28, 2026 – Present
A Python-based system that detects unusual transaction patterns using logistic regression and a Streamlit interface.
Blind assistant using Machine Learning
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects show a diverse interest in machine learning, web development, and data analysis, which suggests adaptability. However, the lack of professional experience and collaborative projects makes it difficult to fully assess cultural fit. The projects are primarily academic, limiting insight into real-world team dynamics or contributions.
Soft Skills & Operational Fit
The candidate highlights strong problem-solving, analytical skills, fast learning, and effective communication/team player abilities. These are positive indicators for operational fit, though they are self-reported and not validated by assessments or professional experience.