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Software Engineer 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
Motivated and adaptable fresher aiming to start a career in Software Engineering, with a strong foundation in programming and problem-solving.
D.R.M.G.R Educational and research Institute
B-tech · Computer Science
August 1, 2021 – June 30, 2025
St.gabriel's higher secondary school
Higher Secondary
June 1, 2019 – May 31, 2021
Shebha matriculation higher secondary school
Secondary
N/A – May 31, 2019
House price prediction using Java
June 19, 2026 – Present
Developed a house price prediction system using Java, leveraging machine learning algorithms like Linear Regression and Random Forest. Implemented data preprocessing techniques such as missing value handling, categorical encoding, and normalization. Performed feature engineering to enhance predictive performance. Utilized Java ML libraries (Weka/Deeplearning4j) for model training and evaluation. Assessed model accuracy using MAE and RMSE metrics. Gained hands-on experience in end-to-end machine learning pipeline development using Java.
Sentimental Analysis of YouTube Comments
June 19, 2026 – Present
Designed and implemented a sentiment analysis system for YouTube comments using Java and Spring Boot. Integrated the YouTube Data API to retrieve real-time comments from videos. Leveraged NLP techniques and external ML APIs to classify sentiments into positive, negative, and neutral categories. Generated aggregated sentiment reports and visual dashboards to provide actionable insights for content creators. Gained hands-on experience in REST API integration, backend development, and deploying machine learning solutions in a production-like environment.
House price prediction
9th National conference
May 1, 2024 – Present
Database management system
NPTEL
January 1, 2024 – Present
Python Bootcamp
Coding Club
August 1, 2023 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate an interest in applying technical skills to solve practical problems (e.g., house price prediction, sentiment analysis). Participation in certifications and coordination roles indicates a proactive learning attitude and engagement, which aligns with a growth-oriented culture. The breadth of skills, though basic in some areas, shows a willingness to explore different technologies. However, the lack of professional experience limits the depth of this assessment.
Soft Skills & Operational Fit
The candidate's role as 'Overall Student Coordinator' suggests organizational, leadership, and coordination skills. The project descriptions indicate an ability to work on structured tasks and integrate different technologies. However, without specific work experience, it's difficult to fully assess operational fit in a professional software engineering environment.