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Java Developer with less than a year in Spring Boot and Machine Learning, skilled in backend solutio
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Detail-oriented fresher skilled in Java, Spring Boot, and cloud tools, committed to delivering clean, efficient backend solutions with strong problem-solving and team collaboration skills.
Pranveer Singh Institute of Technology
Bachelor of Technology · Computer Science and Engineering (Data Science)
N/A – June 30, 2026
Dr. Brij Kishori Dubey Memorial School
Senior Secondary · Sciences, Mathematics and Computer Applications
N/A – Present
DVA Networking and Flow Control Simulator (Java)
January 1, 2025 – December 31, 2025
Developed a network traffic simulator modeling packet traversal across a fixed topology using Java. Implemented Distance Vector (DV) algorithm to compute shortest paths and generate routing tables for each router. Enabled dynamic path cost adjustments and user-defined flows for simulating network traffic under varied conditions. Simulated packet-level movement with detailed logging of router hops, queue delays, and end-to-end latency. Utilized socket programming and multi-threading to mimic concurrent router communication and real-time packet forwarding. Applied object-oriented design principles to model routers, packets, and network links for modular, maintainable code. Managed file I/O for reading user parameters and persisting routing tables. Implemented core routing, forwarding, and flow control algorithms reflecting decentralized decision-making.
Green Thumb Garden
January 1, 2024 – December 31, 2025
Engineered a high-accuracy crop recommendation model by performing comprehensive data analysis and preprocessing on a dataset of 2200 instances with 7 key agricultural features, ensuring data quality and model readiness. Achieved a 99.8 percent accuracy with a Random Forest classifier, demonstrating strong model selection and evaluation skills, significantly outperforming baseline models (Logistic Regression: 97.0 percent, Decision Tree: 99.3 percent). Validated model robustness through a stratified 80-20 train-test split and utilized scikit-learn for model implementation, hyperparameter tuning, and performance metrics calculation. Libraries and Frameworks: Scikit-learn, Pandas, Matplotlib, Joblib. Machine Learning: Classification, Random Forest, Decision Tree, Logistic Regression, Model Evaluation, Hyperparameter Tuning.
XAV Spark Hackathon
St. Xavier's University, Kolkata
November 1, 2024 – Present
Software Track-NITS Hacks 7.0
National Institute of Technology, Silchar
September 1, 2024 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate a breadth of technical interests, from networking simulation to machine learning. Participation in hackathons (NITS Hacks 7.0, XAV Spark Hackathon) suggests an interest in collaborative problem-solving and continuous learning, which are positive indicators for cultural fit. However, the projects are primarily academic, and there is no professional experience to assess real-world team dynamics or corporate cultural alignment. The target role is 'Java Developer', and the candidate's Java project aligns well, but the strong focus on Data Science in education and one project might indicate a broader interest that may or may not align with a pure Java backend role.
Soft Skills & Operational Fit
The candidate's summary mentions strong problem-solving and team collaboration skills. Project descriptions indicate an ability to work on complex technical challenges. However, without direct interview data or psychometric test results, a comprehensive assessment of soft skills and operational fit is limited. The candidate's academic projects suggest a structured approach to problem-solving.