Help & Supportcareers@gravityer.com
Java Backend developer with less than a year in Spring Boot, RESTful APIs & Data Analytics
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Highly motivated Software Engineer with hands-on experience in Java, Spring Boot, RESTful APIs, and relational databases, complemented by strong exposure to data analytics, visualization, and frontend development. Proven ability to design scalable backend systems, build clean and secure APIs, and translate business requirements into reliable technical solutions. Demonstrates strong ownership across projects, attention to clean code, and a continuous interest in building user-centric, high-quality applications.
College of Engineering Bhubaneswar
Master of Computer Applications (MCA)
August 1, 2021 – June 30, 2023
Mindbrain Innovation Pvt. Ltd.
Frontend Development Intern (MERN Stack)
December 1, 2025 – May 31, 2026
India
IPL Auction Data Analysis
June 1, 2026 – Present
Analyzed IPL auction datasets using joins, subqueries, aggregations, and window functions. Extracted insights on player valuation, team spending behavior, and auction trends. Focused on query accuracy, optimization, and meaningful data interpretation.
Hotel Booking Platform – Backend System
June 1, 2026 – Present
Designed and developed a scalable hotel booking backend supporting user management, room availability, and booking workflows. Built RESTful APIs using Spring Boot following layered architecture (Controller–Service–Repository). Implemented JWT-based authentication and authorization, ensuring secure access to application endpoints. Designed normalized MySQL database schemas and optimized queries for booking consistency and performance. Implemented validation logic and exception handling to prevent duplicate bookings and ensure data integrity. Deployed backend services on AWS EC2 and utilized AWS S3 for storage needs. Took ownership of backend logic, code quality, and API reliability throughout the project lifecycle.
Machine Learning Predictive Analysis
June 1, 2026 – Present
Implemented machine learning models including Linear Regression, Logistic Regression, KNN, Decision Trees, and LDA. Performed data preprocessing, feature selection, and model evaluation. Gained strong foundational understanding of predictive modeling and algorithm behavior.
Fitness Activity Analysis Dashboard
June 1, 2026 – Present
Analyzed fitness tracking data to identify trends in steps, calories, distance, and activity levels. Cleaned and transformed raw datasets using advanced Excel formulas and pivot tables. Designed an interactive dashboard that presents insights clearly for non-technical users. Demonstrated strong analytical thinking and data-driven decision-making skills.
Sales Analytics Dashboard – Bike Shop
June 1, 2026 – Present
Built a visually interactive Tableau dashboard to analyze bike shop sales performance. Delivered product-wise, region-wise, and time-based sales insights. Designed dashboards with dynamic filters and KPIs to support business decision-making.
SQL Training
Internshala
June 1, 2026 – Present
Tableau Training
Internshala
June 1, 2026 – Present
Industrial IoT
NPTEL (IIT Kharagpur)
June 1, 2026 – Present
Advanced Excel Training
Internshala
June 1, 2026 – Present
Machine Learning with Python
Internshala
June 1, 2026 – Present
General Aptitude Training
Internshala
June 1, 2026 – Present
Cloud Computing
NPTEL (IIT Kharagpur)
June 1, 2026 – Present
Management Information Systems
NPTEL (IIT Kharagpur)
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects show a diverse interest in backend development, data analysis, and some frontend exposure. This breadth of interest, combined with certifications in various technical areas, suggests a proactive and curious individual. The target role is Java Backend Developer, and the primary project aligns well. The candidate's willingness to explore different technical domains indicates adaptability and a potential for cross-functional contributions, which can be a positive cultural fit.
Soft Skills & Operational Fit
The candidate demonstrates strong project ownership, attention to clean code, and an analytical problem-solving mindset. Their interest in continuous learning and adaptability across technologies suggests a good operational fit for dynamic development environments. The ability to work across backend, frontend, and data-driven tasks indicates versatility.