Help & Supportcareers@gravityer.com
Software Engineer with 1+ years in Python, 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
Highly motivated and results-driven individual with 1.3 years of combined experience in software development, machine learning, and data science. Proficient in Python, Java, SQL, and cloud platforms like GCP and AWS. Proven ability to develop robust applications, implement machine learning models, and improve system performance and reliability, as demonstrated through successful internships and personal projects.
International Institute of Information Technology
Bachelor of Engineering · Information Technology
October 1, 2022 – June 1, 2026
Sociante
Project Developer Intern
September 1, 2025 – June 1, 2026
Pune, Maharashtra, India
Tech Mahindra
Software Developer Intern
January 1, 2025 – June 1, 2025
Pune, Maharashtra, India
Spotify Music Recommendation System
July 1, 2024 – August 1, 2024
Built a scalable music recommendation system using K-Means clustering on a dataset of 100,000+ Spotify tracks from Kaggle. Performed data preprocessing, feature engineering, and exploratory data analysis to identify patterns in audio features and song characteristics. Applied PCA and t-SNE for dimensionality reduction, visualization of high-dimensional music data. Developed a personalized recommendation pipeline that improved recommendation accuracy by 25%, enabling more relevant track suggestions.
Disease Prediction Using Machine Learning
January 1, 2024 – February 1, 2024
Cleaned and prepared the dataset, feature encoding, and exploratory data analysis (EDA) to improve model performance to predict diseases based on patient symptom data (dataset acquired from publicly available sources). Trained and evaluated multiple classification models including Decision Tree, Random Forest, and Support Vector Machine (SVM) using Scikit-learn. Compared classification models and identified Random Forest as the most accurate. Visualized data distributions, feature relationships, and model outputs using Matplotlib and Seaborn.
Oracle Cloud Infrastructure Foundations
Oracle University
October 31, 2025 – Present
Machine Learning
Stanford University
January 1, 2025 – Present
Learn Python Programming Masterclass
Udemy
January 1, 2024 – Present
Cultural Fit Analysis
The candidate shows a strong interest in both Machine Learning and backend development, evidenced by diverse projects and internships. The personal projects demonstrate initiative and self-learning. The certifications further highlight a proactive approach to skill development. This breadth of interest and continuous learning aligns well with a dynamic and growth-oriented technical culture. The experience with both Python/ML and Java/Spring Boot indicates adaptability.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work on complex problems, perform data analysis, and develop solutions. The 'Pat on the Back Award' suggests recognition for contributions during an internship. The detailed descriptions of bug identification and API updates at Tech Mahindra imply a methodical approach to problem-solving and attention to detail. However, without direct interview data, it's difficult to fully assess communication, teamwork, and stress handling.