Help & Supportcareers@gravityer.com
Software Developer Intern with less than a year in Machine Learning & Web Development
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 detail-oriented Python enthusiast with strong analytical skills and a solid foundation in Python programming, Object-Oriented Programming (OOP), and data structures. Passionate about writing efficient, clean, and reusable code while continuously enhancing problem-solving abilities. Familiar with REST API development, backend concepts, and database fundamentals including MySQL and PostgreSQL. Basic exposure to frameworks such as Django/Flask and version control using Git. Eager to collaborate within dynamic development teams and gain hands-on experience through real-world projects. Quick learner with the ability to work independently and adapt to new technologies.
Chalapathi institute of engineering & technology
B.Tech · Computer Science
August 1, 2022 – June 30, 2026
Artichus Company
Software Developer Intern
June 1, 2026 – Present
India
Startup-Success prediction
June 1, 2026 – Present
Developed a machine learning model to predict the success probability of startups based on features like funding amount, industry, team size, and market trends. Performed data preprocessing, feature engineering, and exploratory data analysis to identify key success factors. Implemented classification algorithms such as Logistic Regression and Random Forest to achieve accurate predictions. Evaluated model performance using accuracy, precision, recall, and F1-score. Built a simple user interface to input startup details and generate real-time predictions.
Responsive Personal Portfolio
June 1, 2026 – Present
Designed and developed a fully responsive personal portfolio website to showcase projects, skills, and achievements. Built using HTML, CSS, Bootstrap, and JavaScript to ensure cross-device compatibility and modern UI design. Implemented smooth navigation, interactive sections, and optimized layout for mobile, tablet, and desktop views. Integrated contact form and project showcase section for better user engagement. Deployed the portfolio online to create a professional digital presence.
Real Estate Land Price Prediction – Machine Learning Project
June 1, 2026 – Present
Developed a machine learning model to predict land prices based on location, area size, amenities, and market trends. Performed data cleaning, feature engineering, and exploratory data analysis to identify key price-driving factors. Implemented regression algorithms such as Linear Regression and Random Forest for accurate price estimation. Evaluated model performance using metrics like R² score, MAE, and RMSE. Built a simple interface to input property details and generate real-time price predictions.
Cultural Fit Analysis
The candidate's projects demonstrate an interest in both machine learning and web development, showing a breadth of technical curiosity. The personal projects indicate initiative and self-driven learning. The current internship suggests an ability to work in a team and adapt to real-world development processes. However, with limited professional experience, the full extent of cultural fit, especially in diverse or fast-paced environments, is yet to be proven.
Soft Skills & Operational Fit
The candidate lists soft skills such as time management, problem-solving, communication, flexibility, creativity, and leadership. The internship description mentions collaboration with cross-functional teams and exposure to agile methodologies, indicating a foundational understanding of operational fit within a development team. However, without specific examples or further assessment, the depth of these soft skills cannot be fully evaluated.