Help & Supportcareers@gravityer.com
AI Engineer 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
AI/ML Developer Intern with 6 months of experience in designing and implementing machine learning models for real-world prediction problems, including stock price forecasting using Artificial Neural Networks (ANN) on live market data. Skilled in building regression algorithms from scratch, handling real-world data challenges, and evaluating models with industry-standard metrics. Also experienced in web development, contributing to responsive web applications and building interactive user interfaces.
Parul University
B. Tech · Computer Science
August 1, 2024 – June 30, 2027
Uplyx Solutions
AI-ML Developer Intern
December 1, 2025 – February 1, 2026
Jaipur, Rajasthan, India
Sumago Infotech Pvt. Ltd.
Web Developer Intern
June 1, 2023 – July 1, 2023
Nashik, Maharashtra, India
Stock Market Price Prediction using ANN (Live Data)
January 1, 2024 – May 31, 2024
Built and trained a multi-layer ANN with backpropagation to predict stock prices using historical and live market data. Integrated live data ingestion using yfinance, enabling near real-time stock price forecasting. Performed data preprocessing, feature engineering, and model evaluation, optimizing performance using RMSE, MAPE, and accuracy.
View ProjectHousing Price Prediction System
August 1, 2023 – December 31, 2023
Designed and implemented a housing price prediction system using multiple regression techniques (simple, multiple, and polynomial), working with a large-scale real estate dataset (10,000+ records). Built machine learning algorithms from scratch in Python, including gradient descent, normal equations, regularization (L1/L2), cross-validation, and model evaluation without relying on high-level ML libraries. Handled real-world data challenges such as missing values, outliers, non-linear relationships, and multicollinearity using statistical techniques, feature engineering, and VIF analysis.
View ProjectCultural Fit Analysis
The candidate's projects and internships show a strong interest in both AI/ML and web development, indicating versatility. The focus on building algorithms from scratch and tackling real-world data challenges suggests a proactive and problem-solving mindset. The blend of personal projects and internship experience, including a hybrid role, points to adaptability. However, the limited duration of internships and the early stage of their education mean that long-term team collaboration and project ownership experience are not yet fully demonstrated.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work with complex datasets and implement solutions independently. Participation in team discussions and code reviews during the web development internship suggests a capacity for collaboration. However, without specific assessment data on communication, logical reasoning, or stress handling, a comprehensive evaluation of soft skills and operational fit is limited.