Help & Supportcareers@gravityer.com
Code. Learn. Build. Repeat. Shipping projects one commit at a time. AI enthusiast with too many project ideas.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Predictive-Maintenance-Cost-Forecasting-for-Industrial-Asset-Heavy-Companies
May 21, 2026 – Present
Building a forecasting system to estimate predictive maintenance costs for industrial organisations using historical operational data.
View ProjectCredit-Card-Fraud-Detection-Model
May 21, 2026 – Present
ML classification model for real-time fraud detection, handling severe class imbalance via SMOTE and ensemble methods.
View ProjectESG_Greenwashing_Analyzer
May 14, 2026 – Present
AI-powered NLP application that analyzes ESG reports to detect potential greenwashing risks using PDF processing, sustainability intelligence, and interactive data visualization.
View ProjectAIKR_Cust_Churn
March 17, 2026 – Present
Artificial Intelligence and Knowledge Representation
View ProjectEmail_SMS_spam_classifier
January 18, 2026 – Present
This project builds an Email/SMS Spam Classifier using Natural Language Processing (NLP) and Machine Learning, and deploys it as an interactive Streamlit web application.
View ProjectANN_classification_Churn_modelling
January 6, 2026 – Present
End-to-end Customer Churn Prediction app using TensorFlow and Streamlit. Includes saved encoders/scaler, consistent preprocessing, and real-time probability predictions.
View ProjectGoogle_Data_Analysis
October 19, 2025 – October 19, 2025
Analyze global Google search trends using Python and PyTrends to visualize top countries, time-wise interests, and keyword comparisons with Matplotlib, Seaborn, and Plotly.
View ProjectPowerBi_Weather_Forecast
September 1, 2025 – September 1, 2025
This repo contains the real time powerBi dashboard I made using weather api.
View ProjectCultural Fit Analysis
The candidate's projects indicate a strong interest in applying AI/ML to solve real-world problems, which aligns with an innovative and problem-solving culture. The diversity of projects (ESG analysis, predictive maintenance, spam classification) suggests adaptability and a willingness to explore different domains. However, all projects are personal, and there is no information on collaborative work or team dynamics.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback provided.