AI Engineer by profession. Musician and linguaphile at heart.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
fastapi-advanced
October 12, 2025 – October 12, 2025
fastapi-advanced — GitHub repository
View ProjectJupyterLite-Trial
January 23, 2023 – January 23, 2023
JupyterLite-Trial — GitHub repository
View ProjectGoutons-Voir
October 3, 2022 – November 15, 2024
Virtual Wine Quality Predictor - Web API
View ProjectHouse_Price_Prediction
April 28, 2021 – April 28, 2021
House Price Prediction for the "Bengaluru_House_Data" data set deployed via and built using the Streamlit library.
View ProjectTweets_Analysis
October 30, 2020 – April 28, 2021
A dashboard was built using the Streamlit library for the "US Airlines Tweets" dataset for sentiment analysis.
View ProjectCultural Fit Analysis
The candidate's project portfolio demonstrates a strong personal drive and interest in data science and machine learning, aligning with a culture that values continuous learning and practical application. The diversity of projects (e.g., wine quality prediction, house price prediction, sentiment analysis, AI agents) suggests a broad curiosity and willingness to explore different problem domains. However, without information on team-based projects or professional experience, it's difficult to fully assess cultural fit regarding collaboration and workplace dynamics.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's profile primarily showcases technical project work without details on collaboration, problem-solving approaches, or communication styles.