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Medical-Chatbot-Generative-AI
January 6, 2025 – January 25, 2025
Medical-Chatbot-Generative-AI — GitHub repository
View ProjectFlask-Login-MySQL-SessionManagement
September 28, 2024 – September 29, 2024
Flask-Login-MySQL-SessionManagement — GitHub repository
View ProjectMovie-Recommender
July 26, 2024 – January 25, 2025
A Streamlit-based movie recommendation system that uses TF-IDF vectorization and cosine similarity to recommend movies based on the selected movie.
View ProjectGUVI-GPT-Text-Generator
June 28, 2024 – January 25, 2025
This project deploys a fine-tuned GPT-2 model on Hugging Face Spaces, featuring a Streamlit-based chatbot interface. It includes secure user authentication with encrypted passwords and stores user data in TiDB Cloud. The project combines advanced AI, secure authentication, and scalable data management for a user-friendly chatbot experience.
View ProjectAirbnb-Analysis
May 18, 2024 – June 2, 2024
Extracted Airbnb data from a JSON dataset using Python, transforming it into a structured DataFrame. Enhanced data quality through cleaning and organizing. Stored the data in a MySQL database using the MySQL Python connector. Developed an interactive Streamlit dashboard with dynamic Plotly visualizations, utilizing SQLAlchemy for querying.
View ProjectPhonepe-Pulse-Data-Visualization-and-Exploration
May 5, 2024 – May 7, 2024
This project involves cloning the PhonePe Pulse dataset using Git and then transforming it using Pandas. The transformed data is subsequently stored in a SQL database for querying. Additionally, an interactive dashboard is developed with Streamlit and Plotly, featuring geoplots for enhanced data exploration and insights.
View ProjectYouTube-Data-Harvesting-and-Warehousing-using-SQL-and-Streamlit
April 21, 2024 – June 2, 2024
This project about Building a simple dashboard or UI using Streamlit and retrieve YouTube channel data with the help of YouTube API. Stored the data in SQL database(warehousing), enabling querying of the data using SQL. Visualize the data within the Streamlit.
View ProjectCultural Fit Analysis
The candidate has a diverse set of personal projects, indicating a strong self-starter attitude and a passion for learning new technologies. The projects align well with a Data Scientist role, covering data engineering, analysis, visualization, and machine learning. The breadth of tools and techniques used suggests adaptability and a willingness to explore different solutions. The focus on practical, deployable projects (e.g., Streamlit dashboards, Hugging Face deployment) indicates a results-oriented mindset.
Soft Skills & Operational Fit
The candidate's project descriptions indicate a focus on end-to-end data solutions, from data extraction to visualization and deployment. The use of Streamlit for UI/dashboards suggests an understanding of presenting insights. However, without psychometric test results or interview data, it's difficult to assess specific soft skills like logical reasoning, work attitude, stress handling, or team collaboration.