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House-Price-Prediction
April 7, 2024 – April 29, 2024
This project demonstrates the application of machine learning techniques to predict house prices based on various features. By analyzing the dataset, preprocessing the data, and selecting an appropriate model, we were able to achieve a high level of accuracy in predicting house prices. The trained model can be further refined and deployed.
View ProjectPodcraze-Mobile-App
February 5, 2024 – May 6, 2024
Podcraze-Mobile-App — GitHub repository
View Projectsmart-task-manager
January 31, 2024 – January 31, 2024
smart-task-manager — GitHub repository
View Projectword-pronouncer
January 30, 2024 – January 30, 2024
Pronounce selected words on double-click
View Projectchat-bot
January 13, 2023 – April 29, 2024
This chatbot project demonstrates the application of AI and ML techniques for natural language processing tasks. By training on a dataset of intents and responses, the chatbot is able to understand user queries and provide appropriate responses, making it a useful tool for various applications, including customer support, and more
View Projectmovie-recommender-system
December 25, 2022 – April 29, 2024
A movie recommendation system, is an AI/ML-based approach to filtering or predicting the users’ film preferences based on their past choices and behavior. It’s an advanced filtration mechanism that predicts the possible movie choices of the concerned user and their preferences towards a domain-specific item, aka movie.
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a diverse range of interests, from hardware description languages (Verilog, VHDL) to mobile app development (Dart, Swift) and competitive programming (C++, Python), alongside AI/ML projects. This breadth suggests adaptability and a willingness to explore different technical domains. However, the depth within the 'Data Scientist' target role is limited to personal projects, which may require further validation for a senior-level position. The lack of professional experience or education details makes it difficult to fully assess cultural fit within a structured team environment.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback provided.