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Emotion-Detection-Frontend
April 22, 2024 – April 23, 2024
Emotion-Detection-Frontend — GitHub repository
View ProjectFootball-Match-Predictor
November 18, 2022 – November 25, 2022
Creating a program to predict Football matches based on their advanced metrics such as xG, NPxG, xGdiff, PPDA etc
View ProjectMovie-Recommender-System-Using-Restricted-Boltzmann-Machines
September 21, 2022 – September 21, 2022
Using a restricted Boltzmann Machine to make a recommender system and predict whether a user will like a movie or not( Binary Classification)
View ProjectCredit-Fraud-Detection-Using-Self-Organising-Maps-SOMs-
September 17, 2022 – September 17, 2022
A python program implementing SOM to predict potential Credit Card frauds using libraries NumPy, Matplotlib, minisom and Scikitlearn.
View ProjectPredicting-Google-Stock-Prices-using-RNN-
September 12, 2022 – September 12, 2022
Google Stock price predictor using RNN
View ProjectCNN-Dog-or-Cat-Classifier
September 5, 2022 – September 5, 2022
A CNN based model to predict whether the given input is a cat or a dog.
View ProjectHex-The-Desktop-Voice-Assistant
September 2, 2022 – September 2, 2022
Python program to make a Desktop Voice Assistant nameed Hex automated to do things like Telling Time, Sending Emails, Making google searches and retrieving information from Wikipedia etc.
View ProjectMovie-Recommender-System
July 6, 2022 – October 10, 2022
A Machine Learning Model which gives you the most similar movies to the one you choose from all the movies included included in the dataset.
View ProjectHeart-Disease-Classification-Model
May 17, 2022 – September 22, 2022
Heart Disease Predictor source code in Jupyter Notebook
View ProjectCultural Fit Analysis
The candidate's projects are all personal and primarily focused on Machine Learning and Data Science, which aligns with the target role of Data Scientist. However, the lack of team projects, professional experience, or diverse technology exposure limits the assessment of broader cultural fit and adaptability within a professional team environment. The projects indicate a strong individual drive in specific technical areas.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's profile primarily showcases technical project work without details on collaboration, problem-solving approaches, or communication in a team setting.