I am a Data Science enthusiast and very passionate to work in this domain.
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Assessing your cultural and operational fit
Recruitment-prediction-system
October 13, 2020 – October 13, 2020
Predicts the chances of an employee for getting recruited based on Qualification level,CGPA,Experience & Source-ID.
View ProjectEmployee_Attrition-HR-Analytics
October 11, 2020 – October 12, 2020
Predicting why employees are leaving organization & building a model to predict in future, who will leave the company.
View ProjectHate_Speech_Detection-NLP
October 9, 2020 – October 11, 2020
Created Hate speech detection model using Count Vectorizer & XGBoost Classifier with an Accuracy upto 0.9471, which can be used to predict tweets which are hate or non-hate.
View ProjectEnd-to-End-Data-Science-projects
October 8, 2020 – October 11, 2020
Contains list of all End to End executed projects in Data Science from Model building-Web app using Flask-Deployment in Heroku platform.
View ProjectFake_News_Classifier_NLP
October 5, 2020 – October 15, 2020
An End to End Machine Learning application for detecting fake news, built model using Passive aggressive classfier and integrated with Flask for web application and deployed in Heroku platform.
View ProjectMedTest
October 5, 2020 – October 7, 2020
MedTest is an End to End Machine Learning Application, which can be used for predicting various diseases such as Diabetes,Heart,Breast Cancer,Malaria,Pneumonia and also provides details about it Symptoms etc.
View Projectmandar196
September 23, 2020 – November 17, 2021
Hi 👋, Glad to see you here! Check out some of my repositories to learn more about me.
View ProjectMovie_Recommendation_System
September 21, 2020 – December 24, 2020
This is an End to End Machine Learning Application of recommendation system deployed it in Heroku platform.
View ProjectCovid19-prediction-using-CNN
August 1, 2020 – August 1, 2020
Covid19-prediction-using-CNN — GitHub repository
View ProjectInstaBot
June 27, 2020 – June 27, 2020
This is a chatbot built using NLTK & vectorized using TF-IDF and cosine similarity.
View ProjectCultural Fit Analysis
The candidate's portfolio consists entirely of personal projects, primarily in Data Science and Machine Learning. This indicates a strong passion for the field and self-driven learning. The diversity of projects (NLP, recommendation systems, disease prediction, HR analytics) shows a broad interest within data science. However, the lack of professional experience or team-based projects makes it difficult to assess cultural fit in a collaborative work environment.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions indicate a focus on practical application and deployment, which suggests a results-oriented approach. However, there is no information regarding teamwork, problem-solving methodologies, or communication style.