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Pursing to be a successful data scientist. I am always on the lookout for hard, high-impact projects.
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
GP_Product_Recommendation_System
July 12, 2023 – July 12, 2023
The recommendation system uses ResNet50 for feature extraction, enhancing visual understanding and enabling accurate product recommendations.
View ProjectBigMartSales
May 24, 2023 – May 24, 2023
The data scientists at BigMart have collected 2013 sales data for 1559 products across 10 stores in different cities. Also, certain attributes of each product and store have been defined. The aim is to build a predictive model and find out the sales of each product at a particular store.
View ProjectData-Visualization-using-R
April 16, 2023 – April 29, 2023
Using the dataset “diabetes.CSV” dataset which is a metabolic disease in which the body’s inability to produce insulin causes elevated levels of glucose in the blood.
View ProjectBillEase
April 12, 2023 – September 7, 2023
Invoice system to manage different kinds of bills
View ProjectTitanic-Data-Science-Solution
March 23, 2023 – March 23, 2023
Titanic Data Science Solution is a Python-based solution using pandas, numpy, and data visualization libraries like seaborn and matplotlib. It analyzes and visualizes Titanic passenger data to predict survival rates, helping to understand the factors that influenced survival on the ill-fated voyage.
View ProjectMovie-Recommendation-System
February 20, 2023 – February 20, 2023
Movie Recommendation System With Python And Pandas: Data Project
View ProjectMohamedWael-Zaki
November 27, 2022 – November 27, 2022
Config files for my GitHub profile.
View ProjectTMDb-movie-dataset-using-AI-ML
March 19, 2022 – May 26, 2022
The idea behind this ML project is to build a model that will classify how much loan the user can take. It is based on the user’s marital status, education, number of dependents, and employment. You can build a linear model for this project.
View ProjectFurniture-E-commerce-App-ITI
August 21, 2021 – August 21, 2021
Furniture-E-commerce-App-ITI — GitHub repository
View ProjectCultural Fit Analysis
The candidate's projects show a strong inclination towards personal learning and exploration in data science. However, the diversity of projects also includes mobile and web development, which might indicate a broader interest rather than a focused alignment with a senior Data Scientist role. The lack of professional experience or team-based projects makes it difficult to assess collaboration or cultural integration.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.