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Assessing your cultural and operational fit
ML-Based-stock-supply-system
January 29, 2025 – January 29, 2025
ML-Based-stock-supply-system — GitHub repository
View ProjectTask2-Unsupervised-Learning
June 16, 2021 – June 16, 2021
From the given ‘Iris’ dataset, predicting the optimum number of clusters and representing it visually.
View ProjectTask1-Linear-Regression
June 16, 2021 – June 16, 2021
Predicting the percentage of a student based on the no. of study hours.
View ProjectEmail-Application-System
May 11, 2021 – May 11, 2021
Generate an email with the following syntax: firstname.lastname@department.company.com 2. Determine the department (sales, development, accounting), if none leave blank 3. Generate a random String for a password 4. Have set methods to change the password, set the mailbox capacity, and define an alternate email address 5. Have get methods to display the name, email, and mailbox capacity
View ProjectWeather-Dataset
May 11, 2021 – May 11, 2021
Using python and Weather Data, numbers of operation is done such as finding max and min values, mean,variance,standard deviation, finding unique values, number of occurrences, finding Null value and renaming column name.
View ProjectSocket-Programming
April 30, 2021 – May 11, 2021
This program involves a client-server TCP communication.
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a mix of Java-based application development and Python/Jupyter Notebook-based data science tasks. This diversity indicates a willingness to explore different technical areas. However, without specific experience or education details, it's difficult to fully assess cultural fit beyond a general interest in learning and applying various technologies. The projects are personal and lack team collaboration context.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions are brief, and there are no psychometric test results or interview notes.