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Ecommerce-Regression
July 18, 2020 – July 19, 2020
Predicting yearly amount sales based on input features using basic regression techniques and feature selections
View ProjectCar-Crash-Severity-Classification-GL-Hackathon
July 2, 2020 – July 2, 2020
Car-Crash-Severity-Classification-GL-Hackathon — GitHub repository
View ProjectBigmartsales-Regression
May 20, 2020 – September 4, 2020
Sales Prediction for Big Mart Outlets 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 predict the sales of each product at a particular outlet. Using this model, BigMart will try to understand the properties of products and outlets which play a key role in increasing sales. Please note that the data may have missing values as some stores might not report all the data due to technical glitches. Hence, it will be required to treat them accordingly.
View ProjectAV-Mobility-analytics-EDA-Classification
May 19, 2020 – May 20, 2020
Ola uber Multiclass classification with EDA file
View ProjectMLSP-hack-3-HR-analytics-Classification
May 15, 2020 – May 15, 2020
HR analytics is revolutionising the way human resources departments operate, leading to higher efficiency and better results overall. Human resources has been using analytics for years. However, the collection, processing and analysis of data has been largely manual, and given the nature of human resources dynamics and HR KPIs, the approach has been constraining HR.
View ProjectMH-used-car-sales-Regression
April 22, 2020 – May 20, 2020
MH-used-car-sales-Regression — GitHub repository
View Projectinsurance-potential-cust-Classification
April 22, 2020 – April 22, 2020
Direct mailings to a company’s potential customers – “junk mail” to many – can be a very effective way for them to market a product or a service. However, as we all know, much of this junk mail is really of no interest to the people that receive it. Most of it ends up thrown away, not only wasting the money that the company spent on it, but also filling up landfill waste sites or needing to be recycled.If the company had a better understanding of who their potential customers were, they would know more accurately who to send it to, so some of this waste and expense could be reduced.
View ProjectCredit-card-loan-defaulter-Classification
March 22, 2020 – March 22, 2020
Applied ML classification models
View ProjectCultural Fit Analysis
The candidate's projects primarily focus on applying standard machine learning models to various datasets, indicating a foundational understanding of data science tasks. The consistent use of Jupyter Notebook suggests a preference for interactive data analysis and model development. However, the lack of team projects, diverse technologies beyond Jupyter Notebook, or contributions to open-source projects limits the assessment of broader cultural fit and collaboration potential. The projects are all personal, which is common for entry-level, but for a senior role, more collaborative or complex system-level projects would be expected.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.