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Analysis-of-Amazon-Reviews-using-R
March 24, 2018 – March 24, 2018
Analysis-of-Amazon-Reviews-using-R — GitHub repository
View ProjectInvestment-Case-Study---Sparks-Fund-LLP
March 24, 2018 – March 24, 2018
Investment-Case-Study---Sparks-Fund-LLP — GitHub repository
View ProjectGramener-Case-Study
March 24, 2018 – March 24, 2018
Gramener-Case-Study — GitHub repository
View ProjectFelxDashboard-HR-Analytics.github.io
March 9, 2018 – March 24, 2018
FelxDashboard-HR-Analytics.github.io — GitHub repository
View ProjectTime-Series-Data-Analysis-for-Global-Mart
November 19, 2017 – November 19, 2017
Business understanding: “Global Mart” is an online store super giant having worldwide operations. It takes orders and delivers across the globe and deals with all the major product categories - consumer, corporate & home office. Now as a sales/operations manager, you want to finalise the plan for the next 6 months. So, you want to forecast the sales and the demand for the next 6 months, that would help you manage the revenue and inventory accordingly. The store caters to 7 different market segments and in 3 major categories. You want to forecast at this granular level, so you subset your data into 21 (7*3) buckets before analysing these data. But not all of these 21 market buckets are important from the store’s point of view. So you need to find out 2 most profitable (and consistent) segment from these 21 and forecast the sales and demand for these segments.
View ProjectUse-image-classification-to-identify-handwritten-digits-using-Support-Vector-Machine-Algorithm
November 19, 2017 – November 19, 2017
A classic problem in the field of pattern recognition is that of handwritten digit recognition. Suppose that you have an image of a digit submitted by a user via a scanner, a tablet, or other digital devices. The goal is to develop a model that can correctly identify the digit (between 0-9) written in an image.
View ProjectCultural Fit Analysis
The candidate's projects are primarily personal and focused on R, which aligns with a Data Scientist role. However, the lack of diverse technologies beyond R and limited team-based project descriptions suggest a potential need for broader tool exposure and collaborative experience for a senior role. The projects are varied in domain (manufacturing, retail, HR, finance, image recognition), indicating a willingness to explore different problem spaces.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. Psychometric test scores are 0, indicating no completed test results.