Help & Supportcareers@gravityer.com
Data Analyst, Data Enthusiast, Machine Learning learner
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Time-Series-Sample
November 25, 2018 – November 25, 2018
Time-Series-Sample — GitHub repository
View ProjectRetail-Giant-Sales-Forecasting
November 4, 2018 – November 19, 2018
“Global Mart” is an online store super giant having worldwide operations. The goal is to forecast the sales and the demand for the next 6 months, that would help you manage the revenue and inventory accordingly.
View ProjectHandwritten-digit-recognition-SVM
November 4, 2018 – November 4, 2018
The goal is to develop a model that can correctly identify the digit (between 0-9) written in an image based on the pixel values given as features.
View ProjectHR-Analytics-Case-Study
November 4, 2018 – November 4, 2018
The goal is to model the probability of attrition of employees in a company using logistic regression. The results thus obtained will be used by the management to understand what changes they should make to their workplace, in order to get most of their employees to stay.
View ProjectCar-Price-Prediction-Regression
November 3, 2018 – November 4, 2018
A Chinese automobile company Geely Auto aspires to enter the US market. The company wants to know: Which variables are significant in predicting the price of a car and How well those variables describe the price of a car.
View ProjectUber-Supply-Demand-Gap
August 22, 2018 – November 3, 2018
The aim of analysis is to identify the root cause of cancellation and non-availability of Uber cars and recommend ways to improve the situation. This was done purely through EDA - Exploratory Data Analysis in R.
View ProjectCultural Fit Analysis
The candidate's projects are all personal and focused on data science tasks using R. While this aligns with a Data Scientist role, the lack of diverse project types, team collaboration evidence, or professional experience makes it difficult to assess broader cultural fit. The experience level is 0, indicating no professional work history.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.