Predict Employee Computer Access Needs in Python

Data Science Project in Python- Given his or her job role, predict employee access needs using amazon employee database.

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What will you learn

  • Understanding the problem statement

  • Initializing necessary libraries and understanding its use

  • Importing Dataset and performing basic EDA

  • Checking for null values and filling them with appropriate values

  • Visualization using Barplot

  • Perform Univariate Analysis and Data Transformation conversion

  • Dictionary encoding and decoding using functions

  • Grouping data for combined analysis by creating functions

  • Creating functions for label encoding and one hot encoding

  • Creating function for preprocessing of Test dataset

  • Creating a function for K-fold cross validation

  • Making the "main" function that performs every processing and gives the final predictions in CSV format

  • Performing aproximate greedy feature selection

  • Applying Logistic Regression

  • Hyper-parameter tuning the model for the best result

  • Evaluation using AUC score

  • Calculating final pred_probabilities and saving it in CSV format

Project Description

When an employee at any company starts work, they first need to obtain the computer access necessary to fulfill their role. This access may allow an employee to read/manipulate resources through various applications or web portals. It is assumed that employees fulfilling the functions of a given role will access the same or similar resources. It is often the case that employees figure out the access they need as they encounter roadblocks during their daily work (e.g. not able to log into a reporting portal). A knowledgeable supervisor then takes time to manually grant the needed access in order to overcome access obstacles. As employees move throughout a company, this access discovery/recovery cycle wastes a nontrivial amount of time and money.

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There is a considerable amount of data regarding an employee’s role within an organization and the resources to which they have access. Given the data related to current employees and their provisioned access, models can be built that automatically determine access privileges as employees enter and leave roles within a company. In this data science project, we will build an auto-access model that minimizes the human involvement required to grant or revoke employee access.

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Curriculum For This Mini Project

 
  Understanding the data set
05m
  Univariate Data Analysis
01m
  Univariate Data Analysis - Troubleshooting
05m
  Example Univariate Data Analysis
24m
  Model Building
15m
  Data Transformation - Feature Engineering
15m
  Utility Functions
00m
  Count Variables
15m
  Feature Creation - 2 Way Count
06m
  2 Way Count - Role Family Variable
19m
  Feature Creation - 3 Way Count
14m
  Defining Rollup Variable To Combine Results
12m
  Computing Role Type Id Creation
18m
  Computing Resource Type Id Creation
12m