Scope of Projects

Data Analysis

Analyze data from various data sources. Results, trends and recommendations are clearly presented in reports or tools.

Data Science

Get more value from your data with prediction models and machine learning techniques, for example by predicting behavior or targeting the right customer.

Data Engineering

Optimize data towards usability, encompasses sourcing, transforming, and managing data from various systems.

Deep Learning

Use a deep learning model on your product to get better and more effective models. It can also help business cut down on unnecessary expenditure.

Recent Projects

Credit Risk Scoring

This is an end-to-end data science project related to credit scoring. Business understanding, data preparation, exploration, processing, and building machine learning models are discussed here.

Recommendation System

In this project, I created a recommendation system using a machine learning algorithm. The system applied adapts to the market basket analysis with its correlation to make recommendations.

Quality Assurance

This project shows how to perform quality assurance using deep learning. The model cn carry out inspections related to cracks in a building.

Telecom Churn Analysis

In this project, I try to predict customers who have the potential to churn at a telecom company. Exploratory data analysis and machine learning models were built and applied to this project.

Insurance Fraud Detection

In this project, I try to detect customers who have the potential to fraud at an insurance company. Exploratory data analysis and machine learning models were built and applied to this project.

Market Basket Analysis

This is an analysis of the goods purchased by customers in a market. In this analysis, I try to group what items are purchased and try to identify the basket of items that are often purchased.