ACADEMIC PROJECTS
KPMG - DATA ANALYTICS CONSULTING VIRTUAL INTERNSHIP
July 2020
In this internship project, a SpRocket bike company`s datasets was provided for analysis. One of the core task of this project was based on the given datasets I had to extract insights related to Sprocket business performance for last 3 years and had to provide different strategies via visualizations. I have used Tableau and Power BI software for different visualization tasks. To extract trends following three data analysis process I have followed:
Data Quality Assessment
Data Insights
Data Visualization
CRYPTOCURRENCY PRICE PREDICTION
March 2019
This project predicts price fluctuations for bitcoin. Traditionally supervised learning algorithms have been utilized for text-based sentiment classification, but with a twist.
Daily prices was labeled based on actual price changes one day in the future for each coin. By taking this approach, the model is able to directly predict price fluctuations instead of needing to first predict sentiment.
The final version of the model was able to correctly predict. The project implements a long short term memory model (LSTM) which is a particular deep learning model which is well suited with time series data or temporal or any kind of spatial and structural order.
The final version of the model was able to correctly predict. The project implements a long short term memory model (LSTM) which is a particular deep learning model which is well suited with time series data or temporal or any kind of spatial and structural order.