•	Finding the datasets relevant for the project.
•	Perform Exploratory data analysis and wrangling on the datasets.
•	Explain stakeholders the insights found in the dataset.
•	Engage with stakeholders and end-users for the business requirements.
•	Working with interdisciplinary team to find innovative solution.
•	Implement advanced strategies for gathering, reviewing and analyzing data requirement

Oracle (Industrial Experince)

Data Analyst

Python

MongoDB

Tableau

D3.js

SQL Server

Contract - Data Analyst

Caulfield

Master of Data Science

Monash University

ANZ program

Graduate Data Analyst

I'm a graduate data science student from Monash University. I was involved in an entrepreneurial project with the association of Oracle employee for five months period. The clients and University lauded the outcome of the project. I understood what an analyst day in day out activities would be while working on this project.
Furthermore, I always strive to new tools and algorithms may because I'm curious to learn and have a growth mindset. I'm also detail-oriented and a team player. I wanted to become a data analyst only to help find the solutions to any problems that business, people, the community challenging now and in future.


•	Data integration, Exploratory data analysis performed on the dataset obtained from the NYC Department of Finance.
•	After Data cleansing the data further statistical insights are derived.
•	Created Storytelling R shiny Dashboard for the people who like to buy a property at NYC and Location-based price estimates are visualized.


harshavardhan reddy mallypally / Contract - Data Analyst

Data Analyst

Oracle (Industrial Experince)

Progress

Skills