GOOGLE BigQuery PROJECTS (SQL) - Explored various relational databases (Size ranging from 200k to 30 million rows), utilizing complex SQL queries to generate insights. Queries were performed in the Google BigQuery Sandbox.
ANALYZING CRIME IN LOS ANGELES (SQL DataCamp project) - Explored database to determine where and when crime is most likely to occur as well as most common crimes committed in LA.
ANALYZING UNICORN COMPANIES (SQL DataCamp project) - Explored database to find how many private companies have reached a valuation of over $1 billion between 2019 and 2021 across different industries.
EVALUATE A MANUFACTURING PROCESS (SQL DataCamp project) - Identified issues in a manufacturing process using SQL window functions and subqueries.
MANIPULATING DATA IN SQL TRACK
STOCK PICKING PROJECT(Python/Tableau)
STOCK ANALYSIS PROJECT (Python)
PYTHON FOR FINANCE COURSE - Learned how to use date time, if-statements and how to create, manipulate and combine data frames.
Capstone: Working with live NASDAQ data - Filtered, analyzed and created visualizations for real NASDAQ data in python.
MANIPULATING TIME SERIES DATA IN PYTHON COURSE - Learned to manipulate rolling and expanding time series data using pandas
Capstone: Building a value weighted index - Utilized market data to build a weighted index based on historical market capitalization.