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africa-econ-crisis-analysis-nyu

analyzing-spotify-top-200-weekly-global-chart--11-25-2021-

This project is an entry for the Tableau 2021 Iron Viz: Student Edition competition. I love listening to music so much so I found the competition really interesting as it gave me the opportunity to visualize music data using descriptive analysis technique

customersegmentation

The purpose of this project was to perform customer segmentation on mall customers using sklearn Kmeans algorithm. Exploratory data analysis was first performed on the dataset to understand the data. Silhouette analysis was then used to determine the best number of clusters using age, annual income and spending score assigned to customers based on spending habit.

exploring-gender-equality-in-undergraduate-enrollment

real-time-automated-decision-making-system

The purpose of this project was to make real-time investment decisions on 10 different currency pairs e.g., EUR-USD every 6 minutes. Investment strategy was first built based on historical data collected over 24 hours for 10 different currency pairs. This was done by computing Average price, return, standard deviation, moving average using 5 data points and Bollinger bands for 1.25 standard deviations for 6 minutes (360 data points) aggregate data. I observed that when we had 3 consecutive positive returns, then the value of the currency pairs crossed the upper Bollinger Band in 30% of the cases. Based on this strategy, I decided to build my investment strategy around selling after 3 consecutive positive returns and buying after 3 consecutive negative returns else, no decision was made. Real-time granular data (1 second) was then collected from Polygon.com for 10 different currency pairs and saved in a database. Based on the strategy, decisions were made in real time, every six minutes to sell, buy or do nothing. Profit and Loss was also computed every 6 minutes.

week_2-sql