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Position: Data Scientist
Program: Diploma in Data Science & Machine Learning
Position: Graduate Teaching & Research Assistant
Program: Master of Applied Statistics & Operations Research with a Business Analytics Specialization
Position: Financial Data Analyst
Position: Business Analyst Intern
Program: Bachelor Science in Finance
NBA Player Clustering- Performed unsupervised clustering analysis on player stats to categorize NBA players based on style of play and on-court contributions. Analyzed box score data from the 2020-2021 season using K-means, hierarchical, and model-based clustering algorithms. Identified an optimal 3-cluster solution that divides players into groups called "In-the-Paints", "Generals", and "Versatiles" based on statistical profiles
Skills:
This project focuses on sentiment analysis of tweets related to Black Friday shopping events. The dataset is obtained from the Twitter API, stored in CSV format, and loaded into an Amazon S3 bucket via Amazon Kinesis Data Firehose. A machine learning pipeline is established to train a Logistic Regression model for supervised sentiment analysis. The model's accuracy is then calculated, and the prediction data is written to a personal S3 bucket for further analysis.
Skills:
Developed a regression model using R to predict MLB player salaries based on performance statistics. Selected predictors from a dataset of 263 player-seasons using methods like variable selection, transformations, and influence diagnostics. The final 10 variable model attained an adjusted R-squared of 0.75 and accurately predicted salaries on test data
Skills:
CSV Data Viz Analysis Tool is a user-friendly application designed for visualizing structured data. This tool allows users to effortlessly create plots with accompanying summary explanations and easily embed them in a downloadable PowerPoint file. Powered by advanced language models, the application is tailored for seamless integration with Streamlit
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In this project, I worked as a Cloud Engineer using DevOps, where I created and implemented an e-Commerce MVP (Minimum Viable Product) on AWS in less than 2 hours and in an automated way using Terraform and Ansible (Infrastructure as Code — IaC)
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In this project, I as the Cloud Specialist was responsible for migrating a workload running in a Corporate DataCenter to AWS using the Amazon EC2 and RDS service
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In this project, I was responsible for implementing an application that needs to support the high demand of a large number of users accessing it simultaneously
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