Camila Asprilla | Graduate Student Big Data / ML

Camila Asprilla

Graduate Student Big Data / ML

Based in Miami, FL

About

In 2023, I developed an interest in Data Engineering and Data Science after being introduced to DBMS in school. Initially, I expected to focus on data analysis with PowerBI and Tableau, but I was surprised to find that the program had a strong emphasis on data science. Lacking a technical background, I considered dropping out in the first semester due to difficulties understanding statistical concepts and linear algebra. However, I persuaded the admissions office to let me switch from an MBA to an MS in Big Data Analytics for a trial semester and I was determined to succeed. Surprisingly, the first semester was tailored for beginners, enabling me to catch up and succeed in the field. I am also proud to say that I will be the only female graduating from my masters next summer.

Skills

Projects

Unsupervised Machine Learning: Portfolio Trading Strategy

This project leverages all stocks NASDAQ-listed stocks as of 2023 to construct an optimally diversified portfolio, aimed at mitigating risks and outperform the NASDAQ Composite index.

Long/Short-Term Memory Neural Network: Stock Movement Prediction with TensorFlow Keras

Introduce the LSTM recurrent neural network to be able to teach the model through reinforcement how to predict the indexe's movement

Monte Carlo Simulation Using R

Monte Carlo simulation has been a well known mathematical technique used to predict any number of possible outcomes. This project uses historical Amazon's stock prices to create predictions .

Convertible Bonds Price Prediction

This paper analyzes the price movements of the iShares Convertible Bond ETF by BlackRock (ticker: ICVT) and proposes a machine learning-based approach to predict its Net Asset Value (NAV), which represents the accumulated value of each holding in the security.

Evaluating Volatility to Develop Machine Learning Models for stock and call option pricing

To utilize regression analysis techniques, incorporating financial metrics and machine learning models, to forecast the price of Tesla’s stock (TSLA). These stock price predictions will subsequently be used to estimate the prices of Tesla’s call options.

Education

2016 - 2020

Accounting at UCF

My undergraduate degree is in Accounting. After graduating from UCF, I decided to pursue a career in tax accounting with one of the big four firms in NYC.

2022 - 2024

Masters in Big Data

My career goal is to specialize in forecasting, modeling, analysis, and reporting to provide actionable insights and drive strategic decision-making. By leveraging advanced analytical techniques and cutting-edge tools, I aim to deliver accurate predictions, optimize processes, and contribute to the overall success of the organization through data-driven strategies.