I am a data enthusiast, constantly seeking new challenges and opportunities for learning. My interests
lie in the fields of Machine Learning, Deep Learning, and Optimization, and I am currently seeking a
full-time position in these areas. Please take a look at my work below.
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Recent Projects
Financial Time Series Generation with GANs
Generate Financial Time Series (returns) with similar statistical properties (mean, standard
deviation,
skewness, kurtosis, acf, etc.) to a targeted market using GANs acting not in the time domain
but in the frequency domain, using FFT and inverse FFT to switch from one domain to the
other.
DEEP LEARNING
TIME SERIES
GAN
FFT
TENSORFLOW
GOOGLE CLOUD PLATFORM
Dynamic Pricing Optimization for Real Estate Assets
Optimize Real Estate prices dynamically to meet financial constraints and deadlines
(loan repayment dates) and maximize revenues.
SCRAPING
STATISTICAL ANALYSIS
MACHINE LEARNING
OPTIMIZATION
BEAUTIFULSOUP
SCIKIT-LEARN
Droughts Forecasting
Forecast droughts in the US with a 6-week lead time using weather time series
and static soil data. Compare LSTM performance to classic ML models.
DEEP LEARNING
MACHINE LEARNING
TIME SERIES
PYTORCH
SCIKIT-LEARN
GOOGLE CLOUD PLATFORM
Image Completion with GANs
A Generative Adversarial Network that completes incomplete portraits. From
left to right, images are: the original portrait, the incomplete portrait (missing region inside
the red
rectangle), the completed portrait.
DEEP LEARNING
COMPUTER VISION
GAN
PYTORCH
AZURE
NBA Shot Success Probability
Visualization tool for basketball games, incorporating the Shot Success Probability at any
time.
MACHINE LEARNING
SCIKIT-LEARN