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About Me

Hello! My name is Daniel and I live in New York City with my fiancée and our two dogs.


Education

I graduated from Columbia University with a B.A. in Data Science and M.A. in Statistics.

Why Data?

Choosing a career based in statistics and computer science was not accidental. I am an extremely analytical, data-driven individual who has intuitively utilized a Data-Scientific method (collect, analyze, model, and iterate) for all life decisions. Because, with data we can be certain of our options, and with statistics we can be confident in our choices.

Life philosophy

I believe the secret to success and happiness can be simplified by asking oneself two questions:
1. Did I try?
2. Did I give it everything I had?
If one can consistently answer yes to both then, boundaries are continually pushed, and progress is attained by persistent effort. I use this model to achieve, learn, and grow as a person so that each day I wake up better than the last.

Fun Facts

About Me By The "Numbers"

100,000
Lines of Code Written

I truly enjoy engineering and I am passionate about the creative process. I find it incredibly fulfilling to start with a blank canvas and bring a program to life

101
Guitar Songs Learned

From festivals to subway buskers, from Classical to Metalcore, and from playing guitar to singing
I   Love   Music!

183
Restaurants Enjoyed

There may be nothing better in life than discovering a new flavor, or just having a delicious meal with loved ones

1586
Push-Ups Done

I thoroughly enjoy exercise and find it as an integral part of a productive life. HIIT and weightlifting are my favorites

Career

2023-2024Data Python Engineer

SME Solutions Group -CONTRACT
  • Engineering comprehensive overhaul of analytic data ontology for the NHL Tampa Bay Lightning
  • Facilitating on-prem migration to cloud based solutions: AWS, Snowflake, Airflow orchestration
  • Translating and reengineering entire codebase from legacy Java to Python, reducing computational complexity and providing a modular end-user focused design for future iterative development
  • Establishing best-practice frameworks and protocols for interdepartmental collaboration of algorithm development for inclusive adoption of leading-edge industry tools and methods
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2022-2022Machine Learning Engineer

Qraft Technologies USA -CONTRACT
  • Establishing data and ML modeling infrastructure pipeline for CI/CD production at USA branch
  • Developing research based deep learning models in asset selection and allocation for short-term trading strategies
  • Acting as provisional CTO for US office, managing all technical related matters
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2022-2022Data & Reporting Engineer

VNS Health -CONTRACT
  • Automated database processes and reporting for Revenue Cycle, Financial Planning and Analysis
  • Corrected inaccuracies within SQL stored procedures adding $80k+ of unaccounted revenue per year
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2021-2023 Columbia University

Master of Arts in Statistics
  • Student Representative for the program, serving the student body and the Statistics Department
  • Continued to Excel in Courses such as:
    Advanced Machine Learning ♦ Data Science with Python ♦ Exploratory Data Analysis ♦ Machine Learning for Finance ♦ Natural Language Processing ♦ Statistical Methods in Finance ♦ Time Series Analysis
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2016- 2020 Columbia University

Bachelor of Arts in Data Science
  • Exceled in Technical Courses such as:
    Algorithms for Data Science ♦ Applied Data Science ♦ Artificial Intelligence ♦ Bayesian Statistics ♦ C.S. Theory ♦ Databases ♦ Data Science with Python ♦ Data Structures ♦ Exploratory Data Analysis ♦ Linear Algebra ♦ Linear Regression Models and Analysis ♦ Machine Learning ♦ Statistical Computing
  • Rigorous liberal arts education providing a comprehensive foundation based in communication and collaboration
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2015- 2017outreach athletics

  • Founded not-for-profit exercise group to promote the health and wellbeing of the community
  • Created and instructed free weekly exercises
  • Maintained online digital presence: website, social media, and promotion
  • Over 2000 members in the Tampa Bay area
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2014- 2016 Hillsborough Community College

Associates of Arts in Computer Science and Mathematics

  • Excelled in prerequisite undergraduate coursework for intended Data Science major
  • Honors Institute and Phi Theta Kappa (PTK) Member
  • Beatrice Kunda Writing Contest award winner
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2013- 2016Web developer

  • Utilized HTML, CSS, JavaScript and Adobe Illustrator for designing and developing websites for use in: Commerce, Healthcare, Community Organizations, and Education


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2013- 2014 real estate investor

  • Fulfilled all responsibilities necessary for home renovation
  • Completed restoration of two homes in Dunedin, FL


(One of the homes shown here)
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2010- 2013 day trader

  • Developed and implemented day and short-term trading algorithms
  • Traded stocks and options within equity markets
  • Traded currency pairs in Foreign Exchange Market (FOREX)
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...reticulating splines...

Projects

Click on Projects to See More

  • Projects
  • Blog
  • Community
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Predictive Analytics
Facial Emotion Recognition

A client is interested in creating a mobile AI program that accurately recognizes the emotion from facial images. Given a set of 2,500 facial images with 22 different emotions, enhance accuracy over current practice of boosted decision stumps while also reducing computational and space complexity

Study Group

A social network that connects students and streamlines the formation and function of a study group. The application compares student’s user input “study-time” schedules and makes suggested introductions between students and groups based on compatible schedules. StudyGroup also allows students to connect, post, and share data easily

Fire App FDNY

This R Shiny app supports in the visualization and understanding of report data from FDNY calls. The app features a heatmap to visualize the areas of highest demand, interactive plotting to obtain specialized information on precise areas within the city, and detailed analysis for potential areas of improvement in performance
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Does Finance Imitate Art?

This post investigates the sentimentality of words to analyze the lyrics of 125704 songs to assess the overall movement of artistic (public) emotion through the years. Then, compares the yearly movement of the musical sentiment against the movement of the stock market. Are they connected? Read to find out (code can be found on GitHub)
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R-Tableau Tango

An introduction to using R in Tableau. This post covers the setup, works through some simple examples, discusses the limitations of R in Tableau, and provides alternative methods to get the most out of R and Tableau.
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Covid Travel

This project takes a retrospective look at how the virus spread within the United States by the actions (or inactions) of mobility of the population. Did the Stay At Home Orders work? Did the amount of travel in regions affect the spread of the virus? How did air travel affect the spread? Let's find out...
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Predicting Bitcoin Prices

This paper analyzes model performance in the prediction of future Bitcoin prices using daily sample price data between January 02, 2019 and March 31, 2021 using Autoregressive Integrated Moving Average (ARIMA) and Long Term-Short Memory (LSTM) networks.
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LSTM Mean-Variance Portfolio Optimization

This paper introduces different adaptations of Long Short-Term Memory (LSTM) models to predict the expected returns and volatility preceding portfolio optimization with Mean-Variance Optimization (MVO)
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Pandas Bamboo

Say goodbye to limitations and embrace the power of Bamboo, the ultimate drop-in replacement for Pandas in Python. Speed up your production pipelines while still maintaining all the features of python you love. Revolutionize your data manipulation and analysis with a package that combines efficiency, versatility, and ease of use.

Contact

Please feel free to reach out to me for anything. I always enjoy a good conversation.

New York, NY