Full Stack Python Developer

Julio Cernadas

LinkedIn: http://bit.ly/jcern* • GitHub: http://bit.ly/jcern2 • www.julio-cernadas.com • ******@********.***.*** Professional Summary

UMD finance major and Byte Academy graduate with a passion for learning and research. I aim at leveraging technology to advance our understanding of capital markets. Abilities include fullstack programming, database management, financial modeling and trading strategy. Technical Skills

Languages: Python, C/C++, SQL, JavaScript, Bash, Git, HTML/CSS Databases: MySQL, SQLite3, Postgres SQL, MongoDB Quantitative Packages: Pandas, Numpy, Alphalens, STL, Boost Data Science: Scikit-Learn, Scipy, NLTK, Tableau, Tensorflow Certifications: Bloomberg Professional Market Concepts, Other: Data Structures, Algorithms, Valuations, Derivatives, Google Advanced Analytics, Internet Core Competency Quantopian Algorithms with Python, Black Scholes Model

*Order of Proficiency

Projects & Experience

GitHub Project Developer, Quanto, College Park MD December 2018 - Present

• Designing a systematic research app for probing statistical arbitrage opportunities and risk management of equities and derivatives.

• Efficiently ran Binomial Trees, Monte Carlo and Black Scholes models. Technologies: C++ (STL, Boost, CMake), Python, SQL, Git. NLP Machine Learning Developer, Centiment Trader, New York NY August 2018 – September 2018

• Developed a financial news sentiment analysis web app that uses supervised machine learning with natural language processing to predict price trends and polarity crossovers. Technologies: Python (Scikit-Learn, NLTK, Pandas, Numpy), JavaScript, Flask, SQL, Git.

• Implemented web crawler for live news scraping and stored clean text via a self-crafted object relational mapper for ETL frameworks. Full Stack Python Developer, Byte Academy, New York NY May 2018 – August 2018

• Developed ‘Academy Trader’ an investing web app used for paper trading that keeps track of user balance, p/l, positions and margin.

• Fetched real-time API data feeds for stock prices and detailed information. Technologies: Python, JavaScript, SQL, & HTML/CSS.

• Completed training course focused on predictive modeling, database management, data visualization and back-end development. Digital Marketer, MCH Healthcare Smith School of Business, College Park MD January 2018 - May 2018

• Crafted an SEO/SEM strategy including social media optimization and web design to increase conversion rate and organic traffic.

• Enhanced online presence through digital marketing methodologies to drive business profitability and awareness for MCH Healthcare. Summer Intern, McAdam Financial Advisors, Woodbridge NJ May 2017 - August 2017

• Prepared risk evaluation and exposure reports on annuities for several fund clients. Crafted discounted cash flow models with excel.

• Applied fundamental analysis to propose alternative fixed income securities for Roth IRA portfolios.

*References Available

Activities

Executive Board Treasurer, Alpha Delta Phi Fraternity, College Park MD August 2017 – May 2018

• Forecasted the 2017 annual budget and evaluated weekly cash flows for the fraternity via excel spreadsheets and data-frames.

• Pioneered strategies to minimize expenses while increasing quantity and quality of philanthropic events. Organization Treasurer, Progressive Republican’s Club, College Park MD September 2018 - Present

• Actively involved in managing dues and focusing on the correlation between tech developments and republican agenda. Trading Mentor & Former President, Community of Aspiring Shareholders, College Park MD September 2016 – Present

• Led macro-analysis discussions with club members to identify alpha opportunities and developments across capital markets. Volunteer Organizer, Business Leadership in Society, College Park MD September 2015 – May 2018

• Exercised leadership skills through organizing community service events at homeless shelters in Washington, DC. Academic Scholar, College Park Scholars Program, College Park MD August 2015 – December 2017

• Admitted into University of Maryland’s Justice & Legal Thought Scholars program which focused on modern political solutions.

*References Available

Education

Byte Academy – Immersive, New York NY Fullstack Python Programming

• Certificate, Fin-Tech & Data Science Class of 2018 University of Maryland, College Park MD Smith School of Business

• Bachelor of Science, Finance - GPA: 3.22 Class of 2019

• Relevant Coursework: Futures & Options Contracts, Essential Data Skills for Business Analytics, Text Mining for Finance with Python

Contact this candidate