Machine Learning Data Science

BT

BRYAN TRAMMELL

**************@*****.*** 434-***-**** Richmond, VA 23238

Highly analytical and detailed-oriented professional. Leveraging strong foundation in statistics, math, and computer science to address critical business problems. Seeking to apply my knowledge in predictive modeling and machine learning techniques in a data science role. Passionate about transforming data and delivering actionable insights to help optimize strategic business decisions. Committed to continued learning and staying current on the best practices in data science.

Python, Excel

Machine Learning, Convolutional Neural Networks

Descriptive, Inferential, Statistical Analysis

Regression Analysis, Ordinary Least Squares

Decision Tress, Random Forest

Numpy, Pandas, Scikit, SKlearn, Seaborn, Matplotlib, Statsmodels, TensorFlow, Keras, XG Boost, KNN, Librosa, Networkx, Surprise, mSSA

Financial modeling and forecasting

Boston House Price Prediction

Predicted the housing prices of a town based on the features of the locality Exploratory data analysis. Clean and prepare data. Created prediction model using supervised learning and regression Evaluated OLS models and linear regression. Used Ridge, Lasso, Elastic net regression regularization and XG boost techniques

Cross validated model

Used Car Price Prediction

Predicted the housing prices of a town based on the features of the locality Exploratory data analysis. Clean and prepare data. Created prediction model using supervised learning and regression Evaluated OLS models and linear regression. Use Ridge, Lasso, Elastic net regression regularization and XG boost techniques

Cross validated model

Futures Micro Structure Analysis

Tracking how much positive (negative) delta is generated relative to the amount of volume at or above (below) the ask

(bid). These ratios are smoothed to give us two oscillators which are then processed to generate our range hi/low values based on the recent average peaks and troughs of each oscillator Synthesis of detailed orderflow information which opens up monitoring auction aggression and generating signals Grey Box AI Richmond, VA

Co-Founder and Co-Owner

05/2023 - Current

Founded a cutting-edge signal generation company that uses Python to generate profitable trading signals, significantly enhancing trading efficiency and profitability

Optimized position sizing through the application of the Kelly Criterion, ensuring optimal growth of the portfolio while managing risk Utilized robust data analysis and machine learning techniques in Python to Summary

Skills

Projects

Experience

improve signal generation and prediction accuracy. Hippo Lending Richmond, VA

Member Advisor

02/2022 - Current

Analyzed applicant income and assets to appropriately qualify them for loan products

Analyzed start ups for potential funding by analyzing their business plan, pro forma balance sheets, and global debt service coverage ratio Structured start up analysis for C-Suite to approve for funding SOLARFIED ILLINOIS, LLC Highland,

Illinois

Co-owner and Co-founder

08/2019 - 08/2022

Personal business founded to promote brand, serving as an authorized dealer of CR Solar Installations

Managed online marketing platforms including ClickFunnel, Aweber, OnceHub, Jotform, Adobe Creative Cloud, and Zapier Extensive experience with different CRM platforms, including Salesforce and SalesRabbit

Designed, managed and maintained company website by writing content, directing video designs and designing email, HTML and in-text email promotions

Expanded new businesses by developing effective sales, advertising, SEO and marketing campaigns.

CR SOLAR INSTALLATIONS Highland,

IL

Solar Sales Manager

08/2019 - 07/2020

Direct sales and marketing of residential solar installations. GORDON LONG CAPITAL

Charlottesville, VA

Financial Associate

01/2017 - 07/2018

Assisted the Managing Principal in analysis of acquisition targets in middle market niche apartment complexes

Evaluated IRR, Stabilizer Return on Cost, Cap Rate Developed thorough knowledge of the product and the rental community Contacted Financial Advisors to inquire about an RIA buy-outs Financial modeling and forecasting

Used Monte-Carlo, Variance, and Noise testing to validate systems. MIT

Professional Education in Data Science

06/2023

WorldQuant University

Financial Engineering

01/2019

UNIVERSITY OF MARY WASHINGTON Fredericksburg, VA Bachelors Degree in Business And Economics

05/2013

GPA: 3.5, Varsity Men's Lacrosse

Education and Training

Contact this candidate