Daniel L. Kennett
DATA SCIENTIST
adl8kp@r.postjobfree.com
GitHub.com/daniellkennett
LinkedIn.com/in/daniel-kennett
PROJECTS
NLP Earnings Call Predictor
github.com/daniellkennett/Earnings_Call_NLP_Analysis Developed a Random Forest Classifier to predict quarterly ticker growth as compared to respective indices using company Earning Call Transcripts.
● Developed a data collecting process consisting of Financial Modeling Prep and yFinance APIs to retrieve Earnings Call Transcripts and relevant stock data.
● Trained a Random Forest Classifier model using TF-IDF, sentimental analysis, and lexicon complexity to predict index outperformance.
● Simulated trades suggested by model recommendations on small-midsized technology companies to outperform the Vanguard Information Technology Index by .97% over each quarter. BERT QA on Financial Documents
https://github.com/daniellkennett/Earnings_with_BERT Can we take advantage of Google’s highly trained Bert model to refer to company documentation and answer user inputted questions?
● Leveraged Transfer Learning, Tensorflow, and Google Cloud to train a “chatbot” that has the ability to reference earning call transcripts and answer questions for easier understanding.
● Created a pipeline to preprocess the SQuAD dataset and fine-tune the Recurrent Neural Network.
WORK EXPERIENCE
Personal Finance Advisor
United States Marine Corps 2019 - 2021
Taught quarterly financial literacy courses to Marines in a department with up to 55 personnel that enhanced their fiscal health.
● Oversaw recovery and allocation of more than $650K in personal investing funds and advised up to 50 personnel, across many different specialties, on financial health, including payroll, life insurance, investments, and mortgages.
● Increased awareness in the workplace on how to analyze financial knowledge and health, mentored individually as well as up to 20-person group classes on debt reduction plans, budgeting, and investment portfolio management.
Public Affairs Manager
United States Marine Corps 2019 - 2021
Led a 5-person marketing team, coordinated social media programs, and increased community outreach to up to 400K viewers.
● Managed the public face of the organization, incorporated data analytics to monitor social media marketing outreach, timing, and effectiveness, and grew average online engagement by 10%, from 15K to 16.5K viewers.
● Engaged with external media representatives on more than 10 large events, coordinating all marketing efforts and organizing events with up to 2K attendees.
● Maintained a robust community and interagency relations program with over 18K social media viewers; assessed needs, created statistical analysis, identified opportunities to expand and grow reach by 6% within the first 30 days.
SKILLS
Python
Pandas
NumPy
SciPy
Sci-Kit Learn
Data Science
Machine Learning
NLP
Topic Modeling
Data Cleaning
Feature Engineering
A/B Testing
Regression Models
Classification Models
Big Data/Database
SQL
PostgreSQL
MongoDB
Apache Spark
AWS S3
AWS EC2
Data Collection
Web Scraping
BeautifulSoup
Workflow Environment
Docker
VSCode
Jupyter Notebook
Google Collab
Data Visualization
Matplotlib
Plotly
EDUCATION
Data Science Immersive
Galvanize
2020
MS - Financial
Management
Boston University
2019– 2020
BA - Music Performance
2011 - 2015
AWARDS
Navy and Marine Corps
Achievement Medal
2021
Navy and Marine Corps
Achievement Medal
2019