Python Aws

SCOTT ANDERSEN

Chicago, IL *****

Phone: 224-***-**** Email: ***************@*****.***

LinkedIn: linkedin.com/in/scott-andersen-3208897b/ GitHub: https://github.com/scottandersen23

HackerRank: https://www.hackerrank.com/scottandersen23

Summary

FinTech Programmer with a certificate from Northwestern University. Hands on experience developing machine learning models for investment forecasting and quantitative analysis. Qualifications encompass collaborating across teams to research and solve business problems in a timely fashion. Excellent communication skills, regularly presenting to executive staff, implements feedback to maximize results. Proficient writing scripts in Python, debugging, and cleaning data with a vast number of packages for development. Actively working on projects within the cloud using AWS Lambda. Most recently, predicting returns for Bitcoin and Ethereum using an XG boost, random forest model. Passionate about creating applications that benefit others in the world of finance. Enjoys working in a focused team environment with people passionate to do great things.

Technical Experience

Languages: Python, PostgreSQL, Solidity, Java Script

Libraries: Numpy, Pandas, Matplotlib, Plotly, Seaborn, Tableau, Dash, Panel, Keras, Scikit-Learn, etc.

Machine Learning: Neural Networks, Decision Trees, Natural Language processing, Random Forest, Deep Learning

Models: linear & logistic regression, ARMA, ARIMA, cluster, classification, SVM, LSTM, Gradient Boost, Ada Boost

Cloud: AWS Lambda, SageMaker, S3, CloudWatch, Docker, Google CoLab

BlockChain: Ganache, Remix, MetaMask, MyCrypto, Shrimpy, Ethereum

Recent Projects

Mantis Trading: Bitcoin Trading Bot: October 2020

GitHub: github.com/scottandersen23/Data_Science/Portfolio/Recent_Projects/MantisTrading

Collaborated on a group project trading Bitcoin and Ethereum, contributed python code to develop a trading algorithm for predicting buy signals from the Shrimpy API. Our objective was to understand volatility among coins and create a strategy for accumulating cryptocurrency.

Tools/Languages used: Python, Pandas, Matplotlib, NumPy, Ganache, Remix, Solidity, Shrimpy, MetaMask

NASDAQ prediction model on AWS: August 2020

GitHub: github.com/scottandersen23/Data_Science/Portfolio/AWS/NasdaqPredictor

Created an application that runs on AWS, that sends a daily/weekly alert email to subscribers with 10 stocks that are expected to outperform the Nasdaq the following day. Our goal was to alert the user of potential gainers for the upcoming week and predict stock prices using machine learning.

Tools/Languages used: Python, Pandas, Matplotlib, AWS SageMaker, CloudWatch, S3, Docker, Dash-Plotly

FINDING Alpha Sector Returns: May 2020

GitHub: github.com/scottandersen23/Data_Science/Portfolio/Recent_Projects/Sector_Returns

Work Experience

Practice Management Consultant 2019-2020

Rectangle Health Chicago, IL

Responsible for improving financial services and technology within private practice healthcare payments market.

Implemented secure payments platform to enhance client data security and maintain HIPPA compliance and PCI Dataset Security.

Technologies: Python, SQL, Pandas, NumPy, Jupyter Lab, Shell scripting, Requests, AWS

Financial Technology Consultant 2018-2019

Serrala Inc. Chicago, IL

Enterprise support in finance for Fortune 500 clients working in SAP environment.

Provided research analysis to account managers for targeted growth strategy efforts.

Technologies: Python, Pandas, NumPy, SQL, SAP

Software Consultant 2015-2018

Verizon Connect Rolling Meadows, IL

Top 10% of reps in Verizon’s IoT segment, 108% to target in my final 18 months with the company.

Increased revenue selling SaaS contracts to Logistics and Utility companies in North America.

Technologies: Python, NumPy, Pandas, SQL, Salesforce

Education

FinTech Certificate: Northwestern University, Evanston, IL

-Graduated: 2020, GPA: 3.8

Bachelor of Arts in Communications: University of Wisconsin-Milwaukee, WI

Contact this candidate