Customer Associate Service

Tyler B. Shubert

Data Analytics, Python, Solidity

Phone: 347-***-**** Email: ************@**********.*** LinkedIn: https://www.linkedin.com/in/tyler-shubert-712489234/ GitHub: https://github.com/TylerShubert Software Experience:

FinTech Boot Camp, Columbia Engineering

Machine Learning Application in Finance Blockchain and Cryptocurrency

● Algorithmic Trading, Random Forests

● k-Nearest Neighbors, Support Vector Machines,

Scikit-learn, Regression

● k-Means Clustering, Neural Networks

● Forecasting, Amazon Web Services

● Amazon Lex/Lambda

● Monte Carlo Simulation

● Solidity, Smart Contracts, Consensus Algorithm

● Transactions, Validation, Distributed Ledger

● Bitcoin,Ethereum, Cryptocurrency, Mining

● Truffle Suite

● Ganache

● MetaMask

● Web3

University of Michigan - Python Development. - Python Data Structures

● Python built-in data structures, Data Analytics & visualization Google Data Analytics Career Certificate (in progress, estimate completion date January 2023)

● Key analytical skills (data cleaning, analysis, & visualization) and tools (spreadsheets, SQL, R programming, Tableau)

● Clean and organize data for analysis, and complete analysis and calculations using spreadsheets, SQL and R programming

● Visualize and present data findings in dashboards, presentations and commonly used visualization platforms Software Languages:

Python, Solidity, SQL, R, Java, C++, JavaScript,APIs, HTML5, ETC. Software Libraries:

Pandas, Streamlit, Flask, Folium, Matplotlib, Jupyter, Pathlib, SQLAlchemy, Numpy, C++, PyViz, SciPy, ETC Professional Experience:

Peer to Peer Car rental app with Web3 Payments Link To Github 1. Python based With Streamlit interface

2. Uses JSON files to link Python & Solidity

3. Successful transactions using Ethereum test network. Financial Planner with Amazon Lex Link to GitHub 1. Financial planner to help people plan for retirement with Amazon Lex 2. Predictive analysis and simulations with future returns, recommend portfolios based on personal risk tolerance.

3. Leveraged Python extension called Folium to help create interactive maps of proposed target investments against risk scores of planners

Location based house price forecaster Link to GitHub 1. Used Monte Carlo simulation to predict most profitable places to buy a home 2. API based live currency convert

3. GeoLocation maps VIA Folium

‘PyChain’ Financial ledger Link To GitHub

1. Python based blockchain ledger for financial transactions 2. Streamlit interface

3. User Adjustable Variables.

Skills:

Data Science, Machine Learning, E-Commerce, Neural Networks, NumPy, Blockchain, FinTech,TenserFlow, Artificial Intelligence(AI), Deep Learning, Quantitative Analytics, API Management, Data Analytics,MAtPlotLib, Data Analysis, Artificial Neural Networks,Git, GitHub, C++, Tableau, Rest APIs, Customer Service, PySpark, GeoVisualization, Monte Carlo Simulations, Jupyter Lab, Pandas, PyViz, Folium, Bitcoin, ETH, Solidity, Truffle, Ganache, Natural Language Processing (NPL).

Education:

Alumni of nassau community college (Associate of Science in Accounting) Colombia Engineering ( FinTech BootCamp)

University of Michigan(Python Development & Data Structures) Google (Data Analytics in progress)

Other:

Teaching Assistant, edX/Columbia University, New York December 2022 - Present

Knowledge of Python, SQL, Data Analytics & Visualization Customer Associate, Parts & Accessories, CROSSBAY MOTORSPORTS, New York May 2018 – Present

4+ years of experience as a senior customer service associate at a growing parts and accessories retail location in New York. I get the chance to take a very customer-centric approach to my work as I own several aspects of the lifecycle including Customer Excellence, Order Management, Sales/Relationships and Inventory Management

Write Python programs to solve day to day problems & improve customer experience.

Ecommerce sales; Local inventory live updates via API pulls from distributors

Leveraging HTML and Javascript for Web development & Website updates

Navigate complex customer interactions (via phone and in-person) and enable strong understanding of our products/services and drive higher customer satisfaction scores

Handled inventory, ordering, sales, and customer service responsibilities for this retailer in the “power sports” industry (motorcycles, side x sides, jet skis, and ATVs)

Complete physical inventory for thousands of parts and reconcile amounts with LightSpeed inventory management system. Detect discrepancies, correct in software, and inform the manager. Communicate with employees to aid in the reconciliation process. Customer Associate, Parts, Accessories & Ecommerce, ISLAND POWERSPORTS, New York Mar 2014 – Jun 2017

Ecommerce Manager, Retail Sales, Wholesale/Export Sales

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