Data Analyst, Python, SQL

Matthew Pucci

Boston, MA ***** 508-***-**** ****.*******@*****.*** GitHub LinkedIn

Business and Data Analytics

Data driven, hard-working individual, who enjoys tackling new and complex challenges with my multi-faceted problem-solving skill set. Experience in data acquisition and data modeling, statistical analysis, machine learning, deep learning, and NLP. I have a passion for data driven insights leveraging my knowledge of econometrics and business with Python to help drive results and efficiency. Possess a unique blend of business operations experience and analytic programming knowledge that allows me to get up to speed and contribute to any team quickly and effectively.

TECHNICAL SKILLS

Python, OOP, SQL, SQLAlchemy, scikit-learn, NumPy, Pandas, Keras, HTML, Excel, Looker, Tableau, PowerBI, Salesforce. TECHNICAL PROJECTS

NBA Predictive Model - Github

Analyzed and interpreted over 130 feature variables to develop a model to predict who will win an NBA game.

● Leveraged KNN, Gradient Boost and Random Forest classification models to test out prediction accuracy.

● Utilized GridSearchCV with over 800k total fits to optimize parameter tuning.

● Final model is able to take team abbreviations and predict game outcomes with 80% accuracy. Real Estate Investment Opportunity Zones - Github

Identified top real estate investment areas using a Zillow dataset ranging from 1996-2018 using an ARIMA time series model.

● Identified appreciating zip codes over time using a function that computed year over year value growth.

● Imported JSON location information and visualized growth zones by using Choropleth and Folium.

● Forecasted average home price in top appreciating areas by optimizing parameter tuning using an ARIMA model.

● Calculated upside and downside potential in percentages for all areas by creating unique functions. EMPLOYMENT HISTORY

Software Configuration Analyst, Toast, Inc. – Boston, MA 01/ 2020 - 05/ 2020

● Drove analytical rigor using SQL, Excel and numerous BI tools to enhance Toast Online Ordering, Gift Card and Loyalty.

● Worked cross-functionally with Product, Engineering and Business Intelligence to provide insights for process improvements.

● Leveraged Python visualization tools such as Seaborn, Folium, Tableau among others to provide internal and external insights.

● Develop effective dashboards and KPIs using analytic tools to present data that can be consumed rapidly by decision makers. Sales & Strategy Operations, Perforce Software – Boston, MA 07/ 2018 - 08/ 2019

● Conducted market research and forecasting to develop financial and sales strategies for Rogue Waves expansion initiatives.

● Effectively communicated with high level architects and developers to ensure products are properly configured.

● Worked alongside engineers to develop relevant product demonstrations for twenty different Java/J2EE products. Summer Analyst, Beaumont Financial Partners – Needham, MA 06/ 2017 - 08/ 2017

● Worked daily with Salesforce, Excel and SQL databases helping to manage campaigns and update and edit client information.

● Analyzed market data, global demographics and trade and debt comparisons with Bloomberg and Morningstar.

● Extensive use of various investment platforms to research specific investments (securities, ETF’s, hedge funds, etc.) Global Markets Summer Analyst, BNY Mellon – New York, NY 06/ 2016 - 08/ 2016

● Conducted research on interest rates, equities and currency and commodity derivatives to assist clients investing and trading goals.

● Worked with Bloomberg, Excel and other tools to assist commercial and corporate clients with risk management products. EDUCATION

Flatiron School, New York, NY 05/2019 - 12/2019

Topics studied include Python, data structures, relational databases, SQL, OOP, NoSQL, JSON, HTML/XML and web scraping. Gettysburg College, Gettysburg, PA 2014 - 2018

Bachelors of Arts - Major: Economics Minor: Business

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