Summary
Overview
Work History
Education
Skills
Certification
Languages
Timeline
Generic

Jacob Iacovoni

Plymouth,MI

Summary

Hardworking and passionate job seeker with strong organizational skills eager to secure entry-level Data Analytics position. Organized, dependable candidate, able to manage multiple priorities with a positive attitude. Willingness to take on added responsibilities and to help team achieve company goals.

Overview

1
1
Certification

Work History

Delivery Driver

Jimmy John's
06.2021 - 08.2021
  • Handled catering orders in excess of $2000 resulting in a 97% satisfaction rating with customers
  • Completed on-time deliveries by choosing best and most efficient routes.
  • Completed rush deliveries on tight timetables to satisfy customer needs.

Education

Proactively learned SQL, Tableau, RStudio, and Google Spreadsheets Virtual -

B.A - Economics

Michigan State University
East Lansing, MI

Relevant Coursework: Algorithmic Thinking/Programming, Statistical Methods, Calculus (I, II), Intro to Data Analytics, Computational Modeling and Data Analysis (I, II), Intro to Probability and Statistics for Business, Intro to Econometrics Google Data Analytics Certificate - undefined

Skills

  • Technical Skills:
  • Python, RStudio, SQL, Stata, Google BigQuery, Microsoft Office Suite, Google Sheets
  • Data Visualization: Tableau, Power BI
  • Python Libraries: pandas, skLearn, numPy, SciPy, Seaborn, Matplotlib, dplyr
  • PROJECTS
  • Professional Soccer Machine Learning Predictions December 2022
  • Data Cleaning: Assorted and cleaned data for all games from the 2020-2022 seasons of the English Premier League
  • Machine Learning: Predicted the results of the 2022 season with 62% accuracy by training/test splitting with dummy variables and then running a Machine Learning model using skLearn, Numpy, Pandas
  • Tools Used: skLearn (RandomForestClassifier, Accuracy_Score, Precision_Score), Pandas
  • Predicting Fake News by Number of Retweets December 2022
  • Test/Train Split: Imported a Kaggle training data set with article title, article website, number of retweets and a label column with binary 1 or 0 for true and false
  • Artificial Intelligence: Predicted the results of the training set with 100% accuracy using a Perceptron machine learning model and got output weights for future predictions
  • Tools Used: Pandas (importing dataframe), Numpy (arrays, dot product, and iterations), Matplotlib
  • NFL Data Visualizations September 2022
  • Data Cleaning: Collected data for NFL seasons starting with 2002 until 2022, finding trends in general win rates, coaches, injury rates and player salaries using Excel
  • Data Visualization: Created a dashboard model in PowerBI by importing the data from Excel and plotting the most significant factors in team's win rates
  • Tools Used:
  • RStudio, Microsoft Excel, PowerBI
  • Machine Learning Model for GDP & Debt to GDP Ratio December 2021
  • Created a model using regression analysis and Python that predicts a nation’s future economic gains
  • Gathered financial data from various sources and then used data analytics Python libraries and JupyterNotebooks to conduct regression analysis to create visualizations for the regressed curve, actual data, and then the debt to GDP ratio in one plot
  • Libraries Used: NumPy, Pandas, Matplotlib, SciPy

Certification

Google Data Analytics Certification

Languages

Spanish
Italian
French

Timeline

Delivery Driver

Jimmy John's
06.2021 - 08.2021

Proactively learned SQL, Tableau, RStudio, and Google Spreadsheets Virtual -

B.A - Economics

Michigan State University

Relevant Coursework: Algorithmic Thinking/Programming, Statistical Methods, Calculus (I, II), Intro to Data Analytics, Computational Modeling and Data Analysis (I, II), Intro to Probability and Statistics for Business, Intro to Econometrics Google Data Analytics Certificate - undefined

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Jacob Iacovoni