Sales Information Technology

Roberto Jourdain

Vista, CA ***** ******@*****.*** 760-***-****

https://github.com/rojour

Data Scientist/Analyst

Analytics of Business Operations, Sales, Financial Management and Planning

Improving Business Operation and Analytics, Efficiency, Quality and Costs for Continued Business Growth

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EXECUTIVE SUMMARY

A visionary with a zeal for improving business operations through the use of technical tools and solutions. Extensive expertise in the restaurant, hospitality and manufacturing industries. Domestic and multinational business operations experience with a proven record of transformational management, leadership, performance enhancement and profit improvement.

CORE COMPETENCIES

• Data Mining / Databases • Information Technology • Strategic Planning

• Financial Management / Analysis • Leadership / Team Building • Business Development

• Ecommerce • Market Analysis / Sales Forecasting • Sales & Marketing

PROFESSIONAL EXPERIENCE

DATA ANALYST & GM 1996 – Present

BGJ RESTAURANTS INC. Encinitas, CA

A group of restaurants serving traditional Mexican cuisine. Oversaw financial planning and administration, prepared financial and production analyses, managed daily operations of two restaurants. Led all marketing decisions, advertising and marketing campaigns. Designed a database to analyze sales performance and labor costs. Designed the corporate website and studied web analytics to reach the company’s clientele.

For over 17 years, designed relational databases (FileMaker, similar in concept to SQL) to analyze payroll and production costs.

From 2012 learned Python and created a system to scrape information out of POS System creating a MongoDB database to analyze sales, costs and labor expenses.

Created a sentiment analysis in R for customer comments.

Introduced an efficient and robust system to secure valuable data from the point of sale system that resulted in improved performance and analysis.

Created a system to analyze performance of a multiunit restaurant operation that included bookkeeping and reporting, identifying the essential aspects required by every level of the organization.

Designed and established the online presence for the company that included a website, social media, email campaigns and Google Analytics.

Identified theft and a lack of discipline in the kitchen through data analytics, institute an action plan that led to enhance quality, efficiency and cost savings.

$250,000 turnaround facilitated in less than six months by implementing leadership and problem-solving acumen into the business.

550% boost in sales across an eight-year period achieved by leading a solid marketing campaign, paying attention to the details and continually analyzing the results.

EDUCATION & CERTIFICATION

Bachelor of Science in Mechanical Engineering, Universidad de las Americas

Professional Development & Certifications

Machine Learning & Neural Networks

SQL, MongoDB, FileMaker

Python, R, Scala

Spark.

Learned C/C++ at UCSD

Knowledge of financial planning and management, business operations, sales, etc.

Coursera:

Deep Leaning Specialization – deeplearning.ai – Current

oNeural Networks and Deep Learning – Sep 2017

oImproving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization – Oct 2017

Machine Learning – Stanford University – May 2016

Machine Learning Foundations: A Case Study Approach Specialization – University of Washington

oRegression – Sep 2016

oClassification – Oct 2016

oClustering & Retrieval – Oct 2016

Udacity:

Artificial Intelligence – Nanodegree – Current

Intro to Machine Learning

Data Wrangling with MongoDB

Intro to Hadoop and MapReduce

Intro to Inferential Statistics

Intro to Descriptive Statistics

Linear Algebra Refresher Course

Udemy:

Python for Data Science and Machine Learning Bootcamp

Scala and Spark for Big Data and Machine Learning

Learning Python for Data Analysis and Visualization

Machine Learning A-Z Hands-On R and Python for Data Science

Data Science: Deep Learning in Python

Deep Learning Prerequisites: The Numpy Stack in Python.

DataCamp:

R Programming – 4 courses

Data Scientist and Data Analyst with Python – 20 courses

Data Scientist and Data Analyst with R – 13/20 courses – Current

MongoDB University:

MongoDB for Developers

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