Diego Duque Email & Phone Number

Deerfield, Il, Us

San Francisco, California, Us

Created Risk & Payments analytical models for Uber Community Operations (CommOps) to identify possible rider and eater abusers.Testing Generative AI (Gen AI) integration with SQL queries using Gemini (Google) and ChatGPT (OpenAI).Maintenance and improvement of existing SQL queries and tables for Presto and Hive.Development and maintenance of different SQL tables regarding risk in Commercial Operations (CommOps).Automated over 20 analytics processes using Python standard packages like NumPy and Pandas, as well as other packages developed in-house.Creation of Risk data visualizations and dashboards using Looker Studio (formerly Google Data Studio) and Tableau for non-technical audiences.Advanced Data Science predictive models such as Regression Models, A/B Testing, and Outliers Models for Community Operations (CommOps).

Amsterdam, North Holland, Nl

Identified research trends, drove decision for content acquisition, merging big data sets to perform predictive models, and created data dashboards using Tableau and Power BI.Worked with data mining and integrating big data sets to perform predictive analytics and classify content enrichment pipelines supporting clinical decision support and search algorithms on Amazon Web Services (AWS).Analyzed extracted information to drive business processes as automated and manual data cleansing.Implemented BERT & Natural Language Processing (NLP) model sentimental analysis for classification of definitions used in information retrieval.Developed a code on Python for medical corpus for enrichment and improvement of medical terminology searches.Designed, prototyped, and implemented TDM/Machine Learning (ML) and automation applications for businesses.

New York, Ny, Us

Completed a licensed full-time data science & analytics bootcamp focused on Python, data analysis, statistics, supervised and unsupervised machine learning algorithms, natural language processing, and business analysis. Selected project includes:Tweets about Apple (Natural Language Processing): Built an NLP with 9 topics for modeling using CountVectorizer and Non-Negative Matrix Factorization (NMF). NLTK Vader to get sentiment test and K-Means using TSNE using K=2.Predicting Chicago Food Establishment Inspections (Classification): A dataset of over 200,000 food inspections were used to predict which establishment to target and increase efficiency of the inspection process. Built a classification model using Pandas, Numpy, KNN, Random Forest, and XGBoost - XGBClassifier.Airline overbooking model (Business Analysis): Using data from the Department of Transportation to find that the number of people bumped from flights is in the minimum in the last 3 decades. The model was built using the probability of no-show and a Binomial Function on Python.Movie Suggestion for Movie Studio (Linear Regression): Over 20 years of movies scrapped using BeautyfulSoup and Selenium from Box Office Mojo, resulting with 2000 movies. Pandas, datetime, and Numpy were used to do the linear regression modeling: Ordinary Least Squares (OLS), Ridge CV, and LASSO CV. For plotting Matplotlib, Seaborn, and StatsModels.MTA subway demand during COVID-19 (Exploratory Data Aanalysis): Analyzed the NYC subway turnstile 2019 - 2021 data that contains over 2 billion entries. Pandas, StatsModels, and Numpy for data manipulation, Matplotlib and Seaborn also were used for plotting.

San Francisco, Ca, Us

Data analysis for over 500,000 small business that are active on the Yelp paid advertising platform.Creation of Return on Investment (ROI) model for small businesses that use the Yelp paid services like advertising and online reservation.Facilitated partnerships with a variety of small businesses in a highly competitive quota-carrying role.Surpassed every quota due to the use of analytics suing SalesForce cloud databases.

Cupertino, California, Us

Created and implemented model that allowed training of two employees simultaneously, increasing efficiency and reducing training time by 50% for new specialists.Educated more than 45 business customers’ teams in Apple iWork office suite (Pages, Numbers, Keynote) and how to share their work in real time on Apple devices or any web browser through iCloud.Contributed to storewide sales increase of 8% during last 3 consecutive quarters at the Michigan Avenue Store, one of few Apple Stores flagship worldwide.Responsible for 800+ data migrations, including encrypted data.

Coordinated the creation of IBICLA, first Chicago based Spanish educational institute focused on immigrants in the U.S. Data analysis on “dollar invested/new students” that led to total budget savings of 18%. Created a database with 30,000+ prospective students and 40 volunteers for all different projects the first year. Google Analytics for advertising and marketing optimization.

Guadalupe Inn, Distrito Federal, Mx

Directed 160+ provider accounts data into web-enabled NetSuite Oracle financial platform.Collected, prepared, and analyzed 6 years of customer and prospective client data including age, gender, household income and car model to predict customer behavior, leading to 4% increase in customer base within first quarter after model was applied.Designed NetSuite finance system capable of recording and processing accounting transactions within functional modules such as accounts payable, accounts receivable, journal and payroll.

Caracas, Estado Miranda, Ve

Created linear regression models and Analytical Hierarchy Process (AHP) model using R.Analyzed Capital Expenditure (CAPEX) data for all new projects with team of two professionals and led monthly meetings with directors to analyze spending and provide financial recommendations on 200+ projects.Evaluated and tracked USD $35M in investments using tools such as SAP FICO, Excel logical functions and pivot tables.Tracked payment progress for 5-10 general contractors to ensure accuracy in construction of more than 20 new branches within 10 months.

Maracaibo, Zulia, Ve

Consolidated financial data and materials for key leadership meetings.Preparation of procurement reports based on projects financed by Inter-American Development Bank (IDB).Performed complex financial and budget analysis to determine budget requirements, improve internal controls and justify requested funding from Capital Expense (CAPEX) and Operational Expense (OPEX) departments.Monitored and analyzed financial, statistical and operational data trends.

Master'S Degree, Finance, General

Bootcamp, Data Science And Analytics

Bachelor Of Business Administration - Bba, Business Administration And Management, General