About Me

Who Am I?

Hi I'm Helena, a recent graduate of the Columbia Engineering Data Analytics Boot Camp, who aims to gain strong experience in data analytics and data engineering. My journey into data analytics stems from my fascination with the insights that data can reveal. With a strong foundation in business, I understand the pivotal role data plays in shaping strategic decisions, driving growth, and optimizing processes.

Being a former DI student-athlete, I've absorbed the values of discipline, teamwork, and unwavering determination. These qualities are not only ingrained in my DNA but also essential in the world of coding. I bring a winning mindset to every data challenge, attention to detail, collaboration, and the achievement of objectives.

What truly defines me is my insatiable appetite for knowledge. I'm highly motivated to learn new things, constantly seeking opportunities to expand my skill set and deepen my understanding of data-related technologies.

Let's connect and collaborate to shape the future of data together!

Data Engineering

Web Design

Database

Web Application

Education

Education

Columbia Engineering Data Analytics Boot Camp

Feb 2023 - Aug 2023

  • The program is focused on teaching students the practical and technical skills needed to analyze and solve complex data problems through an innovative online learning format.
  • The curriculum covers relevant tools and technologies including Excel, Python, JavaScript, SQL Databases, Tableau, and more.
  • Projects align with real-world datasets from various industry data fields like Finance Services, Human Resources, Healthcare and Government.
certificate

University of the Incarnate Word

2019 - 2021

University of the Incarnate Word

2015 - 2018

Minor: Computer Information Systems

  • Sport Management Outstanding Undergraduate Student of the year
  • NCAA Division I Student-Athlete: Artistic Swimming
  • Named by USA Artistic Swimming Honorary All-American Collegiate Athletic Team
My Specialty

My Skills

My skills cover a range of areas, including intermediate Excel proficiency involving pivot tables, VBA scripting, and fundamental statistics. I'm also well-versed in Python programming with expertise in Python 3, NumPy, Pandas, Matplotlib, and API interactions.

My capabilities extend to databases, including Postgres/pgAdmin and MongoDB, as well as ETL process. I'm skilled in front-end web visualization, using HTML, CSS, Bootstrap, and JavaScript charting, along with Geo-Mapping using Leaflet library. I'm familiar with the use of Tableau for business intelligence, and big data analytics using Hadoop and Machine Learning techniques.



Machine Learning

75%

Databases

70%

Python Programming

85%

html-css-javascript

90%

Tableau

70%

Geomapping with Leaflet.js

80%

Data Visualization

90%

Data Analysis

95%
Experience

Work Experience

Graduate Assistant 2019-2021
University of the Incarnate Word

  • Sales Development: Contributed to the strategic growth of ticket sales and enhancing the fan experience for DI NCAA Football, Men and Women’s Basketball, and various UIW sports.
  • Event Operations : Took a part in the success of game day operations. Coordinated player-guest management.
  • Customer Relations: Demonstrated strong interpersonal skills while interacting with customers. Addressed inquiries, provided information about games, memberships and ticket options.
  • Compliance and Regulations: Adhered to NCAA and Southland Conference rules and regulations related to ticket sales and sports promotions.

Human Resources - Legal Recruiter 2018-2019
Thomas J. Henry Injury Law, PLLC

  • Interview Coordination: Coordinated scheduling interviews and travel arrangements for prospective candidates.
  • Administrative Support: Provided essential administrative support across diverse recruiting functions. Efficiently managed tasks such as database maintenance, posting positions on websites and portals, and ensuring accurate data entry.
  • Strategic Staffing: Contributed to filling both existing and future job openings by identifying and engaging qualified candidates. Assisted in building a robust talent pipeline to support the firm's legal and operational requirements.
  • Background Check: Conducted comprehensive background checks and conflict reports on prospective employees. Assisted in evaluating applicants' employment acceptability and potential conflicts of interest.
  • Screening Process: Conducted thorough phone screens, evaluating candidates' qualifications and aligning them with the firm's requirements. Assisted in identifying candidates who demonstrated potential for contributing to the organization's success.

Web Developer Intern 2017-2018
Hudson Web Studio

  • Developed websites using software WordPress, utilizing its versatile features to create responsive and functional web solutions that meet client specifications.
  • Responsible for the complete web development lifecycle, including designing, coding, and modifying websites.
  • Utilized a diverse set of tools and technologies, including Adobe, BigCommerce, Joomla, HTML5, CSS, and JavaScript, to craft dynamic and responsive web solutions that met modern design and functionality standards.

Creative Designer Intern 2016-2017
University of the Incarnate Word

  • Executed promotional campaigns to showcase UIW Club teams, events, and related products. Leveraged targeted marketing to engage audiences and increase awareness across various platforms.
  • Designed and developed web pages, flyers and other promotional materials that effectively elevate the presence of UIW Sport Clubs.
  • Utilized tools and technologies such as Canvas, WordPress and Adobe software.

D-I Synchronized Swimming Assistant Coach 2017-2021
University of the Incarnate Word

  • Athlete and Team Growth: Prioritizing the development of hardworking and disciplined athletes. I placed strong emphasis on teamwork and perseverance to drive individual and team success.
  • Comprehensive Coaching: Assisted with execution of day-to-day team operations. Led training sessions as well as performance preparation for U.S. Nationals.
  • Team development strategies: Contributed to the program's achievements at the highest level of collegiate competition.
My Work

Recent Work

Data Visualization Machine Learning Databases Data Analysis

Belly Button Biodiversity Dashboard

Utilizing JavaScript, HTLM, Python, D3 library to read json files, build an interactive dashboard to explore the Belly Button Biodiversity dataset, which catalogs the microbes that colonize human navels. App is deployed to a static page hosting service, such as GitHub Pages.

Visualizing Data with Leaflet

This project utilizes Leaflet, JavaScript, HTML/CSS and D3 library to visualize the earthquake data from the United States Geological Survey (USGS). App is deployed to a static page hosting service, such as GitHub Pages.

Home Loan Approval Prediction App

We used Machine Learning, HTML/CSS, Python, Flask powered API, to develop a tool that enables user to input a variety of factors, and based on those factors user will get his prediction of approval or rejection of the home loan. The web app is deployed with Azure App Services.

Neural Networks and Deep Learning

The purpose of the analysis is to build a binary classifier using machine learning and neural networks to predict whether applicants will be successful, if they are funded by the nonprofit foundation.

Credit Risk Classification

The purpose of the analysis is to use various techniques to train and evaluate a model based on loan risk. Use supervised mashine learning to analyze a dataset of historical lending activity from a peer-to-peer lending services company to build a model that can identify the creditworthiness of borrowers.

Crypto Clustering

The main objective of this project was to explore, evaluate and discover valuable insights, by leveraging the power of unsupervised learning to predict if cryptocurrencies are affected by 24-hour or 7-day price changes.

NBA Dashboard

A collaborative project to develop a full-stack data visualization web application, using Python Flask-powered API, HTML/CSS, JavaScript, and SQLite database, which will allow users to interactively explore a dataset.

Home Sales with PySparkSQL

Through utilizing PySpark and SparkSQL on Google Colab, this project serves to determine key metrics about home sales data. Then, SparkSQL is utilized to create temporary views, partition the data, cache and uncache a temporary table.

Crowdfunding ETL

Builded an ETL pipeline using Python, Pandas, Python dictionary methods and regular expressions to extract and transform the data. Created four CSV files and use the CSV file data to create an ERD and a table schema. Finally, uploaded the CSV file data into a Postgres database.

Web-Scraping and Data Analysis

The data is extracted via both automated browsing with Splinter and HTML parsing with Beautiful Soup.

The influence of various factors on the spread of COVID-19

Data Analysis with Python. The aim of this project was to examine the influence of various factors on the spread of COVID-19, and to determine if any regional discrepancies existed.

Climate Analysis with Python API and SQLAlchemy

Climate Analysis and Data Exploration of climate database, using Python, Flask and SQLAlchemy.

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