I am a Data Analyst with a love for data analysis especially with data extraction which would then be used in analysis and visualization. Proficient knowledge in analytics, visualization, consulting, and statistics. Possess an excellent understanding of team work leadership, project management and problem solving skills. Recognized for having flexibility with time management and strong attention to detail. A self starter known for building relationships and collaborating to achieve common goals.
Python, PostgreSQL, Tableau, R, Scala, Apache Cassandra, MongoDB, TensorFlow, SciKit-Learn, Git, JavaScript, HTML5, Excel
• Utilized Python to optimize a data pipeline into an AWS S3 bucket and pulled onto a machine learning model.
• Developed, tested, and implemented models in python using ETL which was then visualized in Tableau.
• Overcame an issue with the ETL process onto AWS with python by resourcing online to create a boto3 client.
• Applied TensorFlow in Python to train a machine learning model to determine which charities to finance.
• Issues with transforming and editing columns into a scaled format for the machine learning model.
• Gathered old code from previous works to create bins to simplify encoded columns for scaled models.
• Employed D3 and GeoJSON to create a visualization on a map to display earthquake data.
• Designed an HTML webpage with Leaflet.js and GeoJSON to paint a map that is formatted with CSS and Mapbox API.
• Integrated outside resources to properly format the map to display GeoJSON markers on the map display.
• Utilized R to create a statistical analysis about new car prototypes.
• Proactively brainstormed with teammates to decide which variables were important to be tested on.
• Ensured a prediction to see whether different models of the car would sell well, using ANOVA and two-sample t-test.
• Executed BeautifulSoup to create a data mining model with Python and stored it in a No-SQL database, MongoDB.
• Developed a Flask webpage with HTML to display the scraped data and scrape new data with a button.
• Collaborated with a fellow group mate to work on issues between the web scraping file and the HTML doc.
• Automated Google Analytics reports using Python and Pandas to pull data from the API to clean and format it in presentable format.
• Developed several Dashboards using Google Data Studio to visualize show metrics, user data, and business profitability.
• Managed API connections and created data pipelines with JavaScript to push data from the source into Google Data Studio for visualization.
• Consulted several clients to increase engagement rate by 4% each month by managing social media accounts and engaging with the community.
• Came up with new marketing tactics such as an Instagram raffle and increasing KPIs for the client’s Instagram page throughout the giveaway promotional event.
• Managed and organized Insertion Orders and Media Plans for several clients via Excel which helped maintain finances.