• Directing the data gathering, data mining, and data processing processes in huge volume; creating appropriate data models.• Exploring, promoting, and implementing semantic data capabilities through Natural Language Processing, text analysis and machine learning techniques.• Leading to define requirements and scope of data analyses; presenting and reporting possible business insights to management using data visualization technologies.• Conducting research on data model optimization and algorithms to improve effectiveness and accuracy on data analyses.

•Drove the vehicles of service customers daily, ensuring smooth and efficient traffic flow through the facility, increasing customer convenience by 65%, and maintaining an orderly service parking area at all times. •Welcomed an average of 40 customers as they entered the service area, addressing them with a friendly and upbeat professional attitude, while answering their questions, and resolving their complaints, exhibiting solid communication skills.•Confirmed whether each customer had an appointment and directed them to the appropriate person or location promptly.

• Wrangled data and performed exploratory data analysis using Python’s pandas library and R’s tidyverse packages• Created data visualizations using matplotlib, seaborn, and ggplot2• Performed geospatial analysis using geopandas and folium• Gathered data through API’s and web scraping• Built and deployed interactive data visualizations using the R Shiny library• Project management/tracking with GitHub project boards and issue tracking