About me
Hello. Erika is a hard-working data-driven designer with proficiency in front-end and back-end web development. She completed Data Science & Visualization Certification at Rutgers University Bootcamp, building upon the hours of collaboration with mentors and peers working with big data sets. Erika grew skills in Python, Pandas, PostgreSQL, Tableau, MongoDB, and R. Also, Erika is a well-driven problem solver. She likes to think outside of the box working independently and collaborates with a team of working big data sets.
My Curriculum Vitae
Erika is a passionate and well-driven data-driven designer with experience in analyzing, organizing, and collecting data sets from raw to well-polished deliverable data and visualization.
Rutgers University | Somerset, NJ
Immersive 24-week classes of Data Science Bootcamp at Rutgers University provide a fast-paced and hardcore teaching environment about the technical data science skills needed to analyze a collection of complex and real-world business problems. And produce practical solutions.
Mason Gross School of the Arts | Rutgers University, New Brunswick, NJ
Arc International | Millville, NJ
Worked with clients to gather and define requirements, establish scopes and managing project milestones. Completed in-depth product design tests with help of different software, models and design systems. Developed creative design for decors, print materials, brochures, banners and signs. Created designs and collaborated with marketing and engineering teams to complete projects. Created and updated trend boards, investigated changing conditions and recommended strategic adoptions to capitalize on projected changes.
The Creative Group | Remote
Worked with clients like Ernst Young to gather and define requirements. Created visual designs, websites, and UI for various clients across the United States.
Mason Gross Visual Dept | New Brunswick, NJ
Assisted Mason Gross students troubleshooting with Adobe Creative Suite and Printing issues.
My Area of Specialty
Help individuals and organizations make sense of data. Analyze and organize raw dataset for insights and trends.
Organize and collect the dataset using SQL or NoSQL databases, such as PostgreSQL (SQL) and MongoDB (NoSQL). Extract, Load, and Transform the dataset to clean up the dataset.
Collect, analyze, and extract the dataset that is too large or complex to be dealt with by traditional data-processing application software.
Make use of computer algorithms to improve automatically through experience and by the use of data. It is a part of artificial intelligence.
Collect data from websites, and develop web application frameworks to share website data.
My Projects
