Christina Bernard Email & Phone Number

I write stuff about data science and build AI applications.Other things I've done over the years:Data Science• Trained business owners in the digital landscape to improve their understanding of technical infrastructure. • Developed a NLP model for healthcare use-cases using NLTK and custom datasets. • Collaborated with clients to create data driven strategies using predictive methods. • Defined marketing metrics based on desired business outcome and set up marketing dashboards to track KPIs. • Aided in marketing strategy by providing insights based on consumer behavior, social listening, and internet trends. • Developed individualized KPIs based on the desired business outcome, marketing strategy, and target customer base, providing deep customer insights to client businesses. • Conducted in-depth market intelligence research to help define business, product, marketing strategies. • Optimized marketing campaign ROI through A/B testing and multi-channel tracking.• Saved $70K in total development costs and $5K per month in labor cost (a 50% decrease) while maintaining developer quality, capability, and project timeliness through effective process improvements and employee training.• Reduced client market spending by $8K while increasing customer engagement by 32% through implementing a customer journey, rebuilding the company website with appropriate paid ads, and developing a more efficient algorithm to achieve a positive return on investment.Management• Managed SDLC for non-technical founders through consistent customer communication, rapid feedback implementation, and solution individualization. • Managed a team (5-8) of freelancers across software development, UI/UX design, tech implementation, and cloud architecture. www.geekyinsights.com

Worldwide, Oo

Data Science: • Redesigned Machine Learning Pipeline from end to end to decrease runtime by 50%.• Migrated team from Dataiku to AWS Serverless technologies.• Implementing model changes in stages to not disrupt client delivery. • Measured the effectiveness of marketing on customer opt-in using uplift modeling (Casual Modeling). • Collaborated with client to create a new offer strategy through looking at offer effectiveness. • Created better customer segmentation based on effectiveness and behaviors. • Determined the root cause of mobile data network issues. • Developed new metrics for determining changes in network strength. • Designed dashboards for monitoring systems and products. Technical Writing:• Created onboarding documentation for client project included template creation. Content was used to develop a data quality internal product that cut down the number of support tickets sent to data science team. Increased time to contribution for new team members.Management: • Directed daily standups, set sprints, resolved conflicts, and resolved team conflict. • Created Presentations to keep client in the loop.

Minneapolis, Mn, Us

As a consultant at phData, I execute data science-related projects. I work effectively with clients to determine their specific, individualized needs and develop and execute machine learning and other data science solution plans. • I implemented significant changes to a machine learning model and added algorithm functionality to improve the match rate.• I successfully write 10 blog posts per month to the company website related to case studies, marketing, and data science.• I successfully set up machine learning engineering( MLE) Pipeline on AWS using Docker , AWS Sagemaker, Lambda, Event Bridge, and VPCs.

Minneapolis, Minnesota, Us

Tessellation was acquired by phData October 2021

Greenwich, Ct, Us

Training: Taught for 4 classes of about 30 students each. Attended all scheduled meetings and conferences. Sponsored after-school programs (Robotics and Animation) to contribute to the creation of a well- rounded student.Communications: Built relationships with students and parentsAnalysis: Tracked student progress and maintained student records. Met deadlines for project trackingWriting: Created study guides and write math problems with steps to solve them at a middle school levelbased on Common Core standards. Created Computer Science/ Math Assessments at appropriate DOK levels.

Text Mining: Created an SQLite3 databases of research articles to use it to query for information about bacterial host for Salmonella.Data Scraping: Used the NCBI API to download genomic information and search it for specific motifs used for universal stress proteins domain.(Python)Visualization: Used Tableau and Excel to generate relevant graphs for presentations.Communication: Presented at various scientific conferences and meetings. Worked on interdisciplinary teams to produce researchMentoring: Developed, instructed, and participated in various workshops and training programs for high school, undergraduate, and graduate students

Worked in a fetal programming lab researching the health impacts on premature babies.Responsibilities:- Checked the diabetic readings of lab rats- Kept logs for all observations taken- Performed lab jobs as needed

Bachelor Of Arts (Ba), Multi/Interdisciplinary Studies

Bachelor Of Science (Bs), Computer Engineering

Deep Learning Part 1