I hope to become an empowering woman in the field of Analytics and to encourage other women to pursue careers in Math and Analytics. I strive to have a voice in the industry, combat stereotypes, and share my passion for Math and data with others!

     After studying Math, Business, and Spanish at Berry College, I didn't know how to apply my passion for Math in the real world, so this led me to pursue my MS in Business Analytics at UGA. Now, I have found my love for the data world where I get to use my passion for logic, critical thinking, and coding everyday! Not only does my unique Math background bring a lot to my career, but learning Spanish and teaching English as a Second Language has equipped me with the skills to communicate in difficult situations. Because of this, I thoroughly enjoy telling stories with data and equipping the end user with the necessary knowledge to make business decisions. 

     My side passion is speaking Spanish and embracing the Latino community through teaching English as a Second Language and traveling. I currently volunteer as a part time English teacher to teach local Latinos of Athens, GA. I also volunteer as a data analyst and as youth lacrosse coach through various organizations. I love to volunteer and give back to the community!

 Skills: SQL, Power BI, Python, DAX, Power BI Robots (RPA software), R, Tableau, HubSpot, GitHub, SPSS, Rapidminer, Rattle, Data Cleaning & Transformation, Data Wrangling, Data Dictionary development, Dashboard Creation, Process Documentation.

DataCamp

Python Data Science Toolbox (Part 1)

Python Data Science Toolbox (Part 2)

Python Fundamentals Track

Intermediate Python

Introduction to Python

Berry College

University of Georgia - Terry College of Business

Crunchbase

-Conducting analytics and designing product experiments for the Trial Experience team to improve key trial metrics and convert users. Interpreted results and provided recommendations for stakeholders and leadership. (A/B & Pre/Post Tests, Power Analysis)
-Optimized 30+ slow queries and dashboards and improved stakeholders' experience by identifying which queries would benefit from being moved to an upgraded data warehouse 
- Researched and summarized dashboard best practices that were implemented across the team

Senior Data Analyst

LinkedIn

Planning a curriculum and teaching courses on Analytics through LinkedIn Learning’s platform. 

First courses coming early 2023!

LinkedIn Learning Instructor

Technology Association of Georgia

Volunteer through TAG Data Science and Analytics for Good Initiative and serve on the board. 

As a team, we cleaned, transformed, and engineered a very messy dataset from a non-profit organization. Then we developed a k-means cluster algorithm to identify significant clusters from their donor base. 

I was solely responsible for developing personas for each cluster based on their historical behavior, demographics, and characteristics and then telling a story with each persona in a way where the non-profit could understand their donors and take action to increase donations.

Data Scientist

Freddie Mac

Single Family, Credit Innovation and Analytics
Tech Stack: SQL, SAS, Python, Tableau

-Conduct research and analytics to support borrower assessment rules for Freddie's Loan Product Advisor Asset Income Modeler (AIM) product which automates the manual process of assessing a borrower's asset and income.

Senior Risk Analyst

FormFree®

Tech Stack: SQL, Power BI, Excel, Python, HubSpot

•	Oversee all BI operations by delegating tasks to team, communicating expectations, and providing feedback.
•	Identified and reconciled $100Ks in billing errors; optimized and redesigned client onboarding process to ensure accurate database logging and billing. 
•	Engineered billing tables and views in the database to improve data collection for the billing system.

Data Analytics Manager

• Provide weekly insights and updates on both a Sales and company-wide call in order to ignite strategic action.
• Provided essential data and compelling visuals on short notice over a 3-month period working with potential investors.
• Run and modify monthly billing queries as needed for all clients and partners for the Finance department. 
• Design metrics, reports, and dashboards (in SQL and Power BI) relating to volumes, revenue, and software system performance for teammates, partners, and clients.

•	Implemented robot process automation (RPA) software to send monthly client reports which reduced the monthly task time from days to just minutes.
•	Designed a monthly client report in Power BI featuring useful metrics and visualizations to track performance and integrated the report into the RPA software.
•	Construct queries in SQL and Power BI to filter, transform, and visualize desired data to be delivered internally and externally.
•	Report on important metrics, craft dashboards, and query reports that provide meaningful insights into clients, prospects, and the company as a whole.
•	Update and import data into Power BI from various sources (database, excel, Box, HubSpot), manage the data model (ERD) to ensure proper data relationships using primary/foreign keys, and transform the data for analysis.

Data Analyst

•	Constructed queries in SQL to manipulate, filter, and extract desired data and delivered to team members. 
•	Created queries, measures, and visualizations in PowerBI in order to clean, transform, and visualize data.
•	Reported on important metrics and crafted dashboards for several departments, many which were used in the company end-of-year meeting.
•	Queryed reports for clients and integrations and set alerts for their corresponding FormFree representative.
•	Assisted the Business Intelligence Manager in office with various analytic projects while also managing several individual projects remotely with minimal supervision.

Data Analyst Intern 

Caterpillar Inc.

Completed a capstone project for my Master's program. Worked on a team with Caterpillar executives on a scalable analytics solution for their supply chain.

Analytics Consultant

The University of Georgia

•	Cleaning and transforming messy and unorganized data sets, collecting data, and improving data collection and entry for leaders at Archway Partnership and in Moultrie City.

Graduate Assistant

I worked on a data project to predict and improve enrollment at Berry College. I turned a ginormous, messy dataset of 113,000 observations into a usable asset for the Enrollment Management Office, and I learned the importance of data cleaning and transformation. I developed a passion for data, and this job led me to pursue a job in analytics.

I led an ESL classroom through Berry's ESL program. I was responsible for creating lesson plans, assisting students, and making a connection with the local Hispanic community. I helped them strive to do their best and improve their English skills one day at a time.

English Second Language Teacher, Lead Educator

I tutored students in Berry's academic success center. I was responsible for assisting them with their questions and homework and maintaining a professional environment in the tutoring center.

Calculus and Spanish Tutor, Presentation Coordinator, Event Planning

I graded math homework for a professor a few times a week and returned it the next day.

Math Homework Grader

Fundación Progreso Guanacaste

I served as an intern teaching English in a local school in Santa Cruz, Costa Rica for 2 months. I created my own lesson plans, led classrooms, and became an American friend to the children I taught. I was also in charge of planning a school-wide English spelling bee and several other events. During my trip, my Spanish skills skyrocketed, and I became a very independent and responsible young adult. This trip taught me to be confident with my skills and also to respect other cultures that are different than my own.

Assistant English Teacher, Educator, Event Planner

Sr. Data Analyst @ Crunchbase | LinkedIn [in]structor | Data & SQL Tips

I've teamed up with some big names in data to provide an ebook dedicated to helping your with your resume! Do you want to see resumes and advice that landed jobs at Crunchbase and Activision?!

Practical Advice for Perfecting the Data Resume

My LinkedIn Learning Course: Preparing to Get a Job in Data Analytics

With a group of volunteers, completed a k-means clustering analysis and created donor personas for a children's healthcare charity to gain better insight into donations.

Technology Student Association

I judged projects for the high school data science and analytics competition by scoring the projects based on the presentation, data visuals, and overall analysis.

Oconee Youth Lacrosse

Casa de Amistad

I teach English classes to local non-native speakers twice a week, and I help them gain confidence to communicate in their everyday lives.

Berry College English as a Second Language 

MLK Service Day

I volunteered with a club to assist with farming at a homeless shelter.

Chief Data Scientist - a distinguished expert in Artificial Intelligence and Data Science, showcasing a remarkable aptitude for devising AI strategies, orchestrating and overseeing state-of-the-art scientific investigations, championing AI adoption, sculpting the vanguard of analytical horizons, and proficiently conveying a lucid vision, strategy, and research trajectory to all echelons of the company (spanning the comprehensive board of executives), whilst exerting a persuasive impact across the executive and leadership ensemble.

Nova Southeastern University

The Open University of Israel

University of Haifa

English

Hebrew

Russian

Chief Data Scientist | 75k+ followers | Mentor | Author of The AI Vanguard Newsletter

Data Science Group Lead - X-Sight Analytics Research and Delivery, R&D at NICE Actimize

Real-Time Drift Detector on Partial-Labeled Data in Data Streams

Online Incremental Machine Learning Clustering in Anti-Money Laundering Detection

Generating a Reduced Superior Training Labeled Dataset For Classification under Extreme Class Imbalance

NICE Actimize

As a visionary leader, I construct and oversee ethical, research-driven AI applications within the Actimize FinCrime portfolio and its auxiliary services. By harnessing collective intelligence and data consortiums, I deliver transparent, adaptive, and quantifiable analytical solutions that reduce fraud losses and expedite insights for clients and the market.

In a dynamic setting, I persistently refine the data science roadmap to achieve both short and long-term objectives. I spearhead the adoption of emerging AI and data science methodologies while establishing best practices to guarantee timely, robust, and reliable results.

I excel at assembling, mentoring, and managing top-tier talent, nurturing innovative minds capable of pioneering advancements in data science and AI. My collaborative approach extends to working with Product, Delivery & Development, Management, Marketing, and Sales teams, while actively reshaping the Data Science Stack components and SaaS platform.

In my central role, I engage in due diligence, IP development, client interactions, and strategic planning for scientific research across the organization's portfolio. As a prolific publisher of scientific papers, I hold 12 pending patents and contribute to esteemed journals and portals.

Chief Data Scientist

Johnson Controls

Manager a large group of highly skilled data scientists, and researchers. Instill analytics in delivery processes. Contribute to the growth of a data-driven culture and drive business value, as well as to the intellectual property of the company. Work with inner and outer stakeholders to promote research in the field of AI and Data Science. Incrementally refine, develop and shape the scientific research roadmap for the company portfolio. Build and develop centralized and de-centralized data science teams.

Head of Data Science

GE Healthcare

Research, manage and develop data-driven algorithms for detection of moving3D objects in a human body during the CT scan based on supervised and semi-supervised machine learning paradigms by solving complex problems with dimensionality reduction techniques and optimization under given limitations.

Director of Research

Augmented Reality Lab

Directing and managing the research and development of augmented reality-based Computer Vision and Image Processing. The research focuses on data-driven machine learning models to be able to detect moving objects in 3D with highly optimized algorithms for detection and matching.

Research Manager

Academic research in the field of inferential statistics, information theory, computational geometry, data structures, and algorithms.

Scientific Researcher

Worldwide top influencer since 2013. Data Scientist. Global Speaker. Consultant. Astrophysicist. Space Scientist.
Big Data & Data Science advisor, TedX speaker, researcher, blogger, Data Literacy advocate.
Social Reporter for your Data Event...
Speaker Requests for me to speak at your event/organization?...
...Please go here: https://www.chartwellspeakers.com/speaker/kirk-borne/
...or go here: https://www.bigspeak.com/speakers/kirk-borne/
2018-21: #1 Digital (Data Science, Big Data, AI) worldwide top influencer:
... http://ipfconline.fr/blog/2020/11/14/50-top-digital-influencers-to-follow-at-the-end-of-2020-and-in-2021/
2013-present: #1 or #2 or Top 10 influencer in many different categories and lists, including Big Data, Data Science, AI, Machine Learning, IoT, Data Mining, Digital Marketing, Tech Consulting, Data Security, Data Topics Blogging, and more.
2020: Elected Fellow of the American Astronomical Society for lifetime contributions to astronomy and the public's understanding of the Universe.

Data Scientist -- Transdisciplinary data science research, applications, and consulting across a variety of fields -- transcending traditional discipline boundaries.

Specialties: Public / Inspirational / Technical Keynote Speaking. Consulting / Adivising in many disciplines, including Data Science, Machine Learning, Data Mining, Data Analytics, Big Data, X-Informatics (Discovery Informatics, Science Informatics, and more), Scientific databases, Scientific data mining, Computational-X (Computational Science, and more), Astroinformatics** (Data Science for Astronomy), Observational Astronomy (ground-based and space-based), Computational Astrophysics, Higher Education, Science Education and Public Outreach, Project Management, Proposal-writing.

**co-creator of the field of Astroinformatics: see http://www.springerlink.com/content/007642412771162j/ and http://arxiv.org/abs/0909.3892

AAS Fellows are recognized for their contributions toward the AAS mission of enhancing and sharing humanity's scientific understanding of the universe.
https://aas.org/grants-and-prizes/aas-fellows

Fellow of the American Astronomical Society (AAS)

I was named the first Data Science Fellow for Booz Allen Hamilton

Data Science Fellow

http://ipfconline.fr/blog/2018/11/27/50-top-digital-influencers-to-follow-in-2019/
(Digital includes AI, Data Science, Big Data, Digital Transformation)

#1 Worldwide Digital Influencer for 2018-2019

http://www.onalytica.com/blog/posts/martech-top-100-influencers-brands/

#4 Martech (Marketing Technology) worldwide influencer

#16 Data Security worldwide influencer

http://www.onalytica.com/blog/posts/digital-transformation-top-100-influencers-and-brands/

#26 Digital Transformation worldwide influencer

http://www.onalytica.com/blog/posts/blockchain-top-100-influencers-brands/

#42 Blockchain worldwide influencer

http://www.onalytica.com/blog/posts/digital-marketing-2016-top-100-influencers-and-brands/

#72 Digital Marketing worldwide influencer

Elected Fellow of the IAA: http://www.brera.mi.astro.it/~andreon/IAA/IAA-2016AWARDS-14April2016-FINAL.pdf  
"For his service to the International Astrostatistics Association as its initial Vice President for Astroinformatics and member of its initial Council; for his tireless work in advancing astroinformatics throughout the world, and for his near two decades of work as a research scientist dealing with big data concerns."

Fellow of the International Astrostatistics Association

#2 Machine Learning and Artificial Intelligence worldwide influencer

#1 Top Big Data worldwide influencer

#13 IOT Internet of Things worldwide influencer

http://www.kdnuggets.com/2016/01/menlotechnologies-12-data-analytics-thought-leaders-twitter.html

#1 Data Analytics Thought Leader on Twitter

#6 among The 123 Most Influential People in Data Science
http://www.kdnuggets.com/2015/09/123-influential-people-data-science.html

Top 10 Data Scientist

IBM Big Data & Analytics Hero

Awarded by the Dean of the College of Science

Dean's Impact Award for Faculty Excellence in 2013

Chair of Phi Kappa Phi (PKP) Scholarship Committee & Charter Faculty of GMU chapter of PKP

Scholarship Committee Chair

Adjunct Associate Professor - Data Mining

Astrophysics Department Manager

Carnegie Fellowship

Caltech

Louisiana State University

Bellevue High School, Bellevue Nebraska

https://www.dataleadershipgroup.ai/

My services include: 
(1) Speaking at conferences, webinars, events.
(2) Teaching and Training Courses.
(3) Strategy Consulting.
(4) Social Promotions & Engagement for Brands.
(5) Career advising & mentoring.
(6) Content creation (blogs, book chapters, white papers).
(7) Expert Witness.

My areas of expertise include those listed here:
#AI #DataScience #BigData #MachineLearning #DigitalTransformation #IoT #IIoT #AIstrategy #AnalyticsStrategy #DataStrategy #DataLiteracy #DataStorytelling #Analytics
+more

Founder, Data Leadership Group (Data Scientist. Top Influencer. Speaker. Trainer. Consultant)

DataPrime, Inc.

As a member of the DataPrime Advisory Board, I advise on activities and projects related to:
—Building the Data Science Profession for data pros.
—Expanding Data Literacy and Data Fluency across enterprises.
—Accelerating value creation and innovation from data in data-drenched organizations.

Advisory Board Member

Booz Allen Hamilton

I get great pleasure in finding solutions through data. The scientist in me loves to explore data (evidence), find new discoveries, develop a hypothesis to explain it, and then test those theories. As the Principal Data Scientist at Booz Allen Hamilton, I am privileged to exercise that Data Scientist role across numerous internal and external projects: human resources, organizational change, training and mentoring, marketing, customer engagement, behavior analytics, risk mitigation, novelty discovery (including fraud detection, anomaly detection, surprise discovery), thought leadership, socialization of data science across organizations and industries, data technologies (including machine learning, data management innovations, graph analytics), predictive and prescriptive analytics, geospatial-temporal modeling, and much more. I engage with clients within the federal sector, within numerous commercial industries, and with nonprofit organizations. And I enjoy mentoring, working with, and learning from some of the best and brightest young data scientists in the business.

Read more here: "A Growth Hacker's Journey - my mini-history of Data Science"
https://www.mapr.com/blog/growth-hackers-journey-right-place-right-time

Principal Data Scientist and Executive Advisor, First Data Science Fellow at Booz Allen

SYNTASA™

Kirk Borne is the first member of SYNTASA’s Advisory Board. Dr. Borne’s extensive experience in big data and data science, including expertise in scientific data mining and data systems, will help guide SYNTASA in providing focused Marketing Analytic solutions. SYNTASA will leverage the Advisory Board to grow expertise in marketing analytics, data science, predictive modeling, and management of big data sets. The Board will help steer the company on its path in creating big data analytic solutions using open source technology.
http://syntasa.com/president-and-ceo-jay-marwaha-appoints-kirk-d-borne-ph-d-as-first-syntasa-advisory-board-member/

Astroinformatics and Astrostatistics International Organizations

Contributing to the international and national efforts to promote astrostatistics and astroinformatics as robust research disciplines: organizing international research conferences on astrostatistics and astroinformatics, and contributed to the creation of three new international and national organizations:

(1) Vice President, International Astrostatistics and Astroinformatics (IAA) professional society.

(2) Senior Steering Committee member, AAS (American Astronomical Society) Working Group on Astroinformatics and Astrostatistics.

(3) Organizing Committee member, IAU (International Astronomical Union) Working Group in Astrostatistics and Astroinformatics.

In addition... (for 2014-2015):

(4) Secretary, SIAM SIAG/DMA (SIAM Activity Group on Data Mining & Analytics).

Executive Committee Member

ARIES Scientific

ARIES Scientific Inc. is a non-profit 501(c)(3) corporation, dedicated to the advancement of Science Research and STEM Education.

Kirk Borne has advised and consulted with numerous organizations in data science areas, including machine learning, artificial intelligence (AI), data strategy, data mining, and large-scale data management.

Vice President / Astronomer / Data Scientist

George Mason University

Conduct Research, Teach Courses, Advise Students (undergraduate, graduate) in these areas:  Astroinformatics, Data Science, Computational Astrophysics, Astronomy, Computational Science, Data Mining, Informatics, Scientific Databases.

Co-creator of Data Science BS degree program.

For over 30 years, Kirk Borne has studied the dynamics and evolution of galaxies within the context of colliding and merging galaxies, groups and clusters of galaxies, starbursting galaxies, active galaxies, and the mass assembly history of large and small scale structure in the Universe.  

Since 2000, he has developed & applied data mining & data science techniques on large astronomy data collections & sky survey databases, earth science remote sensing data collections, and more.  He is investigating new and existing algorithms for the discovery of patterns, correlations, associations, and outliers (surprises) within highly dimensional astrophysical parameter spaces.  These techniques are being used in several research areas, including: galaxy scaling relations, parameterization of the dynamics and evolution of galaxies and groups of galaxies, characterization and classification of time-varying astronomical events and targets of opportunity, and novelty detection within massive datasets. As part of this research, he is working with citizen science results from the Galaxy Zoo and Galaxy Merger Zoo projects.  

He is investigating research connections with other data-intensive disciplines, to explore opportunities for advancing research in a broad context, through the investigation and application of data science methods (informatics and statistics) in a manner that transcends discipline boundaries.

He is one of the originators of the field of Astroinformatics, which is data science for astronomy research and education.  

He is working with education researchers to develop new pedagogies for science learning that engage students through active experiences using Big Data in the classroom.

Professor of Astrophysics and Computational Science

Soft10 Inc.

Advisory Board member of Soft10 Inc., which brings fast Automatic Predictive Modeling Technology to any business that needs to build, validate, and refine multiple models from their data : http://soft10ware.com/about-us/our-team/

LSST Astroinformatics and Astrostatistics Research Collaboration Team

The Large Synoptic Survey Telescope (LSST) is planned to generate a 20-petabyte science database and a 100-petabyte astronomical image archive -- the analysis of such an enormous data collection requires novel research methods and algorithms.  Our collaboration team consists of astronomers, computer scientists, data mining experts, and statisticians --- we are working on solutions to the LSST petascale data challenges.

I was co-creator of the field of Astroinformatics, which is Data Science for Big Data Astronomy:
1) http://link.springer.com/article/10.1007%2Fs12145-010-0055-2
2) http://arxiv.org/abs/1301.3069
3) http://arxiv.org/abs/0909.3892

I also contributed to the revolution in scientific data mining and data science education, not only in Astronomy:
4) http://link.springer.com/referenceworkentry/10.1007%2F978-94-007-5618-2_9
5) http://arxiv.org/abs/0911.0505

Chairman

LSST Large Synoptic Survey Telescope

Advising the LSST project team regarding the education and public outreach programs, activities, goals, data products, data system design, interfaces, and learning objectives that will support the mission of the LSST and that will be based on the massive petascale scientific database and astronomical imaging data collection that LSST will produce.

	name		keywords	# followers	# posts	# engagements	eng. ratio	score
1.	Jess Ramos, MSBA	🇺🇸	data linkedin women	88,100	12	10,385	6.37%	16.87
2.	Danny Butvinik	🇮🇱	datascience chatgpt pisces	79,892	10	8,434	6.14%	12.22
3.	Kirk Borne, Ph.D.	🇺🇸	ai marketing twitter	77,903	10	57	1.9%	9.81

Taplio

The 100 Best Linkedin Influencers about datascience

Looking for accounts sharing the most valuable insight on LinkedIn? You're in the right place.

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Taplio

The 100 Best Linkedin Influencers about datascience

Looking for accounts sharing the most valuable insight on LinkedIn? You're in the right place.

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