Overview Marcia Drake is the Deputy of Data Acquisition and Data Management at the State of Washington Health Care Authority and has over 20 years experiences working in a variety of public service roles.  In today’s episode, Marcia Drake shares her inspirational story of how she turned her weaknesses into her strengths, how she takes a purpose driven approach to data projects, and her thoughts on how women can drive change in the metaverserve. About Marcia Drake Marcia Drake has a passion for helping others to turn data into actionable results to make a difference in the world.  With 24 years of data and IT experience in state, federal and private agencies, her data journey has involved saving lives, reducing collisions, studying social behavior patterns, solving crimes, improving systems, increasing data quality, evaluating systems, and local, state, federal and tribal committee work. She is a former chair of the USDOT NCSA NHTSA Fatality Analysis Reporting System (FARS) National Information Technology Advisory Panel, and has served as a grant peer reviewer on numerous grants for the United States Department of Justice. Marcia has worked with traffic safety and transportation data, health data, court data, law enforcement and crime data, GIS, and other social science data. She is a trained anthropologist, crime, traffic and intelligence analyst who served with both the Washington State Patrol and Pinkerton Consulting and Investigations at Microsoft Global Security- Microsoft Headquarters. Later, she spent several years working for the Washington State Courts as the Data Quality Coordinator. Marcia is currently the Deputy of Data Acquisition and Data Management at the Washington State Health Care Authority. Marcia has received numerous awards throughout her career, including from the United States Department of Transportation (USDOT), National Center for Statistical Analysis (NCSA), National Highway Traffic Safety Administration (NHTSA), the Washington Traffic Safety Commission, and the Washington State Patrol. Additionally, Marcia is trained in Feminine Power Transformational Leadership, life and business coaching, and Impact Economics.  She has an interest in sustainability and solving problems at the global level and is a certified blockchain enterprise professional. Learn more about our mission and become a member here: https://www.womenindata.org/ --- Support this podcast: https://podcasters.spotify.com/pod/show/women-in-data/support

Overview We have the pleasure of chatting with Joanna Lovering. Joanna is an executive presence coach, workplace psychologist, and fashion stylist who helps primarily women develop transformative leadership skills. Joanna earned her M.A. in Social-Organizational Psychology from Columbia University before taking on leadership development roles at Tiffany & Co., JetBlue, and Daily Burn, among others. In this episode, Joanna shares why executive presence is essential for women, how to lead with authenticity, and small practical steps you can take that will lead to big changes. Joanna’s energy is contagious and you will come away inspired after this episode. About Joanna Lovering Joanna is an executive presence coach, workplace psychologist, and fashion stylist who helps primarily women develop transformative leadership skills. Using her engaging and approachable method, Joanna teaches women how to show up with character, confidence, and style. Joanna earned her M.A. in Social-Organizational Psychology from Columbia University before taking on leadership development roles at Tiffany & Co., JetBlue, and Daily Burn, among others. After accumulating over ten years of leadership development experience in a mix of corporate and start-up settings, she founded Copper + Rise in 2017. Joanna founded Copper + Rise to teach women what no one teaches them about leadership. Over the years, she’s realized that leveling up in your career isn’t just about what you know. We also have to look, speak, and act like leaders--and that’s where executive presence comes in. Joanna defines executive presence as how you speak, how you act, and how you look. It’s the style and substance of who you are. Joanna’s background in psychology, leadership development, and fashion styling is the trifecta she brings to this work. Joanna’s writing and insights on leadership, presence, and style have been featured in RealSimple, Fast Company, HerMoney, HuffPost, The Muse, Glassdoor, Fairygodboss, TheLadders, and more. Social Handles LinkedIn                 linkedin.com/company/copperandrise Instagram               instagram.com/copperandrise Website                  copperandrise.com Learn more about our mission and become a member here: https://www.womenindata.org/ --- Support this podcast: https://podcasters.spotify.com/pod/show/women-in-data/support

Overview Our guest today is Samantha Van Der Merwe, Data Science Technical Lead at Kantar and machine learning content creator. Samantha has a Bachelor's in Engineering and a Master's in Data Science, and helps teams successfully scale and deploy data science and analytics solutions. In this episode, we chat about the tech stack needed to deploy machine learning models, her journey to becoming a tech lead, and how we can ensure our models have the business impact we are looking for. About Samantha Van Der Merwe As a Data Science Technical Lead, Samantha helps teams to successfully scale and deploy Data Science and analytics solutions. Samantha also builds Machine Learning solutions and provides career support to women who are aspiring Data Scientists through online social platforms. Background: BEng Industrial and Systems Engineering MSc Statistical Science Experience: 5 years in Advisory and Analytics role, 5 years in Data Science Hobbies: Digital content creator samzee_codes Fun facts: Loves travel, anime and sometimes I cosplay as Shuri from Black Panther Social Handles Youtube: https://www.youtube.com/channel/UCc0ofK4jaPXE1h-tzmes0cQ LinkedIn: https://www.linkedin.com/in/samantha-van-der-merwe-49aa03a6/ Tiktok: https://www.tiktok.com/@samzee_codes Instagram: https://www.instagram.com/samzee_codes/ Learn more about our mission and become a member here: https://www.womenindata.org/ --- Support this podcast: https://podcasters.spotify.com/pod/show/women-in-data/support

Overview Today we are chatting with the Founder & CEO of Lately,  Kate Bradley Chernis. Lately uses A.I. to  learn which words will get you the most engagement, and turns video, audio and text into dozens of social posts containing those words. Kate has had an exciting career as a former rock 'n' roll DJ, to Music Director, to on-air host at Sirius/XM, to owning a marketing agency. In this episode, Kate shares the inner workings of how music and neuroscience inspired the design of Lately’s AI model, the highs and lows of entrepreneurship, and how authenticity is the only way to lead. About Kate Bradley Chernis Kate Bradley Chernis is the Founder & CEO of Lately – A.I. that learns which words will get you the most engagement and turns video, audio and text into dozens of social posts containing those words. As a former rock 'n' roll DJ, Kate served 20 million listeners as Music Director and on-air host at Sirius/XM. She’s also an award-winning radio producer, engineer and voice talent with 25 years of national broadcast communications, brand-building, sales and marketing expertise. What she learned in radio about the neuroscience of music helps fuel Lately's artificial intelligence. Prior to founding Lately, Kate also owned a marketing agency which got Walmart a 130% ROI, YoY for three years. In addition, Kate's appeared as a guest speaker on hundreds of sales, marketing and entrepreneurial podcasts and has led presentations for Walmart, National Disability Institute, IRS, United Way Worldwide, SaaStr, SXSW, Content Marketing Institute, HubSpot, Harvard University, Columbia University, NYU and others. Learn more about our mission and become a member here: https://www.womenindata.org/ --- Support this podcast: https://podcasters.spotify.com/pod/show/women-in-data/support

Overview Ashley M. Scott is an award-winning data professional, entrepreneur, and consultant who uses her experience in data analytics and business to encourage and champion diversification of the data practitioner pipeline.  In this episode, we chat about the 5 whys of data, whether you should be a generalist or a specialist, how to network and build relationships in a digital environment, and the importance of communication.  Anyone who has the pleasure of chatting with Ashely will leave feeling inspired by her thoughtfulness and passion for helping others succeed. About Ashley Scott Ashley M. Scott is an award-winning data professional, entrepreneur, and consultant who uses her experience in data analytics and business to encourage and champion diversification of the data practitioner pipeline. Scott previously co-led the project management of an American medical tourism facility in Tanzania, East Africa, and she created the #DataGirl social media campaign, which received international recognition and supports the Data Girl Scholarship. With her online platform, Data Girl Ash, Scott demonstrates tactical approaches to make data-driven decisions while empowering others to pursue their own successful careers. Scott holds an MBA with distinction, a BS in Public Health, magna cum laude, and has earned a Women’s Entrepreneurship certificate from Cornell University.  Social Handles www.instagram.com/datagirlash https://www.facebook.com/datagirlash https://www.twitter.com/datagirlash https://www.linkedin.com/in/ashleym-scott https://www.linkedin.com/company/data-girl-ash https://beacons.ai/datagirlash Learn more about our mission and become a member here: https://www.womenindata.org/ --- Support this podcast: https://podcasters.spotify.com/pod/show/women-in-data/support

Overview Listen to Neha Madhavan share her experience working as a business analyst at Formula 1 motorsports. With a background in IT, she broke the mold to create her own path by moving to Paris to get a degree in project management, and then moved to London and entered a male-dominated industry in motorsport.  Today she continues to lead the way by breaking the labels given to her and is on a mission to encourage others to feel empowered enough to break away from labels and create the life they desire.  About Neha Madhavan "Hello everyone, I am a Business Analyst working in the fast-paced world of Formula 1, the pinnacle of Motorsport. I am involved in the analysis, testing, and deployment of low-code Microsoft Powerplatform solutions to optimize internal business processes. With a strong background in IT, when the only reasonable, industry-approved option for higher studies was in Data Science or Analytics, I followed my heart and pursued a degree in Project Management for which I had to immigrate to Paris from India. Upon graduation, I once again pivoted to Business Analysis and moved to the UK to work in an industry that I am passionate about – as a fan! Never could I have imagined growing up that I could work in F1 without an Automotive background. I did the inner work to let go of self-limiting beliefs, trust in my skills, and build on them in a way that led to my eventual independence in two foreign countries and freedom of choice in careers. My hope is to inspire and encourage others to feel empowered enough to break away from labels that limit them. As for my labels, I am a brown immigrant woman with a non-motorsport background working in a male-dominated industry and that is simply a fact about part of my identity, not the whole of it." Learn more about our mission and become a member here: https://www.womenindata.org/ --- Support this podcast: https://podcasters.spotify.com/pod/show/women-in-data/support

Overview We chat with Deeksha Anand, Data Analytics Manager at ION, New Delhi Women in Data Chapter lead, and founder of OneStopData, a data community with 80K+ data enthusiasts. She is a Data Analytics and PowerBI Instructor, and a mentor who has trained 4,000+ people in more than 20 countries. In this episode, we talk about how to break into a data career, the power of community and networking, and how to get the most out of joining and creating a community.  Deeksha is full of positive energy and keeps the conversation approachable for all levels, I know you’ll enjoy her approachable tips and positive outlook. About Deeksha Anand Deeksha Anand is a Data Analytics Manager at ION (a B2B fintech market leader) and the founder of OneStopData (a data community with 80K+ data enthusiasts). She is a Data Analytics and PowerBI Instructor and a mentor who has trained 4000+ people in over 20 countries. She has delivered talks, led sessions, and hosted webinars on data careers and career growth via her 'Women in Data' community. Social Handles LinkedIn                 https://www.linkedin.com/in/deekshaanand0902 Instagram              @onestopdata Learn more about our mission and become a member here: https://www.womenindata.org/ --- Support this podcast: https://podcasters.spotify.com/pod/show/women-in-data/support

Overview In this episode, Jessica shares her journey into data science, tips for understanding business problems and communicating with stakeholders, and the value of publishing your work and patenting your technology. This conversation will get you excited about the opportunity for invention. About Jessica Iriarte Jessica Iriarte is a data science & analytics leader, petroleum engineer, published author, and inventor of several patent-pending technologies with 10-plus years of experience working in data science, research, and field operations. Jessica is currently a Sr. Manager of Data Science at Vroom, an e-commerce company that enables consumers to buy, sell, and finance cars online. Before Vroom, Jessica launched and grew the data science team at Well Data Labs, serving as a subject matter expert to bridge the technical gap between engineers and data scientists. She received the 2018 Denver Business Journal Top Women in Energy Award and the 2020 SPE Young Member Outstanding Service Award. Social Handles LinkedIn                         https://www.linkedin.com/in/jessicairiarte/ Published Work              https://scholar.google.com/citations?user=pQ9H-eMAAAAJ&hl=en&oi=ao Learn more about our mission and become a member here: https://www.womenindata.org/ --- Support this podcast: https://podcasters.spotify.com/pod/show/women-in-data/support

Overview Today we have three amazing ladies and artists on the podcast who designed and created Women in Data’s first membership NFT. Diane Ortiz-MacLeod is a data scientist and artisan working in global predictive supply chain analytics. Cristina Carlos is the founder MiniNinja Multimedia where she works on commission pieces. And last but not least, Tressa Rivers is a former graphic artist/ fashion designer who is in the process of transitioning her career into the data and tech world. Each of these women are also Women in Data members. About WiD's NFT Collection Women in Data’s first NFT collection, Visionaries, was created by our community, for our community. It celebrates all of the bold and diverse women in data, and our vision for the future. Our women in data are looking to the future with their heads high, courageously leading the way in data and technology and they are unstoppable. They come from different backgrounds and cultures, and each one is uniquely beautiful like each of our members We hope our NFT collection inspires more women to enter and explore web3. Learn more about our NFT collection, mission and become a member here: https://www.womenindata.org --- Support this podcast: https://podcasters.spotify.com/pod/show/women-in-data/support

Overview Chengyin Eng is a Senior Data Science Consultant at Databricks. In this episode, we chat about how her experience researching tree mortality has influenced the way she thinks about ML today, how MLOps is quickly evolving, and the challenges and opportunities in the road ahead. Finally, we dive into NLP and the progress, the challenges, and the areas Chengyin is most excited about. We cover a lot of ground in this episode, but Chengyin keeps it fun and educational.  About Chengyin Eng Chengyin Eng is a Senior Data Science Consultant at Databricks. She is experienced in developing end-to-end scalable machine learning solutions for cross-functional clients. She also teaches machine learning courses, including deep learning and ML in production. She holds an MS in Computer Science from the University of Massachusetts, Amherst. Her bachelor's degrees were in Statistics and Environmental Studies from Mount Holyoke College. Outside of work, she enjoys watching crime mystery films, arranging flowers, playing music, and trying out new food recipes. Social Handles LinkedIn             https://www.linkedin.com/in/cyeng/ Website              https://www.chengyineng.com Learn more about our mission and become a member here: https://www.womenindata.org/ --- Support this podcast: https://podcasters.spotify.com/pod/show/women-in-data/support