Rohan Naidu’s Post

Come and celebrate the International Day of Women in Statistics and Data Science tomorrow! Details on our session below ☀️

We’re hosting a workshop at this year’s Women in Data Science (WiDS) Worldwide datathon that’s all about using AI and Machine Learning to tackle real challenges in healthcare. It’s going to be a deep dive into a unique oncology dataset to uncover and address inequities in patient care. Sounds impactful, right? Here’s what we’ve lined up: A Talk on AI in Healthcare-:Discover how AI is revolutionizing the way we approach patient care and treatment. A Hands-On ML Training: Roll up your sleeves in our interactive session where you'll learn to apply machine learning in healthcare scenarios.

🔍 I'm excited to share insights from the latest report by the Urban Institute   Framing matters in data—our narratives, words, and visuals shape perceptions and impact communities. The latest Do No Harm Guide delves into the importance of equity in data practices, challenging assumptions and promoting inclusivity.   📊 Data practitioners often frame their work as definitive, but every decision in the data process shapes outcomes. From collection to presentation, it's crucial to interrogate framing choices for equity.   🌟 Our guide covers diverse perspectives, from defining rural areas to supporting marginalized groups in data collection. We explore inclusive language, trauma-informed methods, and positive framing to ensure data representation for all.   💡 Crafting equitable data narratives requires intention and empathy. With actionable lessons and real-world examples, we empower practitioners to prioritize equity at every stage.   👩💻 Join us in reshaping the narrative of data! Let's continue the conversation on promoting equity in data practices. Read the full report for insights on inclusive data collection, analysis, and presentation. #DataEquity #InclusiveData #DoNoHarm   Check out the report here: https://lnkd.in/eG2d8J5K

Happy International Women's Day! 𝗜𝗻𝘃𝗲𝘀𝘁𝗶𝗻𝗴 𝗶𝗻 𝘄𝗼𝗺𝗲𝗻 𝗺𝗲𝗮𝗻𝘀 𝗿𝗲𝗰𝗼𝗴𝗻𝗶𝘇𝗶𝗻𝗴 𝗵𝗲𝗮𝗹𝘁𝗵𝗰𝗮𝗿𝗲 𝗶𝗻𝗲𝗾𝘂𝗮𝗹𝗶𝘁𝗶𝗲𝘀! Within AKU's Office of the Chief Data Innovation Officer, data from our health repository unveils crucial insights: 𝘸𝘰𝘮𝘦𝘯 𝘢𝘳𝘦 𝘥𝘪𝘴𝘱𝘳𝘰𝘱𝘰𝘳𝘵𝘪𝘰𝘯𝘢𝘵𝘦𝘭𝘺 𝘳𝘦𝘱𝘰𝘳𝘵𝘪𝘯𝘨 𝘢𝘥𝘷𝘦𝘳𝘴𝘦 𝘳𝘦𝘢𝘤𝘵𝘪𝘰𝘯𝘴 𝘵𝘰 𝘮𝘦𝘥𝘪𝘤𝘢𝘵𝘪𝘰𝘯, 𝘭𝘦𝘢𝘥𝘪𝘯𝘨 𝘵𝘰 𝘩𝘪𝘨𝘩𝘦𝘳 𝘩𝘰𝘴𝘱𝘪𝘵𝘢𝘭𝘪𝘻𝘢𝘵𝘪𝘰𝘯 𝘳𝘢𝘵𝘦𝘴. It's time to address these disparities and ensure gender-inclusive healthcare solutions. 𝗛𝗼𝘄 𝗰𝗮𝗻 𝘄𝗲 𝗱𝗼 𝘁𝗵𝗮𝘁? Let's prioritize fair data collection, champion explainable AI, and advocate for inclusive policies. Together, we can shape a future where 𝘵𝘦𝘤𝘩𝘯𝘰𝘭𝘰𝘨𝘺 𝘦𝘮𝘱𝘰𝘸𝘦𝘳𝘴 𝘳𝘢𝘵𝘩𝘦𝘳 𝘵𝘩𝘢𝘯 𝘥𝘪𝘴𝘤𝘳𝘪𝘮𝘪𝘯𝘢𝘵𝘦𝘴. Learn more about this: https://lnkd.in/ehT5RRG5 #InvestInWomen #GenderEquality #IWD2024

Happy International Women’s Day! ❤️ From: ❤️Business Diva, 🔢The Most Interesting Mathematician, ❤️Ms. Data Vote‼️ Which name do you like best to describe me ? #woman #internationalwomensday #msdata #mathematician #businessdiva

🚀 Learn about some of DARE UK's initiatives and how they have enabled key innovations in the UK data research space, highlighted during our #HDRUKConference. Read more: https://hubs.li/Q02rZ9rH0 #DAREUK #DataScience #HealthData

As part of celebrating #Global #Intelligence #Month (#GIM), we are honoring historical individuals in the field of #Intelligence - this week is is #FlorenceNightingale - a #pioneer in using #data and #intelligence #analytics towards driving improvements in #healthcare. Learn more about her here: https://lnkd.in/gThS5Xe5

Did you know Florence Nightingale was also a data scientist, in addition to being the founder of modern nursing? Not only did she transform the way that medical data was reviewed, but she created what is known as the Nightingale Rose Diagram, transforming data visualization as we know it. Check out this interesting article on Florence Nightingale and her contribution to data science. https://lnkd.in/eds-FYbg #womenshistorymonth #data #womenindata

The Barriers to the Stories Data Can Tell #EmpowermentThroughData #UnlockingInsights #DataDrivenNarratives#DataStories #DataAnalysis #Insights#DataVisualization #Stanford #WomeninDataScience Participating in the Women in Data Science seminar at Stanford was truly enriching. The event offered a deep dive into various fields, ranging from environmental studies and infectious diseases to genetics and the gut biome, extending to mental health. It underscored how health data has emerged as a valuable gold mine, and we are the ones holding the keys to solving some of our time's most critical health challenges. Today we have a great amount of data spanning customer demographics, genetic makeup, gut biome composition, racial and ethnic backgrounds, and lifestyle choices including product usage, meal plans, and activity levels—offers invaluable insights that can lead to tailored solutions for health issues. However, despite the vast potential, data scientists and engineers have merely scratched the surface. There is a wealth of untapped knowledge lies beneath this vast amount of data. One of the primary barriers to unlocking this potential is the comprehension of the data itself. Each domain within the health sciences possesses its unique language, deeply ingrained within subject matter experts. This specialized knowledge is essential for data scientists and analysts to tap into, enabling them to create meaningful products that resonate with customers and stakeholders. A central theme surfaced during this seminar is the critical role of comprehension in deriving meaning from data. It's evident that data truly becomes impactful only when analysts not only comprehend it but also understand its nuances. Furthermore, when this understanding is translated into compelling visual narratives, the data can offer unique solutions to customers' needs. The seminar highlighted a palpable plea for assistance from technologists and data scientists to pioneer advanced, innovative techniques and methodologies. These innovations must be finely attuned to the complexities of each domain, fostering the development of tailored solutions that precisely address the specific needs within those domains. Fortunately, there are various strategies to bridge this gap and derive meaningful insights from health data. Please stay tuned or reach out to me to discover more about these approaches and how they can revolutionize the way we understand and address health challenges. https://lnkd.in/grXesB4F