Phoenix Ke Analytics

✨ 2024 in Review: A Year of Growth, Lessons, and Impact ✨ As the year wraps up, I’m reflecting on a journey filled with challenges, triumphs, and invaluable lessons. Growth, I’ve learned, is not just about hitting goals but embracing the journey, learning from setbacks, and celebrating the wins. Highlights from 2024: 🌟 Mentorship: Both mentoring with Phoenix Ke Analytics and being mentored taught me the power of shared learning and giving back. 🌍 Community Events: Attending events like DevFest Nairobi 2024 hosted by GDG Nairobi reminded me of the magic of collaboration and the strength in community. 🎤 Speaking Opportunities: Sharing knowledge at Sigma Academy Global Academy’s graduation and PyCon Uganda was rewarding and helped me discover a newfound love for teaching. 🎯 Goals & Systems: Setting and tracking intentional goals weekly proved to be a game-changer in achieving both personal and professional milestones. 🚀 What’s Next for 2025: 💻 Diary of a Techie 100 Days of Code Challenge: Build consistency, accountability, and skills in tech with the first cohort starting January 8th. Registration closes 5th January at 23:59! 🔗 Sign up here: https://lnkd.in/dx3bteQA 📲 Follow us: Instagram: @diaryofatechie | Twitter: @_diaryofatechie 🤝 Mentorship & Teaching: Continue mentoring and exploring the joy of teaching through speaking engagements. 🎯 Intentional Goals: Set actionable goals and create systems to stay on track throughout the year. 🌍 Community Focus: Stay committed to giving back and growing with the tech community. Thank you to everyone who has been part of this journey—you’ve made 2024 truly special. Here’s to a brighter and more impactful 2025! 🎉✨ Link to the full blog post: https://lnkd.in/dTddUhcT #2024Reflection #100DaysOfCode #TechCommunity #GrowthMindset

Here's my 2024 LinkedIn Rewind, by Coauthor.studio: 2024: The Year I Became a Responsible Data & AI Steward When I started the year, I knew technology was changing; but I didn't realize how profoundly we'd need to reshape our approach to AI and data. At The Stepstone Group, I continued developing product insights, but my real journey was in understanding how we can deploy AI responsibly. Working with GradeFlow to design an AI-powered grading system wasn't just about efficiency—it was about creating technology that genuinely supports educators. Three moments crystallized this year's learning: 1. AI Governance Certification When I completed the Securiti AI Governance Certification, I realized guardrails aren't limitations—they're enablers of responsible innovation. "The widespread adoption of AI necessitates methodical guardrails to govern, manage, and secure its use." https://lnkd.in/dwypTBu8 2. Phoenix Ke Analytics Mentorship Mentoring isn't about transferring skills—it's about mutual growth. Helping my mentee Wanjiku Kabiro secure a full-time role reminded me that technology's true power is human potential. https://lnkd.in/dmu-j44v 3. Deep Technical Understanding As Alexander Pope said, "A little learning is a dangerous thing." Diving deep into tools like Airbyte taught me that understanding isn't just about knowing—it's about contextualizing. https://lnkd.in/dvaD8uMq Beyond projects, I developed end-to-end data and AI pipelines, enabling personalized learning support. I obtained certifications in AI Safety Governance and NVIDIA Data Science, each expanding my understanding of technology's ethical dimensions. In 2025, I'm committed to scaling responsible AI implementation across enterprise systems. But more importantly, I want to continue building data analytics & AI excellence within Kenya's vibrant tech ecosystem. To my Phoenix Ke Analytics community, mentees, fellow AI Safety Advocates, and fellow data practitioners: our work isn't just about code. It's about creating technology that serves humanity. #LinkedInRewind #2024Wrapped --

This dashboard was created from a dataset sent in Phoenix Ke Analytics WhatsApp group. The dataset is about health insurance from which I was able to determine the number of people with past and present insurance coverage, what percentage of people who go for cancer screening and regular checks have insurance, what number of people had insurance coverage at the time of hospital visit, income and employment status of people with or without coverage. Let me know what you think

We're so grateful for your support throughout the year. As we wrap up 2024, we wish you all a joyful and relaxing holiday season. We'll see you back on January 6th, ready to tackle new challenges and opportunities together! 🎉✨ #phoenixanalyticske #merrychristmas #happynewyear #holidaygreetings #seeyouin2025 #dataanalytics #datacommunitykenya #datascience

2024 reminded me why I started Phoenix Ke Analytics because talent isn't the problem in Africa - access and opportunity are. Between being named in Top 40 Under 40, speaking at Africa Tech Festival, and watching our first cohort of mentees graduate, this year proved what's possible when we invest in African data talent. But it also showed how much work we still need to do. Key moments that shaped our mission: • Graduated 100+ mentees through Phoenix KE Analytics • Spoke about AI's future in Africa at Africa Tech Festival • Launched successful second cohort of mentorship program • Built partnerships with leading tech companies • Named in Top 40 Under 40 Women in Kenya Three posts that captured what matters most: "The Challenge of African Datasets" If we want AI to truly work for Africa, we need to feed these models with our data, from our experiences. https://lnkd.in/dDJ7yxPY "From Zero to Data Champion" My journey from not knowing what SQL was to leading a data community. Because if I could do it, so can you. https://lnkd.in/dxv2dVXb "Africa Tech Festival Reflections" AI has to work for us, not the other way around. We need to stop being just consumers and step up as creators. https://lnkd.in/daydHqd9 Looking ahead: In 2025, we're expanding Phoenix KE Analytics across East Africa while pushing for more open African datasets. Because by 2050, Africa will have the youngest population globally - and they deserve more than just access to technology. They deserve to shape it. To every African data professional fighting to be seen, heard, and valued: your work matters. Your voice matters. And together, we're building something bigger than ourselves. #dataanalytics #datascience #AfricaRising #AI #PhoenixKEAnalytics #LinkedInRewind

We're back with more cutting-edge AI tools designed to enhance your workflow and boost productivity. From automating tasks to gaining deeper insights, these tools are here to transform how you work. Swipe through to explore: ➡️ AI Tools for image enhancer ➡️ AI Tools for CRM ➡️ AI Tools for presentation ➡️ AI Tools for research... and many more. Missed Part 1? Check out our previous post for more innovative AI solutions. Which AI tools are you excited to try? #aitools #innovation #productivity #technology #phoenixanalytics #aitoolsfordataanalysis

Phoenix KE Analytics invites you to an open mic discussion on data with Cynthia Nafula, BI Analyst. Even during the holiday season, it’s a perfect time to reflect on the past year and share new insights. 🗓 Date: Monday, December 23 🕗 Time: 8:00 PM - 9:30 PM 📍 Find us on X: @phoenixanalyt3 Set reminder here: https://lnkd.in/d6mvb9RU Whether you're on a break or wrapping up your year, join us for an engaging and insightful conversation about data and analytics. Your insights and experiences are valuable. See you there! 🚀✨ #phoenixanalyticske #XSpace #datadiscussion #holidayseason #communityengagement

Check out our curated list of new AI tools designed to enhance various functions and boost productivity. From data analysis to creative content generation, these tools are here to revolutionize your workflow! Stay tuned for Part 2, where we dive into even more innovative AI solutions! #AITools #innovation #productivity #technology #phoenixanalyticske #aitoolsfordataanalysis #dataresources #aiindata #aiindataanalysis #airesources

🚀Excited to share my latest project! I recently completed an analysis project focused on analyzing sales data to understand sales and customer behavior. Had lots of fun working on this project, combining both my SQL and Power BI skills. I used SQL for data cleaning which involved handling missing values, N/As and nulls. I was able to populate and update the values from the data itself using JOINs. With Power BI, I transformed the data and established relationships between existing tables before visualization. I had the opportunity to present my findings to my amazing mentor Mercy Shitolwa, thanks to the mentorship program by Phoenix Ke Analytics, receiving feedback that helped me refine my analytical and presentation skills. This experience deepened my understanding of: ✅ Data cleaning and transformation techniques ✅ Creating interactive dashboards ✅ Scheduling data refresh and forecasting on Power BI ✅ Leveraging data for business insights I'd love to hear your thoughts or feedback! If you're working on similar projects or have tips for improving data analysis workflows, let’s connect and share ideas 🙂 Here's the link to the project: https://lnkd.in/d_RiDwpd

🌟 Excited to Share My Latest Project on Customer Attrition! 🌟 Understanding why customers leave is critical for businesses to thrive. To address this, I worked on an exciting Customer Attrition Prediction project! 🚀 Special thanks to Phoenix Ke Analytics and my mentor Rodgers Bonaventure for their invaluable guidance. What I Built: ✅ A Machine Learning Model: Predicts customer churn with impressive accuracy. ✅ An Interactive App: Makes it easy to visualize and act on the insights. 🔗 Check out the project on GitHub: https://lnkd.in/dKvvRMKg 🖥️ Interact with the app https://lnkd.in/dmn7nvgf Recommendations: 1️⃣ Focus on Transaction Features Total_Trans_Ct and Total_Trans_Amt are significant predictors. Segment customers based on transaction count or amount to uncover trends and behaviors. 2️⃣ Analyze Balance-Related Features Explore Total_Revolving_Bal and Avg_Utilization_Ratio for patterns. Investigate customers with high utilization ratios or revolving balances to identify risky or profitable segments. 3️⃣ Feature Optimization Reassess features like Gender, Card_Category, and Marital_Status. Dropping low-importance features may simplify the model without reducing performance. 4️⃣ Model Enhancement Engineer features such as transaction frequency over time. Explore interactions between Total_Trans_Ct and Total_Trans_Amt. 5️⃣ Business Insights Develop campaigns to engage customers with high transaction counts but low amounts. Address inactivity (Months_Inactive_12_mon) through re-engagement strategies. This project challenged me to leverage data preprocessing, feature engineering, and model optimization techniques to craft a solution tailored for real-world applications. Your feedback and suggestions are always welcome! Let’s connect and share ideas. 😊 #MachineLearning #DataScience #CustomerAttrition #Python #OpenSource