We’re thrilled to welcome LI SHI, a PhD student from the University of Texas, Austin, as our #DAAD intern. 🎓📊 Shi Li’s research uses neuro-physiological methods to explore human behaviorial information and the interactions with information systems. She finds her #internship in data science department fulfilling, with supportive colleagues and ample opportunities for learning and applying her skills in data analysis and visualization and management. 🤝 Welcome, Shi Li! We’re excited for your contributions. 🌟 #DataScience #AI
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Sharing knowledge is always a pleasure and I do it with great enthusiasm. Read our blog here: https://lnkd.in/d_HQTrRi #sustainablefuture #AI #responsibleAI #knowledge #knowledgesharing #MLinformation
🌟 Insights from Lizette de Wet: Crafting Responsible AI at Praelexis 🌟 On August 14, 2024, seasoned professional Lizette de Wet shared her expertise with Stellenbosch University’s Operations Research Honour’s Students. She dove into Praelexis’ mission: Crafting Responsible AI for a Sustainable Future. Ryno Kleinhans, our data scientist, also joined the conversation by sharing exciting projects. #AI #ResponsibleAI #DataScience Interested in responsible AI and data science? Reach out to us at vacancies@praelexis.com to learn more about our internships! 📩 https://lnkd.in/dHRhbS9N
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Proud to Share My Summer Internship Experience! This summer, I had the opportunity to intern with the Think Neuro Summer '24 Internship at UCLA and UC Berkeley, where I worked on a cutting-edge project titled Advancements in Alzheimer’s Disease Diagnosis: Integrating AI, Machine Learning, and R Programming for Biomarker Analysis. Our team conducted an in-depth Bibliometric Analysis utilizing the World of Science Database and advanced R programming techniques. We focused on extracting, analyzing, and interpreting global data on Alzheimer’s Disease (AD) biomarkers, particularly how cerebrospinal fluid (CSF) and neuroimaging biomarkers contribute to various treatment plans, including Disease-Modifying Therapies (DMTs). As a computer science engineering student, I played a key role in implementing AI and machine learning algorithms to process large-scale datasets, uncover patterns, and develop predictive models that could be used for early detection and treatment strategy optimization in AD research. Collaborating with a talented team, including Kamya Harper, CrystalJade Johnson, Christine Chung, Andrew Yang, Maceo Sweeney, Noor Lais, Likhita Yegireddi, and Kaylen Chan, we developed and presented our findings, which I’m excited to share through our research poster. #AI #MachineLearning #RProgramming #AlzheimersResearch #DataScience #ComputerScience #ThinkNeuro #UCLA #UCberkeley #HealthcareInnovation
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These sessions are invaluable for preparing students for internships and careers in data science, AI, and machine learning, offering a glimpse into the workflows and expectations of professionals in the field.
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Honored to share my first post on LinkedIn 🎓✨️ Leveling up my skills through the Summer Internship conducted by St.Joseph's Institute Of Technology on Artificial Intelligence and Data Science!💡Ready to make an impact in the world of AI and technology💪 #ContinuousLearning #TechInnovation
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🚀 Thrilled to Announce the Completion of My Data Science Internship at Null Class! 🚀 I am excited to share that I have successfully completed my Data Science internship at Null Class, where I had the incredible opportunity to dive deep into the fascinating world of facial emotion detection using machine learning. During this internship, I worked on various aspects of developing and optimizing machine learning models, and here are some key highlights of my experience: 🔍 Data Collection & Preprocessing: Curated a robust dataset for facial emotion recognition. Implemented advanced data cleaning, normalization, and augmentation techniques. 🧠 Model Development & Training: Explored and trained Convolutional Neural Networks (CNNs) for accurate emotion classification. Leveraged transfer learning to enhance model performance and efficiency. 📈 Evaluation & Optimization: Conducted thorough model evaluations using key metrics such as accuracy, precision, recall, and F1-score. Applied hyperparameter tuning and cross-validation for optimal model performance. 💻 Deployment & Integration: Developed a prototype application for real-time facial emotion detection. Collaborated with the software development team to integrate the model into a user-friendly interface. 🤝 Collaboration & Communication: Worked alongside talented mentors and team members to achieve project goals. Presented findings and progress to stakeholders, highlighting key insights and recommendations. This internship has been an invaluable experience, significantly enhancing my skills in data science and machine learning. I am grateful to the entire Null Class team for their guidance and support throughout this journey. Looking forward to applying what I’ve learned to future projects and continuing my growth in the field of data science. Here’s to new challenges and opportunities ahead! 🌟 #DataScience #MachineLearning #FacialEmotionDetection #Internship #NullClass #Grateful #CareerGrowth #MachineLearningInternship
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Data Science & AI Content Creator | Daily Knowledge Drops | 🧠 Feeding curious minds 24/7 | Data Scientist
Excited to share that I've accepted a summer internship at Green Vision, a leading AI and machine learning company! I'll be working on developing new deep learning models for their computer vision product suite. Can't wait to apply my coursework in a real-world setting and learn from the talented team at Green Vision. This is an incredible opportunity to gain practical experience in the fast-paced world of machine learning. Looking forward to this exciting chapter! #internship #datascience #machinelearning #deeplearning #artificialintelligence
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🔍 Data Scientist | 🎩 Math Magician | 🎓 Upcoming Grad of B.S. in Applied Mathematics & Minor in Computer Science | 📊 Passionate about leveraging data for impactful decisions | 🚀 Open to Entry-Level Opportunities
Hello, LinkedIn network! I’m Joshua Lanier, soon to be an alum of Columbus State University with a B.Sc. in Applied Mathematics and a minor in Computer Science. I'm diving into the dynamic LinkedIn arena to forge connections, absorb wisdom, and contribute to the vibrant discourse on #DataScience, #Mathematics, and #TechInnovation. My academic odyssey has been a blend of rigorous mathematical analysis, advanced programming, and practical data applications, preparing me for the intricate dance of numbers and algorithms that drive today's data-centric world. 🌟 My Passion: - Unraveling the mysteries of data to uncover insights that influence strategic decisions and foster innovation. - Committing to a lifelong journey of learning, aiming to stay at the forefront of technological advancements and data science trends. - Embracing complex problem-solving with a blend of analytical rigor and creative thinking. 🔭 I'm Eager to: - Network with enthusiasts and professionals in the realms of technology, data analytics, and applied sciences. - Exchange knowledge, delve into the latest industry developments, and share my perspective on the evolving landscape of data science. - Collaborate on initiatives that challenge conventional thinking and contribute to technological progress. 🌿 Let's Connect: If you're passionate about the transformative power of data, interested in the confluence of technology and analytical sciences, or keen on discussing the future of data-driven decision-making, I’d love to connect. I’m all ears for collaboration ideas, internship opportunities for this summer, or simply engaging conversations about the next big thing in tech and data. #FutureDataScientist #TechnologyEnthusiast #InnovationInData #Networking #CareerOpportunities #SummerInternship
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Intern Spotlight: Meet Saumil Chukka! Join us this summer as we learn more about the dedicated interns working at Envisagenics. Up first is Data Science Intern Saumil Chukka! Hometown: Virginia School: The University of Virginia Degree: Computer Science and Neuroscience Class: 2026 Why intern at Envisagenics: "I'm interested in the intersection of Computer Science and Biology, particularly how Machine Learning can be used to predict and determine biological patterns. I was intrigued by Envisagenics' goal to use Machine Learning to identify novel therapeutics for future drug development." What are some of your interests outside of work: "In my free time, I play and watch a lot of soccer, try different types of food, and travel." What are your plans after completing this internship: "After this internship, I will go into my 3rd Year at the University of Virginia. After I graduate, I hope to work toward a Master's Degree in Data Science or Bioinformatics."
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Hello everyone, Excited to unveil my internship project at AIMER Society - Artificial Intelligence Medical and Engineering Researchers Society. "Unlocking insights visually: Exploring questions and answers through the power of data visualization". 📊💡 #AIMERS #AIMERSOCIETY #DATANALYSIS #AIChallenge #TechInnovation #DataScience #MachineLearning #AIForGood #DataVisualization
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I'm excited to share that I'll soon complete my Master's in Computer Science, specializing in Artificial Intelligence, from Indiana University Luddy School of Informatics, Computing, and Engineering. My journey was enriched by internships at SparkCognition and Combined Curiosity, where I applied my learning in real-world tech solutions. I'm confident that these hands-on experiences have thoroughly prepared me for the next phase of my career. Indiana University Bloomington has offered me unparalleled opportunities to delve into AI and ML, equipping me with the knowledge and skills to tackle complex challenges in these fields. My internships have allowed me to put theory into practice by working on cutting-edge projects alongside skilled professionals, effectively bridging the gap between academic research and real-world application. These experiences have further ignited my passion in AI, ML, and software engineering. I'm grateful for the support from mentors at Indiana University and my internships. As I begin my job search in AI, ML, and software engineering, I welcome connections to share any relevant opportunities. #AI #MachineLearning #SoftwareEngineering #IndianaUniversity #Luddy #TechCareers #Innovation
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