Sri Lakshmi M S’ Post

ML Internship with CodeAlpha Task 3: Disease Prediction from Medical Data Embarking on the next phase of my ML internship with CodeAlpha , I delved into disease prediction, specifically strokes. Utilizing a dataset focused on strokes, I employed classification algorithms to develop a model predicting stroke likelihood based on symptoms and patient history. This hands-on experience deepened my understanding of healthcare analytics and the critical role of machine learning in stroke prediction. #codealpha #internship

"Excited to kick off my internship diving into the world of machine learning for diabetes prediction! 🌟 My first task involves exploring how ML algorithms can help forecast diabetes risks. Looking forward to sharing insights and progress along the way! #MachineLearning #DiabetesPrediction #InternshipJourney#internpe"InternPe

During my internship in 2021 summer digiM, I did a study focusing on the autocorrelation function of 3D imaging data for microstructure characterization. When I worked on this article initially, I used many Fourier concepts as a black box tool such as frequency domain, phase invariance, and autocorrelation itself. After struggling and fighting my way through a challenging Fourier class at RIT during my imaging science undergrad, I had a revelation to the true value of the science behind the Fourier analysis and frequency domain insights. Really cool to see how essential it is to embrace continuous learning for unlocking new perspectives and driving innovation.

Completed Task 1 of my internship at InternPe: Made a Diabetes Prediction using Machine Learning ,We aim to develop a prediction system using machine learning to detect and classify the presence of diabetes in e-healthcare environment using Ensemble Decision Tree Algorithms for high feature selection.Learning and growing with every task! 

Hello connections, Task 2:🔄 I'm pleased to show my most recent invention! Use a dataset containing ⚕️ medical 🏥 data of patients to predict if a person has diabetes or not. This is for a Machine Learning Internship project at TechnoHacks EduTech Official under the guidance of Sandip Gavit Check out the demonstration 🪧 video below! #machinelearning  https://lnkd.in/ggxq44aU

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."

🎉 Thrilled to announce that I have successfully completed my Machine Learning internship with Internpe! 🎉 During this internship, I had the opportunity to work on several impactful projects, including: - Diabetes Prediction - Car Price Prediction - IPL Winning Prediction - Breast Cancer Prediction This internship has been an incredible journey, providing me with valuable skills and practical experience in the field of machine learning. A big thank you to my mentors and the team at Internpe for their guidance and support throughout this program. Excited to apply these skills in future projects and continue exploring the endless possibilities of machine learning! #MachineLearning #DataScience #ArtificialIntelligence #Internship #Internpe #Achievement

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

Hello Connections !! Just Completed 👉InternCareer👈 Machine Learning internship program. Task-2 : Breast Cancer Wisconsin (Diagnostic) " ➡ Machine learning is just a fancy term for computers playing hide and seek with data." " ✔ The six stages of machine learning: 1. Data Exploration, 2. Data Preprocessing, 3. Model Building,4.Model Evaluation,5. Model Tuning, 6.Documentation." " ✔ Machine learning algorithms are like toddlers - they learn from examples, make a lot of mistakes, and sometimes, you have no idea how they came up with that answer ⬅ . Thankyou Nallagoni Omkar for your guidance. Github-https://lnkd.in/gKccVRrC . . . . . #interncareer #internship #machinelearning #machinelearningalgorithms #machinelearningmodels

🚀 Thrilled to share my journey at Acmegrade during the internship program! 🌐✨ Here are snippets of the impactful projects I spearheaded: 1. 📈 **Stock Price Prediction:** Unveiling the future of finance! Delved into the intricacies of stock market data, crafting predictive models that danced with market trends. #FinanceFuturist #StockMarketWizard 2. 🍿 **Movie Recommendation System:** Became the cinephile's best friend! Engineered a personalized movie recommendation system, making every movie night unforgettable. 🎬✨ #MovieBuff #AlgorithmicEntertainment 3. 🩺 **Cancer Prediction:** Merging tech with healthcare! Developed a cutting-edge model for cancer prediction, harnessing the power of machine learning to aid in early diagnosis. 🌐💪 #TechForGood #HealthTechInnovator Excited to connect, share insights, and explore new horizons! Let's chat about data, algorithms, and the future of tech. 🚀🔍 #DataScience #MachineLearning #InternshipHighlights