Here is my linkedin https://www.linkedin.com/in/adityapatel2609  ... View more

Hi @NadaMaher @Talaat @MalakEssam @Prasanta_Singh @Hesham87 @nadeenamgad @Ahmed_Galal @monalisa_singh @Afridh @mahmoudshawkyy — I’m very impressed with MedNova’s ClinIQ idea of using agentic AI to empower patients and assist doctors with rare disease diagnosis and integrated care plans. If your team is open to additional members, I’d be glad to contribute. My background includes: • Predictive Analytics & ML: Python, SAS, TensorFlow, PyTorch — experience with healthcare data modeling and longitudinal patient analysis   • NLP & OCR: text mining, medical record parsing, OCR for scanned PDFs, building explainable AI pipelines • Data Engineering & Visualization: SQL, Pandas, Power BI/Tableau for dashboards that can support patient and doctor decision-making • Cloud Integration: AWS/GCP experience with scalable pipelines for healthcare datasets I’d love to collaborate on model development, patient case management logic, or visualization layers. Please let me know if there’s room on your team.   ... View more

Hi @MariaEduardaC @takaharaaoi10 @abi20015 — I really like your Data Ninjas idea of building a simple but effective tool for data cleaning and organization. If you’re open to new members, I’d be glad to join and contribute. My background: • Data Science & Analytics: Python, SQL, R, SAS; strong focus on data wrangling, preprocessing, and organization   • Automation & Pipelines: experience streamlining ETL processes for structured/unstructured data • Visualization & Dashboards: Power BI, Tableau, and Excel for making outputs more user-friendly • Collaboration: worked across academic and industry projects on cleaning messy datasets and building reproducible workflows I can help design a robust, user-friendly pipeline for cleaning and organizing data, which aligns directly with your use case. Excited to possibly collaborate! ... View more

Hi @MYSCasanova @Chief_SB @calistoe @bCarz @jadedd @markienoodle @javevega @manaloira — I really like the CodePlay use case on optimizing insurance operations with explainable AI. If your team is open to additional members, I’d be excited to join and contribute. My background includes: • Predictive Analytics & ML: Python, R, SAS, scikit-learn, TensorFlow; experience building explainable models and decision-support systems • NLP: text mining, classification, and integration of unstructured text into predictive pipelines • Data Engineering & Visualization: SQL, Pandas, Power BI/Tableau, and pipeline automation for structured/unstructured data • Full-stack familiarity: React, Node.js, Tailwind CSS — helpful for integrating insights into web dashboards   I’d be glad to support on model development, explainability dashboards, or pipeline automation. Looking forward to collaborating if there’s room on the team!   ... View more

Hi @sclar @nates @halle-vii @natsuu @AaronChazers @mikylahc @adrianamhir @andee_est — I’m very inspired by your Health DeTech use case on cancer detection with agentic AI and visualization. I’d love to join your team if you’re open to additional members. My background: • Machine Learning / Deep Learning: Python, TensorFlow, PyTorch; experience with CNNs, transformers, and Grad-CAM style explainability • Medical/Imaging Data: built classification and detection models, preprocessing pipelines, and applied computer vision for segmentation tasks • Visualization: Tableau, Power BI, Plotly/Matplotlib for dashboards and interactive views • SAS & Data Analytics: skilled at preparing and managing structured/unstructured data for ML workflows I can support in areas like medical image preprocessing, explainable AI (heatmaps, visualization), or building the interactive interface. If you have space, I’d be excited to collaborate and contribute.   ... View more

Hi Change Bringers team! I’m Aditya Patel, and I’m excited about your Parkinson’s Neuro Drift idea. My background: • Time-series + ML: feature engineering from sensors, drift/stability checks, classical + deep models (scikit-learn, PyTorch, TensorFlow) • SAS: data prep, analytics, model assessment; comfortable blending SAS with Python • Pipelines & Viz: SQL, Python (Pandas/NumPy), Power BI/Tableau for monitoring dashboards I can contribute to wearable/phone signal feature sets (e.g., tremor/gait variability), longitudinal drift analysis, and model monitoring. If you’re accepting another teammate, I’m available now and can align to NA/APAC times. Contact: aditya.patel2609@gmail.com | theadityapatel.com | LinkedIn: linkedin.com/in/adityapatel2609 ... View more

Interest: I’m looking for a team Track: Healthcare Skills: SAS,Talend, Python, Excel, ML, SQL, AWS, Power BI, Tableau Social Portfolio LinkedIn  ... View more