I’m an AI/ML researcher and data science professional with a Master's in Artificial Intelligence from the University of Melbourne 🎓.
I an interested at the intersection of machine learning, data analytics, healthcare innovation, and data engineering, bridging research excellence with industry-grade solutions.

• 🧠 Academic Focus: ML in Healthcare, Computational Neuroscience, Multi-modal Data Fusion, Generative AI
• 💼 Professional Expertise: Data Analytics, Data Visualizations, Predictive Modeling, R&D Data Engineering, Cloud-based ML Deployment
• 🏆 Impact: Developed AI-driven healthcare models, optimized data pipelines for business KPIs, and authored peer-reviewed publications
• 🌏 Experience: Industry & research collaborations across Australia 🇦🇺 & India 🇮🇳

Project	Visualization	Context & Tech Stack
Financial KPI Reporting		Built a PySpark-powered ETL pipeline to process financial transaction data, created KPI dashboards in Power BI for business monitoring and fraud segmentation. Highlights expertise in big data processing and BI reporting workflows.
ICU Mortality Prediction		Developed interpretable predictive models for ICU sepsis mortality using real-world hospital data, balancing research accuracy and clinical applicability (Random Forest, Regression, Neural Nets, Model Interpretibility)
AI-Driven Audit Log Risk Scoring		Combined anomaly detection research with enterprise DevOps for scalable audit log monitoring (Azure ML, Python, Azure DevOps)
Fine-Tuning Vision Transformer		Adapted Vision Transformer architecture for binary classification, demonstrating both academic rigor and model deployment readiness (PyTorch, Fine-tuning, ViT)
Conversational Healthbot		Built a Dialogflow CX health assistant capable of patient scheduling and real-time query handling, deployable in both research trials and production settings (Dialogflow CX, GCP, ngrok, Flask)

• 📄 Peer-reviewed Research (Data Analytics): AI-Related Advertising on Facebook: Addressing Bias, Targeting Challenges and Regional Factors (First Author)
• 🏆 Academic Award: Grand Challenge – Innovation Award for leading and delivering client-focused, data-driven solutions
• 📊 Healthcare AI Research: Patient phenotyping, ICU mortality prediction, computational neuroscience modelling
• 🔬 R&D Work: Built scalable ML pipelines and cloud-deployed models for both research and enterprise needs

💼 LinkedIn: linkedin.com/in/sera-singha-roy
📧 Email: serasroy01@gmail.com