24.02.2026 aktualisiert
100 % verfügbar
Digital Health Data Scientist & Healthcare Analytics Specialist
Nuremberg, Deutschland
Weltweit
Masters in Digital Health and Data ScienceÜber mich
I’m Jahnnobi Talukdar, a Digital Health and Data Science student with a Biotechnology background. I combine healthcare knowledge and data skills to deliver accurate, practical solutions. Reliable, detail-oriented, and adaptable.
Skills
Künstliche IntelligenzAnalyse-ToolsData AnalysisBiotechnologieBiologieMedizinische InformatikKrankenaktenKlinische ArbeitenRepository für Klinische DatenMedizinische MikrobiologieDiagnosetestComputerprogrammierungDatenmanagementDatenvisualisierungLinux
Healthcare Analytics and Clinical Data Analysis
Expertise in analyzing clinical datasets, developing healthcare analytics solutions, and working with EHR/EMR systems for data-driven healthcare insights
Machine Learning and AI in Healthcare
Advanced knowledge in regression, classification, feature engineering, and EDA with focus on healthcare applications and AI-driven medical solutions
Data Visualization and Dashboard Development
Proficiency in creating interactive dashboards using Plotly Dash, Tableau, and Matplotlib for clinical quality assessment and healthcare data interpretation
Python Programming and Data Science Libraries
Strong programming skills in Python with expertise in Pandas, NumPy, and Scikit-learn for data analysis and machine learning applications
Biotechnology and Laboratory Research
Solid background in life sciences with hands-on experience in laboratory research, clinical microbiology, and diagnostic testing
Digital Health Systems and GDPR Compliance
Knowledge of digital health regulations, health informatics, and data privacy compliance in healthcare environments
Web Development and Flask Applications
Experience in developing user-driven Flask applications with focus on intuitive interface design for healthcare applications
Version Control and Development Tools
Proficiency in Git, Git LFS, Jupyter Notebook, and advanced Excel for collaborative development and data management
Expertise in analyzing clinical datasets, developing healthcare analytics solutions, and working with EHR/EMR systems for data-driven healthcare insights
Machine Learning and AI in Healthcare
Advanced knowledge in regression, classification, feature engineering, and EDA with focus on healthcare applications and AI-driven medical solutions
Data Visualization and Dashboard Development
Proficiency in creating interactive dashboards using Plotly Dash, Tableau, and Matplotlib for clinical quality assessment and healthcare data interpretation
Python Programming and Data Science Libraries
Strong programming skills in Python with expertise in Pandas, NumPy, and Scikit-learn for data analysis and machine learning applications
Biotechnology and Laboratory Research
Solid background in life sciences with hands-on experience in laboratory research, clinical microbiology, and diagnostic testing
Digital Health Systems and GDPR Compliance
Knowledge of digital health regulations, health informatics, and data privacy compliance in healthcare environments
Web Development and Flask Applications
Experience in developing user-driven Flask applications with focus on intuitive interface design for healthcare applications
Version Control and Development Tools
Proficiency in Git, Git LFS, Jupyter Notebook, and advanced Excel for collaborative development and data management
Erfahrung
Berufserfahrung0 - 5 Jahre
Freelancer seit2026
Sprachen
DeutschgutEnglischMuttersprache
Projekthistorie
Conducted structured in-vitro experiments including mammalian cell culture and viability assessments. Supported cancer drug discovery workflows through accurate laboratory documentation and reproducible data collection.