Data Analyst
Siemens Healthcare GmbH
(Pharmaceuticals and medical technology, >10.000 employees)
Keywords
Skills
SAS Certified Specialist (Base, Report, ODS, GRAPH, STAT, MACROS, SQL), SAS Viya, PySpark, Jupyter Notebooks, Python, NumPy, Pandas, Anaconda, SQL, R-tool and Tableau (BI-Tool)
Project history
04/2021
-
Present
▪ ETL (Extraction, Transformation and Loading) of MedTech machine data
▪ Programming in SAS Enterprise Guide and Databricks (PySpark, SQL)
▪ Supporting team with data visualization with SAS Visual Analytics (Viya) for reporting
Key Achievements:
▪ SAS Visual Business Analytics Specialization (SAS Viya)
▪ Transformed SAS data steps to the Databricks PySpark data steps
▪ Programming in SAS Enterprise Guide and Databricks (PySpark, SQL)
▪ Supporting team with data visualization with SAS Visual Analytics (Viya) for reporting
Key Achievements:
▪ SAS Visual Business Analytics Specialization (SAS Viya)
▪ Transformed SAS data steps to the Databricks PySpark data steps
10/2020
-
01/2021
Clinical SAS (Statistical Analysis in Clinical Research) Trainee
Biomed Informatics, Medwin Hospital, India
Clinical SAS (Statistical Analysis in Clinical Research) Trainee
▪ SAS/BASE, SAS/REPORT, SAS/GRAPH, SAS/MACROS, SAS/SQL, SAS/STAT (Data Analysis)
▪ Biostatistics
▪ CDISC Standards (SDTM, ADaM) - Basics
▪ Project based on clinical data (diabetes data)
Key Achievements:
▪ SAS Certified Specialist: Base Programming Using SAS 9.4 - Credly
▪ SAS/BASE, SAS/REPORT, SAS/GRAPH, SAS/MACROS, SAS/SQL, SAS/STAT (Data Analysis)
▪ Biostatistics
▪ CDISC Standards (SDTM, ADaM) - Basics
▪ Project based on clinical data (diabetes data)
Key Achievements:
▪ SAS Certified Specialist: Base Programming Using SAS 9.4 - Credly
01/2017
-
09/2020
Further Development - Data Science and Programming
I passionately enhanced my skills into programming, biostatistics, and data analytics:
▪ Clinical Data Management (using SAS)
▪ Understanding Clinical Research: Behind the Statistics
▪ Design and Interpretation of Clinical Trial (ICH-GCP, CRF)
▪ Python, Pandas, NumPy, Jupyter, SQL Programming
▪ Tableau 10 A-Z: Hands-On Tableau Training for Data Science
▪ R Programming A-Z: R for Data Science
Key Achievements:
▪ Learned analyzing real-world data using statistical methods and python programming
▪ Developed good understanding of clinical research / trial
▪ Clinical Data Management (using SAS)
▪ Understanding Clinical Research: Behind the Statistics
▪ Design and Interpretation of Clinical Trial (ICH-GCP, CRF)
▪ Python, Pandas, NumPy, Jupyter, SQL Programming
▪ Tableau 10 A-Z: Hands-On Tableau Training for Data Science
▪ R Programming A-Z: R for Data Science
Key Achievements:
▪ Learned analyzing real-world data using statistical methods and python programming
▪ Developed good understanding of clinical research / trial
01/2015
-
06/2020
Intern in “Biomedizinisches Forschungszentrum Seltersberg”
Justus-Liebig-Universität, Gießen, Deutschland
01/2013
-
06/2020
Praktikant
Goethe Universitätsklinikum, Frankfurt am Main, Deutschland
01/2015
-
12/2016
Masterarbeitsstudent
Max Planck Institut für terrestrische Mikrobiologie, Marburg, Deutschland
Titel der Masterarbeit (Note: 1,3): Establishing a genetic system to use B.subtilis spores as carrier for
biocatalytic enzyme cascades.
(Aufbau eines genetischen Systems zur Verwendung von B. subtilis-Sporen als Träger für biokatalytische
Enzymkaskaden.)
* Entwicklung eines NEUEN Systems auf der Oberfläche von B. subtilis-Sporen zur Darstellung verschiedenster
Proteine
* Das entwickelte System könnte einen einfachen Filter zur idealen Kombination von Komponenten
ermöglichen
biocatalytic enzyme cascades.
(Aufbau eines genetischen Systems zur Verwendung von B. subtilis-Sporen als Träger für biokatalytische
Enzymkaskaden.)
* Entwicklung eines NEUEN Systems auf der Oberfläche von B. subtilis-Sporen zur Darstellung verschiedenster
Proteine
* Das entwickelte System könnte einen einfachen Filter zur idealen Kombination von Komponenten
ermöglichen
01/2011
-
12/2012
Projektstipendiat
Birla Institute für Technologie, Ranchi, Indien
Projekttitel: Studien zum immuntoxischen Profil und zur Proteomik von Deltamethrin in murinen Thymozyten
und Splenozyten: Abschwächung durch Kräuter.
* Labor für Projekt eingerichtet
* Versuchsplanung
* Zusammenfassung des Projekts schreiben
* Lesen von Forschungsarbeiten
und Splenozyten: Abschwächung durch Kräuter.
* Labor für Projekt eingerichtet
* Versuchsplanung
* Zusammenfassung des Projekts schreiben
* Lesen von Forschungsarbeiten
Local Availability
Open to travel worldwide
Other
Professional Summary:
▪ High level of education and training ensures that I can perform the job needed in the biotech and pharma industry using my skills in data science
▪ Proficient in programming languages like SAS Base 9.4 (Certified Specialist), and PySpark (Databricks), SQL and data analy-sis tools like SAS Enterprise Guide and data visualization tools like SAS Viya, Tableau 10
▪ Good understanding of clinical research and (Bio-)statistics
▪ Excellent observational skills, accuracy in following procedures and keeping records, readiness of mind, team spirit, network-ing, strong written and verbal communication skills, critical and analytical thinker
Continuously exploring and upgrading practical skills in new digital domain of Data Analytics:
▪ Upgrading skills in Databricks, Apache Spark, PySpark for bigdata analysis of MedTech machine data
▪ Clinical SAS programmer: SAS/Base, SAS/Report, SAS/GRAPH, SAS/STAT, SAS/MACROS, SAS/SQL
▪ Winner of Udacity Technology Scholarship powered by Bertelsmann for Data Science Track
▪ High level of education and training ensures that I can perform the job needed in the biotech and pharma industry using my skills in data science
▪ Proficient in programming languages like SAS Base 9.4 (Certified Specialist), and PySpark (Databricks), SQL and data analy-sis tools like SAS Enterprise Guide and data visualization tools like SAS Viya, Tableau 10
▪ Good understanding of clinical research and (Bio-)statistics
▪ Excellent observational skills, accuracy in following procedures and keeping records, readiness of mind, team spirit, network-ing, strong written and verbal communication skills, critical and analytical thinker
Continuously exploring and upgrading practical skills in new digital domain of Data Analytics:
▪ Upgrading skills in Databricks, Apache Spark, PySpark for bigdata analysis of MedTech machine data
▪ Clinical SAS programmer: SAS/Base, SAS/Report, SAS/GRAPH, SAS/STAT, SAS/MACROS, SAS/SQL
▪ Winner of Udacity Technology Scholarship powered by Bertelsmann for Data Science Track
