
Sathish Kabatkar Ravindranth
Fähigkeiten und Kenntnisse
Werdegang
Berufserfahrung von Sathish Kabatkar Ravindranth
• Data collection, analysis and reporting of financial management on Real estate and facilities management at GEA, Site visits for data collection and business assistance • Microsoft excel and power point
Topic: Comparing uncertainty quantification in EHR: Bayesian and Frequentist approaches • Python, Stan, Scikit-learn
• Developed RShiny applications for Clinical trial analysis and reporting, Developed R packages for module creations • Gained experience in R programming, package and shiny application • Familiarised with CDISC standards on clinical data sets
• Support in research paper publications and data collection, presentations • Implementing REST api protocol for a IOT device • Testing devices to interact with the gateway servers and IOT devices • Learning about block chain technology in the field of logistics • Python, C++, Flask
• Gained hands-on experience in designing, implementing and maintaining high-volume and low latency COBOL Applications • Contribution throughout all phases of development life cycle • Writing well-designed, efficient, optimised and testable code • Unit testing, system integration testing, regression testing • COBOL, DB2, VSAM, Python, Kanban
- 1 Jahr, Okt. 2017 - Sep. 2018
Software trainee
Rinsoft
• Trained in complete software lifecycle: analysis, design, development, building, testing, release, maintenance and support • Software development: Javascript, React JS, Github, Excel • Documentation of detailed design, source code and test results
Ausbildung von Sathish Kabatkar Ravindranth
- Bis heute 4 Jahre und 8 Monate, seit Okt. 2020
Data Science
Technische Universität Dortmund
Advanced Statistical Learning | Probability | Linear models | Statistical Inference | Big Data Analytics | Data Structures with Python | R - programming | Optimization | Frequent Item-set mining | Data Science in Practise | Bio Informatics | Advanced ML | Generalised linear models | Toxicology (Testing)
- 3 Jahre und 11 Monate, Juli 2013 - Mai 2017
Electronics
Anna University, Chennai
Calculus | Linear Algebra | Numerical methods | Differential Equations and Transformations Matrices, Eigen values and spaces | Microprocessor and Microcontrollers | Object oriented programming | Data structures and algorithms | Sensors and transducers | Embedded Systems
Sprachen
Englisch
Fließend
Deutsch
Grundlagen
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