Laveena Kewlani

Abschluss: Master of Science, Technische Universität München
Munich, Deutschland

Fähigkeiten und Kenntnisse

Python
PL/SQL
MS-SQL-Server
Machine Learning
Image Processing
MatLab
Data Science
Data Analytics

Werdegang

Berufserfahrung von Laveena Kewlani

  • 7 Monate, Juni 2018 - Dez. 2018

    Data Engineer- Part Time

    codemanufaktur GmbH

    • Data analysis and algorithm development using Python 3.0, PostgreSQL for synchronizing and extracting source code management data that is used as features for a supervised machine learning algorithm • Analyzed the feature combination obtained from source code management data for better classification using different machine learning algorithm on WEKA. • Tools: Python 3.0, PostgreSQL, WEKA

  • 3 Monate, Aug. 2017 - Okt. 2017

    Data Science Intern

    Roche in Deutschland

    • Worked with data management & analysis group and developed a data mining algorithm that analyzed the signal for upcoming drugs and biomarkers in current R&D to predict its FDA approval rates • Supported some other projects that involved data administration and web content management involving various database tools and services used by Roche for data extraction. • Tools: Python, pandas, dataframe, matplotlib

  • 10 Monate, Okt. 2016 - Juli 2017

    Data Analyst- Working Student

    seiratherm GmbH

    • Developed an application for handling raw data from their device Tempedy to ease and automate data analysis and graphical representation using SQL Server and gnuplot • Technical documentation, software testing and maintenance of the test log for gaining better understanding of the device • Tools: MSSQL, gnuplot, Python 3.0

  • 2 Jahre, Okt. 2013 - Sep. 2015

    Junior Product Specailist- Developer

    Cognizant Technology Solutions

    Code development for business logic of US HealthCare Industry on MVC platform using SQL Server 2008 and C#. Along with Coding, I use to work as Business Analysis for the Clients and Technical Supporter for Testing Team.

Ausbildung von Laveena Kewlani

  • 3 Jahre und 3 Monate, Okt. 2015 - Dez. 2018

    Informatik (Biomedical Computing)

    Technische Universität München

    Algorithms for Scientific Computing Tracking and Detection in Computer Vision Advanced Practical Course - GPU Programming in Computer Vision Data Analytics

  • 3 Jahre und 11 Monate, Juli 2009 - Mai 2013

    Biomedical engineering

    Vellore Institute of Technology

    Medical Software, Hospital Information System, Medical Electronics and Devices , Digital Signal processing, Image Processing, Pattern Recognition.

Sprachen

  • Englisch

    Muttersprache

  • Deutsch

    Grundlagen

  • Hindi

    -

  • Punjabi

    -

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