Abhijit Anand

Bis 2020, Data Scientist, FlixBus GmbH
Berlin, Germany

Fähigkeiten und Kenntnisse

Data science
Information-Retrieval
Machine Learning
Big Data Analytics
Ranking Model
Data-mining
Python
Agile
Java
SciKit-learn
Analysis
Data Analysis
Distributed Systems
Hadoop
Natural Language Processing (NLP)
Master's degree
Data mining
Text Mining
Scrum
Git
Programming
Apache Hadoop
Big data
Software Development
getting-things-done-attitude
attention to detail
Batch Scripting
Agile Development
Agile Software Development
Scrum (software development)
SQL
Selenium
Software Engineering
International experience
Information retrieval
Latex
Information
Engineer
Developer
Informatik
Jira
Information technology
Object Oriented Programming
Algorithm
Search
Computer Science
Analytics
NLP
Statistical Analysis
analytical skills
AWS Sagemaker
Clustering
Classification
Regression
Time Series Analysis
HIve
HQL
Forecasting Model

Werdegang

Berufserfahrung von Abhijit Anand

  • Current 5 years and 3 months, since Mar 2021

    Doctoral Student / Research Engineer

    L3S Research Center
  • Current 5 years and 7 months, since Nov 2020

    Doctoral student/Research Engineer

    L3S Research Center
  • 6 months, Oct 2019 - Mar 2020

    Data Scientist

    FlixBus GmbH
  • 2 years and 8 months, Feb 2017 - Sep 2019

    .

    XING SE

    Involved in all stages of a data science product development from definition, design, development and delivery. ∠ Developed statistical model to improve user insight using location data. ∠ Finding users with similar interest using Doc2Vec and similarity model. ∠ Analyzing live and historic data to provide insights to the data set. ∠ Involved in modelling and statistical analysis that are useful for downstream search and recommendation tasks. ∠ Developed logo detection model.

  • 1 year and 8 months, Oct 2014 - May 2016

    Research assistant

    L3S Research Center

    Worked on research problem on how to rank daily news given a huge news collection(GDelt, STICS) and Wikipedia. Goal is to cluster similar news articles in a day, canonicalize them to a Wikipedia Page and use varied features to rank them precisely and efficiently(Modeling Event Importance for Ranking Daily News Events accepted in WSDM'17 conference). Secondly, to find out why and how do event pages in Wikipedia lag or lead the news and emergence of entity pages in Wikipedia(WebScience'15).

  • 2 years and 10 months, May 2010 - Feb 2013

    Software Engineer

    Persistent Systems Limited

    Understand the design of the application and automate the testing. Automation of UI test cases using RFT and Selenium. Automation of various workflows using RFT and QTP. Automation of Regression testing using RFT. Create documentation of the automation. Responsible for product delivery in each phase of the life cycle. Managing team members and their activities. File and track bugs, prioritizing the task of automation and tests.

  • 2 years and 1 month, May 2008 - May 2010

    Software Engineer

    EFI Electronics for Imaging GmbH

    Part of a team responsible for development of fiery JDF product suite features with very stringent quality control guidelines pertaining to defects using C++. As an scrum team member also responsible for helping in test and test automation. Single point of contact for Phase2 fiery JDF engine support. Active participation in feature / module requirement gathering workshops for better customer satisfaction.

  • 7 months, Oct 2007 - Apr 2008

    Software Developer

    Infosys Limited

    As a developer was responsible to implement features for automated courier delivery system.

Ausbildung von Abhijit Anand

  • 1 year and 8 months, Apr 2015 - Nov 2016

    Internet Technologies and Information Systems

    Leibniz Universität Hannover

    Information retrieval, Data Science, Large Scale Data Mining, Temporal Information Retrieval, Efficient Algorithm, Web Science.

  • 1 year and 7 months, Apr 2013 - Oct 2014

    Informatics

    Technische Universität Darmstadt (TU Darmstadt)

Sprachen

  • English

    C1 (Fließend)

  • German

    A1-A2 (Grundkenntnisse)

  • Hindi

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