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Data Scientist

0.00 to 3.00 Years   Chandigarh   29 Jan, 2021
Wade Maritime Consultants Pvt Ltd
Job LocationChandigarh
EducationNot Mentioned
SalaryRs 1.0 - 4.0 Lakh/Yr
IndustryShipping
Functional AreaSupply Chain / Logistics
EmploymentTypeFull-time

Job Description

  • Provide backend support to consultants and analysts.
  • Extract data from different data sources (PDF, web pages, journals, etc.)
  • Analyze raw data: assessing quality, cleansing, structuring for downstream processing
  • Design accurate and scalable prediction algorithms
  • Collaborate with analysts team to bring analytical prototypes to production
  • Generate actionable insights for business improvements
  • Create and implement Macros in Excel & Use Excel capabilities of Vlookup, Concatenate, Trim & If statement, etc.
  • Identifying outliers
  • Generate inference from data using pivot tables & charts
  • Select features, building and optimize classifiers using machine learning techniques
  • Data mining using state-of-the-art methods
  • Extend companys data with third party sources of information when needed
  • Enhance data collection procedures to include information that is relevant for building analytic system
  • Processes, cleanse, and verify the integrity of data used for analysis
  • Doing ad-hoc analysis and presenting results in a clear manner
  • Create automated anomaly detection systems and constant tracking of its performance
  • Closely work with Maritime Analysts
  • Import excel data to SQL server, populate data in SQL Server and create SQL queries to generate data inference in Tableau
  • Establish automation for data extraction using python
  • Create regression and other queries in Tableau
Qualifications:
  • Required candidate with Bachelors degree or equivalent experience in quantitative field(Statistics, Mathematics, Computer Science, Engineering, etc.) with an excellent communication skills
  • At least 1-2 years of experience in quantitative analytics or data modeling
  • Deep understanding of predictive modeling, machine-learning, clustering and classification techniques, and algorithms
  • Fluency in programming language (Python, C, C++, Java, SQL)
  • Familiarity with Big data frameworks and visualization tools(Cassandra, Hadoop, Spark, Tableau)

Keyskills :
sqldeep learningstatisticsjavatableaupythonmachine learning

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