Job Description

  • Knowledge on programming Languages- R, Python
  • Machine Learning Algorithm :
    a) Supervised Learning - Linear Regression, SVM, Decision Tress, Random Forest
    b) unsupervised Learning - K means Clustering, KNN Clustering
  • Exploratory Data Analysis (EDA)
  • Data Wrangling
  • Principal Component Analysis - PCA
  • Data Visualization
  • Python Packages- S K Learn, NumPy, Pandas
  • MatPlotLib
  • MS- Excel
  • Natural language processing, Data Mining, Mathematical Programming, Deep Learning- Keras, TensorFlow
  • Familiarity with open source tools and Libraries for Python
  • Research Oriented
  • Good coding skills with exception handling, Logging and Debugging.
  • Role & Responsibilities

  • Understand and support existing models
  • Device solutions for new problems
  • Handle Data Wrangling, Featured Engg, Model Testing and Production Model Coding
  • Absolutely hands on coding
  • Leading a team and assigning tasks to fresh Data Scientists.

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