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131

junior data scientist

  • Exposure to predictive modeling, data processing, and dashboard development
  • Was part of the initiative to build statistical models using historical data to predict student success factors across the education to employment journey, Focused on analyzing the factors affecting the student journey
  • Conducted data preparation (data cleaning, data transformation) using OpenRefine, and Developed prediction models using machine learning algorithms using in R
  • Created high-quality dashboards and charts for data visualization in Helical that helped to generate business insights for the client
  • Hands on experience in R programming, SQL, OpenRefine and Helical
  • Knowledge in Logistic Regression and Random Forest algorithms
  • Developed web scrapers to pull raw data from the web
132

data scientist

  •  Defining the scope for ML and analytics in different areas of business
  •  Analyzing and performing EDA extensively in datasets and generating insights from it.
  • Statistical analysis of the various used cases through usage of various ML techniques such as Random Forest, XG boost, Decision Tree, Neural Networks, and Deep Learning
  • Building various ML driven fraud detection products as per the needs of the business  
133

data scientist

  • Assisted in developing internal Business Intelligence tool