Data Scientist

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Data Scientist
ID : 1272
Education level  : Bachelor's degree
Work experience level  : Experienced- (4-7 year experience)
Work experience in total  : Years
Job type  : Online
Job time  : Maandelijks
Last date of registration :
2022-12-18
Profile description
  • 4+ years of experience in Machine Learning, Statistical Modelling, Data Analysis, Data Manipulation and Data Mining.
  • Proficient in the entire process of SDLC, Agile and Waterfall Methodologies.
  • Good Knowledge of programming languages such as Python, R, SAS and SQL.
  •  Capable of working with various Python IDE such as PyCharm and Visual Studio Code.
  • Understanding of machine learning algorithm such as Linear Regression, Logistic Regression, Decision Trees, Supervised Learning, Unsupervised Learning, Classification,
  • Decision Trees, Random Forests, Naive Bayes, KNN, K Means and CNNS.
  • Proficiency in Python & R programming with various packages such as NumPy, Pandas, Matplotlib, SciPy, Scikit-learn, Seaborn, TensorFlow and Ggplot2.
  • Proficient in designing visualizations using Tableau and Power BI software and
    Storyline on web and desktop platforms, publishing and presenting dashboards.
Work experience In details :
Job position
Job description

Data Scientist - State Street, NC - (January 2021 – Present)

  • Involving requirements gathering, analysis, design, development, testing production of an application using the Agile model.
  • Perform regression analysis in R programming on the various parameters associated with demand forecasting.
  •  Designing Tableau bar graphs, scattered plots & geographical maps to create detail level summary reports and dashboards.
  • Perform data analysis, data migration, data preparation, graphical presentation, statistical analysis, reporting, validation and documentation.
  • Write Unit, Functional, and Integration test cases for Cloud Computing applications on AWS.
  • Implementing Logistic Regression and skilled in Random Forests, Decision Trees, Linear Regression model and Naive Bayes.
  • Developing technical documents and reports and designing data visualizations to communicate complex analysis results.

Data Scientist - TopHat Software Technologies, India - (August 2016 - July 2019)

  • Developed business process models in Waterfall to document existing and future business processes.
  • Developed an inventory analysis web application in Python to generate graphical reports.
  • Created various capacity planning reports using Python packages such as NumPy, Pandas, Matplotlib and SciPy.
  • Developing a program to identify facial expressions in images using information retrieval techniques and machine learning algorithms.
  • Managed raw data collection, preparing and validating raw data for statistical analysis
  • Involved in writing, testing, and implementing triggers, stored procedures and functions at Database level using MySQL.
  • Analysed data for different time intervals using Pivot Tables, Marcos, VLOOKUP in MS- Excel to observe trends.
  • Executed data validation, profiling, data defects clean-up, data improvement initiatives, data quality monitoring reports.
  • Developed a program to identify facial expressions in images using information retrieval techniques and machine learning algorithms.
Hard skills
  • Methodologies
    • SDLC, Agile, Waterfall
  • Language
    • Python, R, SQL, SAS
  • IDEs
    • Visual Studio Code, PyCharm
  • ML Algorithm
    • Linear Regression, Logistic
      Regression, Decision Trees,
      Machine Learning, Unsupervised
      Learning, Classification, SVM, Random Forests, Naive Bayes, KNN,
      K Means, CNN
  • Packages
    • NumPy, Pandas, Matplotlib, SciPy, Scikit-learn, Seaborn, TensorFlow, Ggplot2
  • Visualization Tools
    • Tableau, Power BI
  • Database
    • SQL Server, MySQL
  • Other Tools
    • Git, MS Excel
  • Operating System
    • Windows, Linux
Soft skills
Achievements
Special notes

Reading: Master's degree | SDLC, Agile, Waterfall | Python, R, SQL, SAS | Visual Studio Code, PyCharm | ML Algorithm: Linear Regression, Logistic
Regression, Decision Trees,
Machine Learning, Unsupervised
Learning, Classification, SVM, Random Forests, Naive Bayes, KNN,
K Means, CNN | Tableau, Power BI, SQL Server, MySQL, MS Excel, Windows, Linux

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