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

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.

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.

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

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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