Data Scientist

Languages: Python, R, C++, SQL | Primary Skill: Machine learning, Deep Learning, Libraries in Python (Data Science), Tableau

Languages: Python, SQL | Frameworks: Scikit-Learn, Pandas, Numpy, Matplotlib, Seaborn | Platforms: Jupyter Notebook, Google Colab, MS-Office, GitHub, VSCode, Anaconda, Excel, Tableau, Power BI | Professional Skills: Data Science, Data Analytics, Business Analytics, Power BI, ML Modelling, ML Deployment.

A beginner level Data Scientist/ Business Analyst with knowledge in Python and Python libraries, Exploratory Data Analysis, Machine Learning, Statistical Methods, SQL, Jupyter Notebook, MySQL Workbench, MS Office: Word (Basic), Excel (Basic), PowerPoint (Basic).

A beginner level Data Scientist with knowledge in Python, SQL, R, Tableau, PowerBI, Pyspark, Machine Learning, Tensorflow, Google Vertex AI, MSOffice and AdobeXD.

A well performed undergraduate with several internship experiences and skills in SSIS, SSRS, SSAS, Power BI, Oracle, SQL, R Studio, Jersey and JAX-RS, Java, SQL, Python, JavaScript, C, C++, and R.

Statistical Data Analysis, Python, MySQL, Microsoft Power BI, Minitab, R Statistical Software

Python, SQL, Data Science, Machine Learning, Deep Learning, Artificial Intelligence, Computer Vision, Natural Language Processing, Data Analysis, Data Visualization, Data Wrangling, Deployment: AWS, Azure, Docker, Visual Studio Code, Jupyter Notebook/Lab, IDLE (Python 3.8 64-bit)

Language: Python, SQL | Platforms: Google Colab, MS-Office, GitHub, Tableau, PostgreSQL | Supervised Learning: Linear and Logistic regression, Decision Tree, SVM | Unsupervised Learning: K-Means Clustering, PCA | Data Visualization: Excel, CSV File etc.