Python
Data science professional excelling in multiple aspects such as data engineering, data modelling and dashboarding . Also developed a balanced quiver of technical and soft skills, to familiarize and facilitate the client's needs.
Snowflake
Snowflake - Snow Pro Core
Python
SQL
Tableau
Machine learning (sklearn)
Deep learning (Tensor flow)
Alteryx Designer Advanced
AWS Solutions Architect Associate
Snowflake - Snow Pro Core
Alteryx Designer Core
OCCUPATIONAL
LEARNING
Project name - Amazon products review analysis
Team size: 4 members
Duration: 1 week
Description: Text analysis to report key findings.
Skills/Tools: Python (intermediate), NLP(intermediate), Jupyter Notebook, Google colab, Tableau.
Project Name: Insurance Charges prediction
Team size: Individual project
Description: Regression analysis through supervised machine learning to predict insurance charges.
Skills/Tools: Python (intermediate), Jupyter Notebook.
Project Name: Classification of churned out Bank customers.
Team size: Individual project
Description: Classification of bank customers churning out through supervised machine learning.
Skills/Tools: Python (intermediate), Jupyter Notebook.
Description: Regression analysis through supervised machine learning to predict insurance charges.
Skills/Tools: Python (intermediate), Jupyter Notebook.
OCCUPATIONAL
LEARNING
Project name - Amazon products review analysis
Team size: 4 members
Duration: 1 week
Description: Text analysis to report key findings.
Skills/Tools: Python (intermediate), NLP(intermediate), Jupyter Notebook, Google colab, Tableau.
Project Name: Insurance Charges prediction
Team size: Individual project
Description: Regression analysis through supervised machine learning to predict insurance charges.
Skills/Tools: Python (intermediate), Jupyter Notebook.
Project Name: Classification of churned out Bank customers.
Team size: Individual project
Description: Classification of bank customers churning out through supervised machine learning.
Skills/Tools: Python (intermediate), Jupyter Notebook.
Description: Regression analysis through supervised machine learning to predict insurance charges.
Skills/Tools: Python (intermediate), Jupyter Notebook.