Mohammad Shah Sifat

Responsibilities: -> Designing dimensional warehouse architecture and building data warehouse on Snowflake. -> Data modelling with end-to-end BI solutions. -> Designing ELT & ETL pipelines on Azure Data Factory. -> Building CI/CD pipelines in Azure DevOps. -> Data analysis and evaluation scripts in Azure T-SQL. -> Data visualization in Power BI. Skills: Data Mesh · Microsoft PowerPoint · Azure Databricks · Snowflake · Azure Data Factory · Azure DevOps · Microsoft Power BI · SQL

Responsibilities: -> Web scrapping with Python using Selenium library to search for potential target companies and collecting necessary information. -> Data Cleaning and filtering with Python using Pandas and Numpy. -> Storing data into database and excel sheet after pre-processing. -> Developing a secure and industry-specific database. -> Process automation. -> Data visualization in Python using Matplotlib and Seaborn. Skills: Web Scraping · Python (Programming Language) · Microsoft Excel

Responsibilities: -> Implementing ETL processes. -> Evaluations and Data analysis with SQL. -> Prepared datasets by data cleaning (e.g. dealing with missing value, biased / imbalance / fraud Data) for accurate analysis. -> Demonstrated Cohort and ad-hoc data analysis with Python. -> Developed dashboards in PowerBI for stakeholders for decision-making.

Specializations: 1. Intelligent System Machine Learning, Data Visualization, Social Web Mining 2. Software Engineering Requirement Engineering, Software Quality Assurance, Software Architecture

Project: Full Functional e-Commerce website CGPA: 3.75 out of 4.00