Mohammad Shah Sifat
Bis 2023, Data Engineer, VP Verbund Pflegehilfe GmbH
Kaiserslautern, Deutschland
Über mich
Hi, there! I am interested about analysing how to improve performance by domain driven data, by leveraging my data analytical skills, I am interested to provide end-to-end BI solutions for better corporate performance from raw data to decision making. With more than 3 years of experience in analyzing data, automating reports, building dashboards, data modeling, querying, I am passionate in working with dedication to turn raw data into insightful reports.
Werdegang
Berufserfahrung von 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
4 Monate, Aug. 2022 - Nov. 2022
Data Analyst
SponsorYou
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
3 Jahre und 6 Monate, Mai 2016 - Okt. 2019
Data Engineer & BI Analyst
Gazi Network
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.
Ausbildung von Mohammad Shah Sifat
Bis heute 4 Jahre und 7 Monate, seit Nov. 2019
Computer Science
Technical University of Kaiserslautern
Specializations: 1. Intelligent System Machine Learning, Data Visualization, Social Web Mining 2. Software Engineering Requirement Engineering, Software Quality Assurance, Software Architecture
5 Jahre und 4 Monate, Jan. 2012 - Apr. 2017
Computer Science
Northern University Bangladesh
Project: Full Functional e-Commerce website CGPA: 3.75 out of 4.00
Sprachen
Englisch
Fließend
Deutsch
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