As a data science freelancer, I offer specialized services as both a data engineer and data analyst.

As a data engineer, I design and implement data pipelines to move data from different sources into data warehouses or other storage systems, create and manage data models, develop and maintain data infrastructure and systems, implement security measures, and automate data processing tasks. My expertise includes databases, SQL, big data technologies, cloud computing, and data warehousing.

As a data analyst, I analyze and interpret data to identify patterns, trends, and insights, create and maintain dashboards and reports, develop and apply statistical models, clean and prepare data for analysis, conduct A/B testing and experiments, and provide recommendations based on data analysis to improve business performance. My expertise includes statistical analysis, data visualization, and data modeling techniques, as well as various tools and technologies such as spreadsheets, statistical software, and programming languages.

By combining both skill sets, I am able to offer a comprehensive approach to data science freelancing that covers the entire data pipeline, from data collection and storage to analysis and insights. Whether you need help with building and maintaining your data infrastructure, analyzing and interpreting data to make data-driven decisions, or both, I am here to help.

Tools & Technologies - 

Programming & Scripting Language-  Python, SQL 

Python Libraries - pyspark, pandas, numpy, matplotlib, Azure, BeautifulSoup 

Big Data - Spark, Hadoop

Data Warehouse - Azure Synapse Analytics, BigQuery, Deltalake

Databases - Sql Server, Sql Workbench, Oracle, My SQL

Cloud Platform - Azure, AWS

Visualisation-  Power BI, Tableau, Excel, Google Data Studio , Quick Sight

Tools - Databricks, Jupyter , Atom , Visual Studio Code, Github, Bitbucket, Azure git