Mubin Shaikh

As a professional with 2 years of experience in Machine learning, Deep learning, NLP, Python, Azure Synapse Analytics, Azure Data Factory (ADF), Azure Data Lake Storage (ADLS), and Azure SQL Database (SQL DB), I have developed strong development skills in these technologies. I am also a 4X Microsoft Certified Data Scientist and a 4X Databricks certified Data Engineer Associate, which demonstrates my expertise in these areas.
I have a proven track record of successfully implementing Azure Synapse Pipelines, Activities, Connections, and Datasets, and optimizing Synapse pipelines to meet time-bound objectives. I am experienced in ETL (Extraction, Transformation, and Loading) processes, extracting and manipulating large data sets using Azure Synapse. I am also proficient in writing SQL queries for efficient data manipulation and storage, and I have hands-on experience in database tools like Azure SQL Pool.
In addition, I have expertise in Python, Machine Learning, Deep Learning, Pandas, and basic knowledge of Power BI. I am skilled in data validations and feature engineering using Azure Databricks with PySpark and SQL. I am also knowledgeable in monitoring and tuning SQL Server performance.
I have project experience in modernizing data for an Electronics Test and Measurement Equipment Manufacturer using Azure Databricks and Power BI, real-time solar power forecasting with time series data and machine learning models, and analyzing and building ETL pipelines for data integration.
With my strong technical skills, industry certifications, and practical experience in data science and Azure technologies, I believe I would make a valuable contribution to the team as a Data Scientist. I am a team player with excellent communication skills and a strong ability to understand and analyze business requirements.

With 2 years of professional experience, I have developed strong skills in ETL (Extraction, Transformation, and Loading) using Azure Synapse Analytics, Azure SQL Database, and other Azure tools. I have successfully implemented various Azure Synapse Pipelines, Activities, Connections, and Datasets, optimizing pipelines to meet time-bound objectives. I am proficient in writing SQL queries for data manipulation and storage, and have hands-on experience in data validation and feature engineering using Azure Databricks, specifically PySpark and SQL.

In my previous roles, I have worked on diverse projects, including modernization of data for an electronics test and measurement equipment manufacturer, real-time solar power forecasting, and analyzing and building ETL pipelines. I have been responsible for transforming unstructured data into columnar formats for efficient processing and analysis, utilizing Azure Databricks for data visualization and dashboard creation, and working with real-time time series data and covariate datasets to build accurate prediction models. I am also familiar with Power BI and have basic knowledge of Python, machine learning, deep learning, and Pandas.

Apart from my technical expertise, I am a team player who can maintain a fun, casual, professional, and productive team atmosphere. I am skilled in collaborating with cross-functional teams, analyzing business requirements, and fixing bugs to ensure smooth data operations.

I had completed Master Degree in Statistics with expertise in Time Series, Machine learning, Statistical Modelling.