MOHAMMAD SAMEER

• Strategic Data Engineer with over 8 years of hands-on experience in utilizing a comprehensive suite of tools and programming languages to extract, transform, and analyze data across diverse industries including Healthcare, Cloud Computing, Media and Entertainment, Telecom, and Banking.

• Proficient in SQL and adept at working with various SQL servers including MySQL, PostgreSQL, SQL Server, and Oracle, leveraging advanced querying techniques to derive insights from complex relational databases.

• Graph Ontology and semantic modeling with GraphQL or SPARQL experience is a must.

• Advanced proficiency in Python for data preprocessing, statistical analysis, and predictive modeling, utilizing libraries such as Pandas, NumPy, and SciPy to manipulate and analyze data efficiently.

• Strong command of R programming language and R Studio for statistical analysis, data visualization, and machine learning, employing packages like ggplot2, dplyr, and caret to explore and interpret data effectively.

• Experience in utilizing SPSS for advanced statistical analysis, hypothesis testing, and predictive modeling, providing deeper insights into complex datasets.

• Expertise in data visualization tools including Tableau and Power BI for creating dynamic dashboards and visualizations that drive data-driven decision-making and storytelling.

• Proven track record of leveraging varied SQL servers and cloud platforms such as AWS, Azure, and Google Cloud Platform, to seamlessly integrate and analyze diverse data sources.

• Proficiency in web scraping using libraries like BeautifulSoup and Scrapy to extract structured data from web pages, expanding the scope of data analysis to include unstructured data sources.

• Knowledgeable in machine learning algorithms and techniques for predictive modeling, classification, and clustering, utilizing libraries such as scikit-learn, TensorFlow, and Keras to build and deploy machine learning models.

• Experienced in data wrangling techniques including data cleansing, transformation, and feature engineering, ensuring data quality and integrity for accurate analysis and interpretation.