About

Omer Wajihuddin Syed is a highly skilled software engineer with a passion for mathematics, coding, and machine learning. With a total of 3 years of experience in both data science and software development, Omer has worked as a Software Engineer at Capital One for the past 15 months, gaining valuable exposure to the entire software development lifecycle. Currently, he is working as a Software Engineer at Microsoft. Omer's technical skills and competencies include programming languages such as Python, SQL, JavaScript, TypeScript, Angular, C++, Visual Studio, and Java, as well as data analysis tools like R/R Shiny, Python, Advanced Excel, Tableau, SQL, Statistics, and A/B Testing. He is also well-versed in machine learning techniques such as supervised and unsupervised learning, linear/logistic regression, decision trees, KNN, and deep learning. Omer is proficient in working with databases like MySQL, Apache Spark, Teradata, Hadoop, Apache Hive, Oracle, SAP Hana, Postgres, Snowflake, and AWS. Omer's past experience includes working as a Data Science Intern at Hallmark Cards, where he performed data analyses to derive insight, patterns, and correlations from Hallmark's data and other external data to inform revenue growth opportunities, identify cost avoidance opportunities, and shape strategy. He built and presented a self-service R Shiny Consumer Profiling Tool to the Director of Analytics, conducted comparative analysis of Mahogany Cards for Hallmark and its competitors, and used linear, SVM, and earth models to predict the sales of Hallmark stores using more than 50 variables. Omer holds a Master's degree in Business Analytics (Data Science) from The University of Texas at Dallas, where he gained extensive knowledge and skills in data science and related fields. Omer's passion for mathematics, coding, and machine learning, combined with his technical skills and experience, make him a valuable asset to any organization.