Pranathi Pulimamidi

About Pranathi Pulimamidi

I am a seasoned data professional with over 6 years of expertise in designing, developing, and implementing data warehousing, analytics, BI reporting, and predictive modeling solutions. My skills encompass translating business requirements into analytical models, crafting algorithms, and building scalable data mining and reporting solutions for large datasets. I excel in data manipulation, modeling, and preparation, employing a wide array of techniques such as descriptive statistics, regex, and data reshaping. Proficient in R, Python, Tableau, and Power BI, I have created reports from HIPAA databases and implemented various machine learning algorithms, including Naive Bayes, Random Forests, and SVM.Furthermore, I possess extensive experience in Natural Language Processing, Text Analytics, and Sentiment Analysis, leveraging techniques like TF/IDF, Word2Vec, and more. My expertise extends to cloud data solutions like Azure SQL, HDInsight, Databricks, and Data Factory, and I have a deep understanding of machine learning math, neural networks, and regularization techniques. Proficient in writing and optimizing SQL queries, I am well-versed in RDBMS systems like SQL Server and MySQL. Additionally, I have a strong background in data visualization, using tools such as Tableau and Power BI, and a solid grasp of statistical methodologies for hypothesis testing and analysis.

Experience

1. Azure Data Engineer

   Elevance Health

   May 2022 — Present

Education

• University of Missouri-Kansas City

  Master of Science - MS, Computer Science