Venkat Hebbar

About Me

With over 13 years of experience, I possess a wealth of expertise in Data Science, Python, SQL, and Machine Learning. In particular, I have 6+ years of experience in these areas,  and am skilled at collecting, analyzing, and processing large datasets to improve efficiency and accuracy through the use of data regression models. My proficiency in building statistical models using Python and SQL has enabled me to optimize legal spending by 10.85%.

  • I have a wealth of industry experience, including 5+ years of expertise using Python, PySpark, Scikit-learn, Power BI, and Tableau for data management, analysis, model development, and reporting on platforms such as Jupyter and Windows. My experience spans across various sectors, including Retail, Healthcare, and Legal Spend.
  • My ability to extract insights from data, apply statistics, and create predictive models, as well as my constant effort to stay updated on new problem-solving techniques through Machine Learning and Big Data solutions such as Hive and Hadoop are my strengths.
  • I have experience in applying various regression techniques, such as Logistic, Linear, Clustering, and Time Series, as well as Machine Learning techniques such as SVM, KNN, and Random Forest.
  • I am well-versed in databases like Oracle, MySQL, and MS SQL Server and have experience deploying models using AWS SageMaker.