Suhas Vaitla

Data Scientist Python R Analytics SAS
  • Keene, NH
  • August 20, 2019
  • 7 years of extensive professional experience in building advanced analytical solutions using Data science/Business Analytics/Intelligence
  • Graduate from Indian School of Business-Hyderabad, 1-year Business Analytics program, Feb 2017
  • SAS E Miner Certification from SAS institute
  • MBA in Finance and supply chain management
  • Six Sigma Black Belt from IQF
  • Worked with different ML tools like Alteryx, SAS E Miner, Azure ML and Azure Data Bricks.
  • Expertise building custom modeling solutions around - Forecasting, Segmentation, propensity models, predictive and prescriptive analytics.
  • Worked with business stakeholders, customers & top management to layout business goals, roadmap and identify key business process supporting the goals and challenges around them
  • Expertise in using calculated fields from tableau and DAX function in PowerBi
  • Expertise in designing and presenting solutions and findings by visualizations and story boards using Tableau / Power BI.
  • Proficient in Machine Learning techniques (Decision Trees, Linear, Logistics, Random Forest,

SVM, Bayesian, XG Boost, K-Nearest Neighbors) and Statistical Modeling in Forecasting/

Predictive Analytics, Segmentation methodologies, Regression based models, Hypothesis testing, PCA, Ensembles.

  • Experience of working in Hadoop Ecosystem and Big Data tools such as Pig, Hive &Spark.
  • Proficient in R and its libraries such RMySQLRPostgresSQLRSQLite, dplyr, tidyr , stringr, car, mgcv, lme4/nlme, caret.
  • Proficient in Python and its libraries such as numpy, Pandas, Scikit –Learn, tensor flow, Matplotlib and seaborn.
  • Diverse work experience in working with statistical software (SAS, R), Scripting (SQL), ETL tools (SAS Data Integrator, SAS Enterprise Guide, Alteryx)
  • Experience Of data Movement from Local SQL Server to Azure SQL Server using Azure Data Factory and data lake storage.
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E-mail
datascience.arc@gmail.com
Phone Number
6143354163

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