Soundarya M
Actively looking for new opportunities | Senior Big Data Engineer with 8+ years of experience in | Big Data | SQL | AWS | Hadoop | Spark |Azure |ETL| Data Bricks| BI | Hive | Scala | Azure
- Role
- Senior Big Data Engineer at Silicon Valley Bank
- Location
- Seattle, WA, US
- LinkedIn followers
- 500 followers
About Soundarya M
8+ years of experience in data engineer and Analytics includingDeep Learning/Machine Learning, Data Mining and Statistical Analysis.Detailed knowledge of cloud computing architectural topics such as SaaS, PaaS, and IaaS.Experience in handling the whole data science project life cycle, including data gathering, data cleaning, engineering, feature scaling, feature engineering, statistical modeling (Decision Trees, Regression Models, Neural Networks, Support Vector Machine (SVM), Clustering), and more.Experienced with machine learning algorithm such as logistic regression, randomforest, XGBoost, KNN, SVM,neural networks, linear regression, lasso regression and k - means.Extensively worked on Python (NumPy, Pandas, Matplotlib, NLTK and Scikit - learn.Experience with numerous analytic tools, such as AnacondaJupiter Notebook (ggplot2, Caret, dplyr) and Excel, to implement data analysis.Experience in Big Data technologies like Spark, SparkSQL, pySpark, Hadoop, HDFS, HiveExperience in visualization tools like, Tableau for creating dashboards.Experience in implementing data analysis with various analytic tools, such as Anaconda 4.0 Jupiter Notebook4.X, R 3.0 (ggplot2, dplyr, Caret) and Excel.Worked with complex applications such as R,R Shiny, SAS, Plotly, ArcGIS, Matlab and SPSS to develop neuralnetwork, cluster analysis.Worked with complex applications such as R, MATLAB and SPSS to develop neural network, cluster analysis. Experience with Data Analytics, Data Reporting, Ad-hoc Reporting, Graphs, Scales, Pivot Tables and OLAPreporting.
Experience
Senior Big Data Engineer
Apr 2020 — Present · CA, US
Experience in integrating Spark-MemSql connector and JDBC connector to save the data processed in Spark to MemSql. Proficient in developing ETL applications on large volumes of data using different tools: MapReduce, Spark-Scala, Hive, PySpark, Azure Databricks,DataFactory Spark SQL, Azure HDInsight and Pig.
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