About Me

In my past experience, I worked as a Senior Big Data Engineer at a technology consulting firm for 10 years, including 3.5 years working onsite with my client headquartered at Chicago, Illinois. During this stint, I have designed, led and implemented Business Intelligence Solutions in building an enterprise data warehouse to facilitate insightful generation, retrieval and visualization of data. I have applied a wide range of Data Integration/ visualization tools on relational databases and distributed file systems that has inculcated a flexible mindset in me towards new tools and technologies. During my graduate program, I was involved in a Capstone project to provide Machine learning solutions to a leading furniture and interior space solutions company. My other interests include painting, paper quilling and singing Indian classical music.

Education

• Georgia Institute of Technology (2021)
  MS. Analytics (Specialization: Computational Data Analytics)
• Anna University (2006 - 2010)
  B.E. Electronics & Communication Engineering

Experience

• Cognizant Technology Solutions (2010 - 2020)
  Senior Big Data Engineer

Academic Roles

• Graduate Teaching Assistant (May 2021 - Present)
  Georgia Institute of Technology

Skills

• Machine Learning Libraries: scikit-learn, numpy, pandas, TensorFlow, PyTorch, opencv, Random Forest, XGBoost, SVM, KNN, Naïve Bayes, Logistic / Linear Regression
• Statistics: Data analysis, data cleansing, feature engineering, forecasting, descriptive and inferential statistical analysis
• Programming: Python, R, PySpark
• Database: SQL, PL/SQL, T-SQL, Sybase
• Web Programming: HTML, D3.js
• Big Data: Apache Spark, Hadoop, Kafka, Hive, Sqoop, Data Modeling
• ETL / Business Intelligence: IBM DataStage, Pentaho Data Integration, Microstratgey, SQL Server Reporting Services, Tableau
• Product Management Framework / Tools: Agile/Scrum, Waterfall, Version One, Jira
• Other: Unix, Shell Scripting, Git, Subversion
• Cloud: Snowflake, AWS