Big Data enthusiast with 4+ years of experience in Data Engineering, Predictive Modeling, Data Analysis, and Database Management. Proven expertise in framing, analyzing, finding insights, and recommending data-driven strategies to solve business problems. Flexible to learn and work on various tools/technologies to cut costs, increase revenue, and improve efficiency.
Data Analytics: SAS Enterprise Miner, Base SAS 94, Python, Advanced Excel, SQL, Scala, Hive,Sqoop
Machine Learning Algorithms: Linear Regression, Logistic Regression, Decision Tree, Random Forest, Naive Bayes,
K-means Clustering, LDA, NLP
Databases: SQL Server, Oracle, Postgres, Mysql, Cassandra, Teradata
BI Tools: QlikView, Power BI, Tableau
ETL Process: Visual Studio(SSIS)
Knowledge Areas: Data Warehouse Design