● Around 2+ years professional experience on statistical analysis, data modeling, data mining (Logistic / Linear Regression model, Decision Tree) by SAS, data engineering using R, Nifi and Python● Experienced in retrieving various data from difference Data servers and validating, manipulating data using SAS/Base, SAS/SQL, Macro facility and Excel. Excellent analytical, problem solving and SQL debugging skills. ● Hands-on experience on Regression, ANOVA, Clustering, Support Vector Machine, Naive Bayes, Random Forest, Association, Decision Tree, and hypothesis ● Acquainted with python packages such as NumPy, Matplotlib, Pandas, and Scikit-learn.● Data Engineer with demonstrated ability in designing and building scalable Data Pipelines to solve complex business problems involving large scale data warehousing, real-data analytics, and reporting solutions. ● Superior skill in Advanced Excel on conditional formatting, count, data validation, index, match, sum, pivot table, vlookup, and data table ● Proficient knowledge in R and Python programming, Exploratory Data Analysis, Structured Machine Learning algorithms and Power BI Visualization● Good knowledge in statistics, mathematics, and analytics with excellent understanding of business operations for effective analyses of data.● Experienced in migrating data and databases from on-prem infrastructure to the AWS data lake. Raw data transferred to S3 Bucket and processed by Lambda functions and then stored in RDS Postgres DB ● Excellent in Ingestion of Large Datasets using Python, writing Python codes to automate the interaction and downloading of data as per the data frequency from RESTful API, Amazon S3, FTP servers or any client-side application which act as a data source. ● Skilled in design and development of various dashboards, reports utilizing Tableau and Power BI Visualizations like bar graphs, scatter plots, pie-charts, geographic visualization.● Experienced in using analytical techniques on large data sets for delivering ad hoc analysis and development of business intelligence. ● Experienced in developing, maintaining, and processing large databases with complex relationships between tables. ● Better knowledge of Redshift Python, SPARK, and JSON, and ETL● Actively participate in optimization and performance tuning of data ingestion and SQL processes● Good understanding of database concepts, modeling, knowledge of SQL, MySQL, Oracle ● Extract, transform, and load logic to automate data collection and manage data● Worked in an Agile environment..
