Sai Sandeep Bejjanki

Business data analyst with 5 years of experience in the creation of functional requirements, process flow analysis, and design, conducting functional and regression testing, coordinating user acceptance testing, content management analysis, detailed data analysis and proof of concept coordination. Experience in data analysis, data visualization using Tableau/ Microsoft Power BI, model building with Machine learning algorithms for prediction and forecasting using data (historical or time series with regression techniques), using statistical / econometric tools like SAS and R, data mining using Python, SQL, Hadoop, Spark and Hive. Strong experience in Business and Data Governance, Data Integration, MDM, NoSQL and Metadata Management Services and Configuration Management. Expertise and vast knowledge in Enterprise Data Warehousing including Data Modeling, Data Architecture, Data Integration (ETL/ELT) and Business Intelligence. Develop and implement data governance policies, procedures, and standards to ensure data quality, integrity, and security. Establish and maintain a data governance framework, including data classification, data ownership, and data stewardship. Experience performing multi-function management and business analysis for various projects. Lead data analytics projects from requirement stage, scope analysis, developing models, deployment and support. Developed automated scripts to do the migration using UNIX Shell scripting, Python, Oracle, T-SQL, Macros and Procedures. Expertise in transforming business requirements into analytical models, design algorithms, develop reporting solutions that scale across massive volumes of structured and unstructured data. Experience interpreting and analyzing large data sets for driving business solutions, building and evaluating analytical models, examining a range of disparate data sources, performing statistical analysis, creating reports/dashboards/graphs/storytelling to provide actionable insight for decision making. Skilled in Statistical analysis, Qualitative analysis, predictive modelling and forecasting, hypothesis testing, data mining, data cleaning, data quality assessment data integration and validation, data modeling, ETL and data visualization. Develop and deliver data governance training programs to educate employees on data governance principles and best practices. Monitor and enforce compliance with data governance policies and procedures. Proficient in MySQL (RDBMS, SQL Server, PL/SQL), Python (NumPy, pandas, scikit-learn), R programming (ddply, ggplot2, random forest), SAS EG, SAS/ BASE Core Java, Web scrapping, A/B Testing, Google analytics, Web analytics, marketing analytics. Highly proficient in writing, testing and implementing triggers, stored procedures, functions, packages and cursors using PL/SQL. Developed Python scripts to parse the Flat Files, CSV, XML, JSON Files and extract the data from various sources and load the data into the data warehouse. Experience in designing Business Intelligence Solutions with Microsoft SQL Server and using MS SQL Server Integration Services (SSIS), MS SQL Server Reporting Services (SSRS), SQL Server Analysis Services (SSAS). Expertise in Advanced MS-Excel, PowerPoint, spreadsheets (Pivot tables, Pivot Charts, Macros, VLOOKUP), Jupyter Notebook, Version Control Software (GitHub, Jira). Expertise in Master Data Management concepts, Methodologies and ability to apply this knowledge in building master Worked with AWS Cloud platform and its features which includes EC2, VPC, RDS, EBS, S3, CloudWatch, Cloud Trail, Cloud Formation and Autoscaling. Involved in System Integration Testing, (SIT), Regression Testing, Performance Testing and User Acceptance Testing (UAT).