Arun B Email & Phone Number

United States

Hyderabad, Telangana, India

• Extensively used SAS and SQL for extraction, transformation and loading of data from Large Scale RDBMS like Oracle and DB2.• Conducted data manipulation using merging, appending, concatenating and sorting datasets in SAS.• Created several applications for the purpose of Statistical Modeling and Data mining using SAS/Base, SAS/SQL, SAS/Stat, SAS/Graph and also automated applications using SAS/Macros.• Involved in administration of data warehouse using Warehouse Administrator functionality of SAS• Design and development of different data models according to user specifications in the development of databases for small applications.• Researched and studied Customer spending habits spanning several merchant categories and identified and formed a baseline for launching several merchant centric marketing campaigns and incentives and also resulted in the creating of Merchant Dashboard used by Product executives on a monthly basis.• Created and implemented detailed Staffing Model for Security Solutions Business to evaluate and optimize internal and subcontractor staffing requirements based on the observed and forecasted backlogs, pipeline and historical demand analysis using time series forecasting, and optimization models.• Operationalized and automated end to end staffing tool on the AWS cloud using R & Tableau in conjunction with the cloud architecture team to communicate model outputs and insights with business partners.• Developed and implemented end to end analytics and machine learning pipeline for the Cloud compute and architecture organization within Disney’s Technology Solution and Services.• Ensure that the team follows Agile principles and practices.• Organize and facilitate all Scrum events, including daily stand-ups, sprint planning, sprint reviews, and retrospectives.• Performed several Banking Center level performance analysis aimed at streamlining and optimizing the sales process and monitoring sales of certain high value checking products.

Hyderabad, Telangana, India

Collaborated with the Engineer team to design and maintain MySQL databases for storing and retrieving customer review dataEmployed SQL to build ETL Pipelines that filter, aggerate and join various tables to retrieve the desired data from MySQL databasesIngested data, explored, cleaned and integrated data from MySQL and MongoDB databases on AWS EC2 using Python and Hadoop to perform initial investigation, discover patterns, and check assumptionsProvided BI Analysis for the marketing team to review impact on key metrics in relation to the projectUsed R to query the data, run statistical analysis and create reports or dashboardsPrepared project progress reports and status reports and submitted to the management team on an ongoing basisBuilt compelling visualizations and dashboards using Tableau to deliver actionable insightsEmployed feature engineering pipelines with Python to do normalization and scaling for numerical features, and tokenizing for categorial features, implemented PCA to reduce the dimensionsContributed in building Machine Learning models with scikit-learn library in Python, like Logistic Regression model, SVMs model, Random Forest model, and Naive Bayes model.

Hyderabad, Telangana, India

• Developed machine learning models (classification, regression, clustering) using Python for Building predictive models for tasks like customer segmentation and demand forecasting.• Writing Python scripts ( Numpy, Pandas) to automate data workflows and analysis tasks for extraction, transformation to reduce manual efforts, improve operational efficiency, and enable real-time data-driven decision-making.• Integrated SAP data for unified business insights and reporting to Streamline business processes.• Stay updated with SQL, machine learning (Scikit-Learn), scripting languages, and SAP ERP technologies to apply latest tools and techniques to optimize data analysis and project outcomes for evolving business needs for sustained organizational growth.• Extracted Sales and distribution transaction data from SAP ERP using SQL queries to gather information on sales orders, invoices, and customer data.• Used Python scripts to automate data extraction and integration from AWS S3 buckets and Azure Blob Storage, ensuring data consistency and reliability.• Perform exploratory data analysis (EDA) to understand trends, customer behavior, and product performance. • Clean and preprocessed data using Pandas for consistency.• Conduct statistical analysis such as regression models & time series analysis to forecast sales trends and identify seasonal patterns.• Stay updated with the latest trends and best practices in data visualization (Matplotlib), analysis using Python, and business intelligence tools.• Deploy and manage machine learning pipelines to automate model training and evaluation, integrating predictive analytics into the Sales dashboard.Collaborated with cross-functional teams to define data quality requirements and provide analytical support for business initiatives.• Presented findings and actionable recommendations to senior management to support strategic decision-making.

Masters Degree, Business Analytics, 3.8

Master Of Business Administration - Mba, Accounting And Finance