Data Driven and Analytical, I bring 6+ yrs of experience as a Analytics Engineer and Business Intelligence Developer across IT Services, Retail, CPG, E-commerce, Automotive, EV and management consulting domains. I am recognized as a results oriented Engineer with a proven talent for gathering and interpreting large amounts of data to drive business actions and improvements. I am skilled in articulating data findings in clear and concise reports for both technical and non-technical audiences. I'm a master's graduate in Analytics from UC, expanding my knowledge and skills in Data Engineering, Business Intelligence, Data Analytics, Data Visualization and Machine Learning. I have the ability to understand data structures and extract information according to business needs. I am proficient in building models that translate data points into business insights. Skill set:- Languages: SQL,Python {numpy, pandas, matplotlib, seaborne, scikit-learn}, R {dplyr, ggplot2, lubricate}, pyspark Tools: Tableau, Power BI, Alteryx, Excel Advanced, Power Query, Tableau Prep, Apache airflow, git Databases: MS-SQL Server, Postgresql, Mysql Big Data Technologies: Hive, Spark, Hadoop, Apache Iceberg, Presto, Trino Cloud: AWS S3, Redshift, Athena, Glue, EMR, lambda, Sage maker, EC2. Machine Learning Models: Regression, Decision Trees, XGB Boost, K-Means, KNN, SVM, Time-series forecasting. Competencies: Dashboards, Data Management, Data Mining, Statistics, Machine Learning, NLP, Data pipelines, Data ingestion, Automation, Data Warehousing, Data Modelling. I am passionate about solving problems, meeting new people, sharing and gaining knowledge. You can reach out to me at: sureddry@mail.uc.edu