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Click here or scroll down to respond to this candidateCandidate's Name
BUSINESS DATA ANALYSTPHONE NUMBER AVAILABLE EMAIL AVAILABLE Overland Park, Kansas SUMMARYBusiness Data Analyst with 4+ years of experience in leveraging data analysis, machine learning, and data mining to extract insights from structured and unstructured datasets.Worked collaboratively with various business and technical stakeholders to identify and implement new and improved designs and process changes aligning with business strategies and priorities.Proficient in data visualization tools such as Power BI, Tableau, Python Matplotlib, and AWS QuickSight creating powerful and actionable interactive reports and dashboards.Expert in writing SQL Queries, Stored procedures, functions, and triggers using a relational database like MySQL and SQL Server.Played a key role in designing and structuring UAT and production functions and environments. Focused on formalizing, streamlining, and enhancing newly implemented processes and applications. EDUCATIONMaster of Science in Computer Science University of Central Missouri, Lees Summit, MO SKILLSMethodologies: SDLC, Agile/Scrum, WaterfallLanguages: Python, R, SQL, DAXHadoop ecosystem: MapReduce, Hive, Yarn, HDFS, Flink, Kafka, Druid, Sqoop, Flume, Oozie, HBase, Impala, SparkDatabase: Oracle, SQL Server, MySQL, PostgreSQL, MongoDBTools: Power BI, Tableau, Qlik, Alteryx, RStudio, SAS Visual Analytics, BigQuery, JiraCloud: AWS (AWS Glue, AWS Lambda, Amazon S3, Amazon Redshift, and Amazon EMR), Azure (Azure Data Factory, Azure Data Lake Storage, Azure Synapse Analytics, Azure Analytical Service, Databricks)Data Skills: Data Warehousing, Data Mining, ETL, Data Manipulation, Statistical Analysis, Data ModelingLibraries: NumPy, Pandas, SciPy, Scikit-Learn, Matplotlib, Seaborn, Plotly, ggplot2ML Models: Linear regression, Logistic Regression, Decision Tree, Random Forest, Gradient Boosting, SVM, KNN, K-meansBA Skills: Requirements Analysis, Stakeholder Management, Use Case, User Story Development, SWOT Analysis (Agile, Scrum)[WORK EXPERIENCECVS Health, MO Business Data Analyst Jan 2024 CurrentCreated comprehensive dashboards using QlikView, Looker, and SAS Visual Analytics to provide stakeholders with real-time insights into key performance indicators (KPIs).Developed serverless functions with AWS Lambda to process and transform data in real time, reducing data latency by 75%. This enabled faster business decision-making and improved overall operational efficiency.Established HBase table to store real-time user interactions, enabling sub-second response times for personalized recommendations. This resulted in a 20% increase in user engagement and 15% higher conversion rates.Actively participated in Scrum ceremonies (backlog refinement, sprint planning, daily stand-ups, code reviews, and retrospectives), contributing to a 20% increase in team productivity and 15% reduction in project timelines.Executed SQL queries to extract healthcare data efficiently, achieving a 20% improvement in extraction speed compared to previous methods. This enabled faster data analysis and reporting, supporting timely decision-making.Automated data cataloging and discovery processes with AWS Glue Crawler, improving data accessibility and reducing manual data preparation efforts by 40%.Kpit Technologies, India Business Data Analyst Jan 2019 Jun 2022Wrote and optimized complex SQL queries to extract and transform large datasets from relational databases (MySQL, PostgreSQL), retrieving 1 million records for analysis.Generated reports from Azure Boards to track progress against project goals, facilitating data-driven decision-making for stakeholders.Implemented data cleaning routines for large datasets using Python and SQL, working closely with data scientists and analysts to ensure data accuracy and reliability, leading to a 15% reduction in data cleaning time and allowing more time for advanced data analysis.Accomplished interactive Power BI reports leveraging advanced DAX and Power Query modeling techniques to unlock deeper data insights and facilitate informed decision-making.Orchestrated complex ETL/ELT workflows using Azure Data Factory, increasing data processing efficiency by 20% and accelerating report generation time by 15%.Established various Azure Data Factory pipelines to orchestrate complex ETL/ELT processes, reducing data processing time by 35% and increasing data ingestion volume by 20%.Managed the performance of the Snowflake platform, executing performance tuning strategies and optimizing SQL queries with the database administration team. This improved query performance by 50% and enhanced user experience by reducing query response times by 40%.Cooperated with stakeholders to develop and maintain data standards and naming conventions, working with the data governance team to ensure compliance with data management policies, improving data consistency, and facilitating effective data governance practices through a company-wide data catalog. |
