SUMMARY

• Over 5 years of experience as a Business Data Analyst
• Designing with Conceptual, Logical, and Physical Modeling
• Experience in analyzing, manipulating large sets of data and presenting to internal/external clients.
• Expertise in Business Intelligence Tools with use of ETL tools such as SSIS and DTS, Data Integration, Data Profiling, Data Cleansing, and Data Integrity.
• Interacting with stakeholders, gathering requirements and assigning priorities to each task.
• Experience in creating reports from raw data to readable format for higher management, internal and external clients.
• Expertise in querying data using Python, R, Tableau, Power BI, SQL and MySQL for data cleaning, data visualization, risk analysis, predictive, and prescriptive analytics
• Excellent facilitation skills and adept at managing the interactions between end - users and management.
• Experience in reusable transformation (joiner, sorter, aggregator, expression, look up, router, filter, update, strategy, sequence generator, normalizer, and rank) to move data from multiple sources to target.
• Experience in De-duping, cleaning and address correction for improving data quality.
• Over 10 years of Healthcare experience
• Aided in research to produce for a textbook of pathology where through applied research and analytics, insight was received on how to boost efficiency and ultimately experience growth
• Management initiatives and projects to provide alternative approaches for improved communication, automation and turn around time
• Built reports and compiled metrics with company data and converted it to presentable information with Excel for identifying relationships and making data driven decisions.
• Ability to be an effective team player to work in conjunction with other team members.
• Excellent documentation, communication, interpersonal and customer service skills.
• Exceptional problem solving and sound decision making capabilities.
• Ability to multi-task independently with minimal supervision in a fast pace environment.
• Proficient in Microsoft Application: Word, Excel (Pivot Tables, V-Lookup, Graphs), PowerPoint, Access, Outlook, and Teams.

TECHNICAL SKILLS

Soft Skills: Report Writing, Teamwork, Critical Thinking, Communication, Networking, DevOps, Agile

Programming Languages: Python, SQL, R, ETL, RDBMS MySQL, PostgreSQL, DB2

Data Visualization Tools: Cognos, Analytics, Power BI, MS Excel, Tableau, Asana

Other Tools: Microsoft Office (PowerPoint, Word, Outlook, Teams), Apache Airflow, Java, Workspace

AWS Tools: AWS Cloud, Amazon DynamoDB, Cloud Storage, Cloud Computing Architecture and Security

PROFESSIONAL EXPERIENCE

Confidential

Data Analyst

Responsibilities:

• Responsible for eliciting, understanding, interpreting, and representing business requirements and act as the conduit between the customer and technical teams to ensure requirements are understood.
• Provide subject matter expertise on the use of data as well as educate teams on business model, metadata, and standards.
• Responsible for understanding source systems and its data models.
• Develop source to target mappings for data lineage.
• Document source architecture to include data flows.
• Responsible for analyzing data to validate business domains and requirements.
• Responsible for data profiling and ensuring data quality requirements are accurate and complete.
• Act in an advisory capacity in data model reviews, architecture approach and solution design to ensure high quality deliverables.
• Responsible for partnering with management and business units on innovative ways to successfully utilize data and related tools to advance business objectives.
• Works with governance council to establish data governance standards and guidelines.
• Assist with business data lake testing / experimentation
• Assist with coordinating data dictionary completions
• Mentor Project DA resources

Environment: MySql, Power BI, MongoDB, Podio, Data Synchronization Studio

Confidential, Tallahassee, Florida

HRIS (Human Resource Information Systems) Analyst

Responsibilities:

• Propose new quantitative analysis on various projects on customer retention analysis, promotion program evolution and anomaly detection, corporate with client managers and prepare the slides.
• Research and test statistical models and machine learning to analyze and predict customers behaviors and visualize the final results, implemented in R code.
• Connected to SQL databases such as internal CRM or ERP systems, loaded data from Excel or log files, scraped data from web, or extended data from a variety of other different sources, as and when required.
• Performed data cleaning, exploration implementing R and Python.
• Reporting designs based on business specific problems and implementation on Tableau.
• Profiling based on content access reports, event trigger reports and navigation reports using R. Profiles are then used for target marketing and segmentation.
• Custom website strategy for segments.
• Performed data visualization implementing ggplot2 package in R.

Environment: R, Tableau, SQL, R Studio (ggplot2)

Confidential, Tallahassee, Florida

Healthcare Data Analyst

Responsibilities:

• Utilized machine learning techniques for predictions and forecasting based on the sales data.
• Executed overall data aggregation/alignment and process improvement reporting within the sales department,
• Managed data quality and integrity using skills in Data Warehousing, Databases & ETL.
• Monitored and maintained high levels of data analytic quality, accuracy, and process consistency.
• Assisted sales management in data modeling.
• Designed and developed the visualizations on Tableau including publishing reports and managing data sources on Tableau Server for business and sales insight.
• Developed R scripts to automate data sampling process. Ensured the data integrity by checking for duplication, completeness, accuracy and validity.
• Designing automated dashboards and data visualization to extract relevant and targeting market insights. Data classification using Python.
• Application of various machine learning algorithms and statistical modeling - decision tree, logistic regression to identify key features using various packages in R.
• Retrieved and analyzed data by writing complex ad-hoc SQL queries across large scale dataset. Managed data migration over different platforms.
• Structured business problems and gathered/documented business requirements for developing analytical solutions. Communicated analysis results with senior managers.
• Created a forecasting model for sales prediction and performed statistical analysis to deliver actionable insights to the Sales team.
• Performed tests on import programs, analyzed results, and modified programs.
• Developed visualization reports on Tableau to correlate site serving areas and standard issues to analyze network availability.

Environment: SQL, R, Python, MS office, MS Excel, Tableau, Linear Regression

Confidential

Histotechnologist

Responsibilities:

• Streamlined operations to improve efficiencies; identified changes to processes and procedures in collaboration with colleagues to identify gaps in performance and troubleshoot resolutions with rapid and lasting positive impacts.
• Managed and updated clients; records within the IntelliPath database for seamless workflow between dermatologists and pathologist
• Tracked and Monitored data within the company platform while building reports within excel