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Data Engineer / Tableau Developer Resume

TECHNICAL SKILLS

Software: Tableau, Alteryx, Python, SQL, R Studio, SAP Hana, SAS, SQL (Oracle + MS Server), Power BI, MongoDB, AWS suite products & Cloud Services.

Skills: Data Visualization, Statistical Analysis, SQL Database Querying, Database Analysis, Predictive Analytics, Machine Learning modelling, ETL procedures, data pipeline creation and automation.

PROFESSIONAL EXPERIENCE

Confidential

Data Engineer / Tableau Developer

Responsibilities:

  • Custom visualizations and Tableau dashboards for improved decision making.
  • Aligning inter - departmental database systems (MS SQL Server, Oracle, Mongo DB, Amazon S3, etc.)
  • ETL and feature engineering (Alteryx, Python, Excel) to create ad-hoc reports for business support.
  • IT product innovation to improve inter-department functionality and performance.
  • Automation of data pipelines to feed dashboards and scheduled reporting.

Confidential

Data Engineer

Responsibilities:

  • Complete quantitative and qualitative breakdown of customer profile to optimize marketing campaign.
  • Customer profile classification done in R by running multiple models (KNN, SVM, Naïve Bayes, K-means, Decision Tree, Logistic Regression etc.)
  • Web scraping and data mining of website and competitor customer reviews for sentiment analysis using Python (NLTK, Vader, Text Blob, etc.)
  • Appointed project leader by Department Head.

Confidential

Data Engineer

Responsibilities:

  • Analyzed the goals, processes, KPIs and benchmarks of the J&J make process.
  • Live locator and tracker of supply chain. Automated updates when materials running low and need restocking.
  • Designed visual dashboard in Tableau using data extracted from MES Oi. 153 KPIs visually transcribed.
  • Total Downtime Calculator for equipment added to existing database.
  • Easy lookup feature for floor manager to track individual materials and products as needed for specific requests.

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