Data Quality Analyst Resume

SUMMARY:

Accomplished data wrangling tasks to transform and reshape layout of datasets to make data complete and tidier
Learned to use various data mining techniques to identify anomalies within datasets and extract meaningful insights
Provided informed marketing decisions from quantifying and visualizing Facebook’s users’ and diamonds datasets
Implemented statistical techniques to summarize Facebook’s user’s dataset and provided recommendations
Displayed solutions using R Markdown file which includes code, graphical charts, and analysis supporting investigations
Extracted and loaded health, US census population, and cars - mpg datasets from web into csv format
Applied python’s pandas package to cleanse and transform datasets, subset and manipulate data columns and rows
Performed various computations using the “numpy” package to interpret data through using summary statistics

TECHNICAL & LANGUAGE SKILLS:

WORK EXPERIENCE:

Data Quality Analyst

Confidential

Responsibilities:

Supported Confidential on a data quality project to provide systems continuity within Confidential division
Worked with Confidential officers to identify and perform root cause analysis on data entry errors frequently experienced by inspectors
Used SQL Server to manipulate data and apply database profiling techniques to detect data quality issues displayed in frontend
Performed data mining using R, and generated graphical reports to deliver statistical summary analysis in monthly catalog

Data Specialist (Intern)

Confidential

Responsibilities:

Supported Customer Success team to enhance internal donor management system through data import related operations
Transformed legacy data into a standardized format to ensure smooth import of customers’ data files into the Confidential ’s donor management system
Implemented data file mapping, transformation and loading processes for new donor management customers
Deployed data into test and production environments by using SQL and Confidential ’s internal data importing tools

Research Assistant

Confidential

Responsibilities:

Consolidated multiple tables from pension and tax return database to extract insights to support Confidential
Used python, Excel, and STATA to cleanse, transform, and manipulate data to make datasets complete and tidier
Implemented various algorithms to match data points within pension and tax return datasets
Wrote SQL queries to validate data, maintain data integrity for various tables, and check for anomalies
Examined confidential “5500 tax” documents from Confidential website to ensure data is accurate
Presented research and analysis to project manager and senior economists, provided data solutions and recommendations

Data Collection & Survey Design Intern

Confidential

Responsibilities:

Worked in a large group to measure and record door openings, checked door swings, and identified any obstructions
Collected data from surveying water coolers and door handles, and made adjustments to comply with American Disability Act
Integrated data to analyze business metrics using Excel, and provided optimal solutions on reducing material cost