Data Analyst Engineering

Negin Ebadi

Address: **** ******* ***** ***, **********, GA 30 319 Cell : 516-***-**** Email: adck88@r.postjobfree.com Summary:

Experienced Data Analytics/Data Science professional with over 5 years of experience in Data Wrangling, Machine Learning, and Data Visualization. Skilled in R, SQL dialects, Tableau, and Power BI. Strong business- minded analyst with a Master’s Degree in Industrial Engineering-Operations Research Technical Skills:

Database: Microsoft SQL, MySQL, Oracle PL/SQL, IBM DB2, PostgreSQL

Statistical Software/Packages: R, SPSS, Minitab, Alteryx, DataRobot

Data Visualization Tools: Tableau, Power BI, TIBCO Spotfire Work Experience:

United Parcel Services (UPS), Transportation Analytics and Operations Research Planning Services Senior Supervisor- NPT Demand Forecasting (July 2018- Present)

Designed and developed a dynamic distribution model to allocate volume to origin-destination pairs over 86 week time horizon based on historical data

Developed methodologies and processes to continuously track data quality, identify outliers and address any discrepancy in forecast output. Used Tableau dashboard to demonstrate results.

Developed interactive Power BI dashboards for Network Planning Tool (NPT) to present the accuracy of UPS small package demand plan to over a thousand NPT users

Reviewed and revised existing R codes to improve upon existing demand forecasting methodologies by adjusting the validation period

Played a key role in a cross functional project between Transportation Analytics, UPS Freight, and Georgia Institute of Technology to develop a decision support tool for managing UPS schedules

Designed and implemented series of advanced Microsoft SQL stored procedures to input real-time data for Dynamic Assignment Scheduling Heuristic (DASH) model

Bridged the gap and created alignment between business stakeholders (UPS Freight) and technical experts (Georgia Tech researchers) by communicating business needs, reviewing findings, providing feedback, adjusting solutions, and conducting learning sessions

Ran the schedule cut tool on a weekly basis during development phase, communicated results to central dispatch, calculated savings and presented outcomes to senior management Equifax, Department of Information Technology

Data Analyst/Report Developer (February 2016-May 2017)

Applied various data mining and machine learning techniques including regression and classification models to analyze consumer dispute trends and create consumer behavioral segmentations

Used TIBCO Spotfire to visualize predictive models’ analytical results and create custom dashboards and reports

Developed PL/SQL queries and stored procedures and functions to populate custom reporting tables and fed data into Crystal Reports

Designed various KPI reports and dashboards for several stakeholders within the organization using SAP Business Objects and Web Intelligence reporting tools

Worked on performance tuning aspects of SQL queries and stored procedures in order to reduce report generation times

Norfolk Southern, Operations Research Department, Atlanta, GA Operations Research Analyst Intern, (September 2015-January 2016)

Ran SQL queries in IBM DB2 database and performed different regression and non-regression tests to ensure the accuracy of results in Intermodal Equipment Management System (IEMS)

Used Microsoft Excel VBA Macros, Pivot Tables, Vlookups, Match/Index and other advanced functions to leverage raw data and create dashboards and reports

Developed a live interactive visualization dashboard in TIBCO Spotfire to monitor supply and demand forecasts, identify anomalies and suggest adjustments Academic Background:

University at Buffalo, The State University of New York Master of Science, Industrial Engineering /Operations Research, (August 2015)

Azad University Tehran-North Branch, Tehran, Iran Bachelor of Science, Industrial Engineering, (August 2012)

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