VokeOjuederhie

adh314@r.postjobfree.com 929-***-**** Bronx, New York. 10458

Skills

Tools: Python, SQL, Tableau, R, Tableau, Excel., A/B Testing, Statistics, Machine Learning, Analytics Core Skills: Collboration, Problem Solving, Hypothesis Testing, Data visualization, Regression Analysis Experience

Gap Inc. New York, NY

DATA SCIENTIST Dec. 2018 – May 2020

• Utilized python, excel and SQL to analyze datasets and build predictive models that helped the company make optimal business and financial decisions.

• Assisted in building, testing and spearheading the launch of the company’s proprietary pricing software in New York City. Leveraged the software to pull data to design demand forecasts in terms of the influence of promos and markdowns on customer purchase behavior. Optimizing the software to help the company realize gross margin target and sell through the inventory.

• I managed teams and worked with cross functional teams to leverage analytics into initiatives that drives revenue growth

• Utilized python to conduct data regression analyses of the relationship between industrytrendsandcompanystockprices,achieving a 17% more accurate prediction of performance compared to the previous years. Utilized PowerBI and tableau to visualize seasonal plans in comparison to realized revenues for different promotional events

• Used predictive analytics such as machine learning and data mining techniques to forecast company sales of new products with a 90% accuracy rate. Also used machine learning to develop merchandizing and price formation strategies

• Consistently educating users on how to use proprietary softwares and best practices to adopt for optimal outcomes Ace Dynamics Inc. Boston, MA

DATA ANALYST Jun. 2016 – May 2018

• Routinely analyzed datasets to determine the satisfaction level of each staff based on certain parameters including monthly income, hourly rate, total working years and attrition level.

• Collected, cleansed and provided modeling and analyses of structured and unstructured data used for major business initiatives which resulted in a 13% reduction in transportation cost and a significant annual savings

• Used advanced Microsoft Excel to create pivot tables, used VLOOKUP, power pivot and other Excel functions for a myriad of statistical analysis

• Routinely wrote SQL scripts to manipulate data loads and extracts. Also used SQL to perform analysis on large databases. Designed visually impactful dashboards in Excel and Tableau for data reporting and retrieval Pear Technologies Lagos, Nigeria

DATA - RESEARCH ANALYST Aug. 2013 – May 2016

• Routinely interpretedandcreatedinferencesbasedonmineddata,translatingtheseinferencesintokeyinsightsthatdrovemanagerial and strategic actions.

• Performed hypothesis testing on mined data to integrate them into the company’s decision making processes.

• Used multiple queries to review data and classify tables, and measure functions.

• Utilized queryanalyzer to write and execute SQL queries which helped to provide custom reports for the marketing and sales depart- ment.

• Worked directly with customers, teammembersandsuperiorstodetermineprojectscopeandspecifications.Provided research and analysis to support stakeholders.

• Used advanced Microsoft Excel to create pivot tables, used VLOOKUP, power pivot and other Excel functions for a myriad of statistical analysis.

Education

Hult International Business School Boston, MA

MASTERS OF FINANCE IN FINANCIAL ENGINEERING Aug 2017 – Apr 2018 GPA: Distinction

Benson Idahosa University Edo State, Nigeria

BACHELOR OF SCIENCE IN PHYSICS AND APPLIED MATHEMATICS Aug. 2009 – Jul. 2013 GPA: 4.98 out of 5.0 - Valedictorian

Massachusetts Institute of Technology Boston, MA

MACHINE LEARNING undefined

Projects

Mail Classifier Python

DESIGNED A MACHINE LEARNING METHOD TO CLASSIFY INCOMING MAILS. Location Optimization Python, Tableau, SQL

CREATED A MACHINE LEARNING ALGORITHM THAT PREDICTS SALE AND DEMAND POTENTIAL BASED ON LOCATION. I USED NEW YORK AS MY SAMPLE LOCATION AND USED COACH AS MY SAMPLE RETAIL COMPANY. Credit Card Fraud Detection R, Python

DESIGNED SEVERAL ALGORITHMS, ONE OF WHICH IS THE GRADIENT BOOSTING CLASSIFIER TO ANALYZE A DATASET THAT COMPRISED OF FRAUDULENT AND NON-FRAUDULENT TRANSACTIONS. THE GOAL WAS TO DETECT CREDIT-CARD FRAUDULENT TRANSACTIONS.

Emotion Recognition Python

DESIGNED A PROJECT TO RECOGNIZE EMOTION FLUCTUATIONS BASED ON A PERSON’S SPEECH. UTILIZED PYTHON’S AUDIO AND MUSIC PROCESSING MODULE CALLED LIBROSA

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