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Data Analyst

Location:
San Jose, CA
Salary:
$136000
Posted:
November 04, 2019

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Resume:

Ann Adhiambo Nyaboe

San Jose, CA *****

adarc8@r.postjobfree.com, adarc8@r.postjobfree.com

LinkedIn: ann-a-nyaboe-6630a953

OBJECTIVES

Seeking Data Science, Data Analytics, Statistician/Statistical Programmer, Biostatistician opportunities.

SUMMARY

MS Statistics student at California State University East Bay, expected graduation, 05/2019

Experience in investment banking, insurance and research industries

Broad background in Statistical Programming and Data Visualisation: SAS, R, Tableau, Minitab, Qualtrics, SQL as well as Python.

TECHNICAL SKILLS

●Tableau, R, Markdown, SAS & Minitab, Excel (VLOOKUP, COUNTIF), Word, PowerPoint, OneDrive, Google Sheets

●Qualtrics

●SQL, Map/Reduce procedures using Hadoop, H20 R Package/APL

●Machine Learning:

Supervised (K-NN, Decision Trees, Random Forests, Regression, Naïve Bayes)

Unsupervised Learning (Linear Regression, K-Means, Clustering, Classification)

PROFESSIONAL EXPERIENCE

Walmart eCommerce - San Bruno, CA

Junior Analyst, Ethics & Compliance 05/2019 - Present

●Online inventory validations, blocking, restricting and approval

●Human Resource / Employee Data Migration

●Review and create Compliance Reports for Stores

●Consolidate the weekly KPIs

●Customer Sentiment Analysis

●Consolidate weekly Financial Year (FYE) Customer Feedback data reports

●Review & audit new items and already in stock items on the online platform

●Create dashboards using tableau for SLA’s & market trend visualisation report.

●Provide Substitution Recommendations for Online Grocery Items

Dominican Sisters of Mission San Jose – Fremont, CA

Assistant Medical Data Analyst 09/2018 - 05/2019

●Pull and integrate data for clinical records

●Analyze data patterns and trends

●Create and validate data

●Prepare reports and summaries based on the analyzed data

●Schedule medical appointments

●Create a scheduling model in Google Doc sheets, that picks up the data from a different source, and user friendly.

Challenge Success - Stanford University - Stanford, CA

Data Technician 04/2018 – 06/2018

●Mapping survey data from Excel into Qualtrics

●Checking, recording & modifying values against the original survey

●Creating dashboards and personalizing them to individual clients

●Creating graphs and tables

●Calculate the five number summaries of the variables in Excel

●Analyze data patterns and trends

●Prepare reports and summaries based on the analyzed data

Investment & Mortgage Bank Ltd – Nairobi, Kenya

Banc Assurance Officer 03/2015 – 11/2015

●Oversee the operational aspects of the branch, such as underwriting, claims, finance, using the actuarial tools and models

●Collection of premiums and remittance

●Update of branch sales figures daily

●Carry out market research, customer data mining and segmentation, which in turn help in development of customer suitable products.

●Creating graphs and tables

●Calculating the five number summaries of the variables in Excel

●Ensure the bank stuff and customer items are insured under the branch, and premiums paid.

●Train sales and the whole branch team on the new products or any adjustments made.

●Monthly reporting of bancassurance financials, i.e, commission collection, marketing allowance.

●Creating graphs and tables

●Calculate the five number summaries of the variables in Excel

●Analyze data patterns and trends

●Prepare reports and summaries based on the analyzed data for every month and product.

Africa Merchant Assurance Company Ltd. – Nairobi, Kenya

Insurance Unit Manager 09/2014 – 03/2015

●Recruiting, interviewing, training and motivating the direct sales representatives

●Setting goals, reviewing and monitoring performance growth

●Sourcing new clients/businesses

●Managing the unit targets and regulatory compliance.

●Drive sustainable growth of assigned portfolio to achieve the target set.

●Calculate the premiums and other underwriting duties

●Update of branch sales figures daily

National Bank of Kenya Ltd. – Nairobi, Kenya

Intern, Risk & Compliance 05/2013 – 08/2013

●Performing Stress testing (liquidity, credit, market & foreign exchange risk)

●Compiled and reviewed financial reports

●Utilize BFUB financial software (customized software for banks in Kenya) to evaluate bonds, risk exposure, and information securities

●Plan audit programs and procedures, and performed audit follow-ups

EDUCATION

M.S. Statistics, California State University – East Bay, 05/2019

B.Sc. Actuarial Science, University of Eldoret (Moi University -Chepkoilel), Eldoret, Kenya, 11/2015

CERTIFICATES

The Data Science of Marketing 10/2019

The Data Science of Retail, Sales, and Commerce 10/2019

Google Analytics for Beginners - Google Analytics Academy, online 02/2019

Intro to SQL for Data Science - DataCamp, online 10/2018

Certificate of Proficiency in Insurance - College of Insurance, Kenya 06/2016

Computer Applications - Kenya Institute of Management, Kenya 03/2010

ACADEMIC PROJECTS

●Used descriptive, graphical, and inferential statistical methods to analyze the data from a Pearson correlation

●Two sample T and Paired T tests of Correlation Experiment [Minitab]

●Conducted 2-sample t test, paired t test and permutation test to verify the assumption by the analysis

●Differences between proc summary and proc table in SAS

●Creating database with 1988 airline data

●Making predictions of people who perished on the Titanic

●Spectral Graph Theory project: created data visualization including spectral clustering and spectral embedding of graphs

●Data Science Pipeline: retrieved, explored and worked with Banking, and Social Networking Data to create and work through a Data Pipeline.

●Do loops, Proc survey, proc merge, generation of random variables in SAS, hypothesis testing, probability models for uncertainty, stochastic processes, distribution theory, ANOVA and regression models.

●Classification of breast cancer tumors to distinguish between benign and malignant ones.

MEMBERSHIP/AFFILIATIONS

California State University East Bay Data Science Club

Member of American Statistical Association (ASA)

Bay Area R User Group (BARUG)

Women in Data Science (WiDS)

Women in Machine Learning & Data Science (WiMLDS)



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