Data Scientist and Statistical Analyst

* Lead the development of the organization's data science strategy and developed the strategic
roadmap for integration of Social Media data analytics to the company's analytics strategy.
Manage data analytic projects and products design and implementation such as visualization
dashboards and custom reports.

* Monitor grantee's organizations' interventions' impact and cost-effectiveness for the
Community Foundation of Texas Covid19 vaccination grant, by measuring their contributions to
vaccine activities within their respective area of intervention.

* Monitor changes in data sources and data consumption policies by systematically reviewing
documentation and monitoring news feeds from data providers and attending meetings with data.
Organize regular meetings with Data Product consumers to update their analytic requirement
changes based on field activities feedback.

* Track Government public health policy changes and update vaccine opportunity maps in
geographical locations by adding newly approved age groups to the opportunity prediction and
forecasting models.

* Contribute to the data quality and reporting coordination meetings with grantees and to report
building and storytelling by producing statistics, maps and plots based on reporting needs.
Advice on data collection methodologies suitable for various analytic needs.

Achievements
Project: Fort Worth Independent school districts (ISD) testing program analytic support.
* Designed Covid19 risk detection models using timeseries analysis techniques such as the Box
Jenkins Methodology (SARIMA), Vector Autoregressive Model (VAR) and Vector Error Correction
Model (VECM) to predict Zip code-level risk 14 days ahead at 90% confidence level for Northern
Texas independent school districts (ISD).

* Conceptualized a students' weighted sampling mechanism to support the Covid19 targeted testing
program at school levels in Fort Worth Independent School Districts. Developed a composite
indicator calculating student risk using mobility data trends (Google), social media survey
data (Facebook) and County level health reports. The weights were estimated, forecasted and
tracked and supported the differentiated remote versus in-school education decision-making.
Grant: Community Foundation of Texas - Vaccine Community of Practice (Covid19)
* Developed the data analytic pipeline from ingestion to data products dissemination and
incorporated a feedback mechanism considering users' inputs from the field to improve
analytics and tailor data consumption to field tactical requirements. This resulted in the
creation of a Data Lake, a Data Warehouse, an interactive web dashboard accessible to all
users.

* Conceptualized and lead the data analysis for building the vaccine hesitancy profile of
Communities in North Texas Counties down to the zip code level using social media data
(Facebook Surveys) data and US census data. Built a web Dashboard on Google Data Studio to
deliver insights to facilitate Grantees' decision-making and vaccination field operations.

* Used the box Jenkins methodology (SARIMA) to forecast Covid19 vaccine hesitancy compared to
infection rates at zip code levels 7 days ahead with 95% confidence level using health
department vaccination reports and people reported intention to vaccinate from Facebook Survey
microdata.
Skills used: Excel, Tableau, Timeseries analysis, Forecasting, Box Jenkins methodology, Advanced
Econometrics modeling, Statistical analysis, R programming, R-Shiny, Google Data Studio, Cloud
technology, Data Lake, Data warehouse, Google Big Query, Python

* Designed and tested a survey questionnaire to capture the material deprivation in the
population of a low-income country (Cameroon) by adapting questions from the European Survey
on income and living conditions (EU-SILC) to the local reality.

* Implemented a mobile data collection proof of concept using the questionnaire designed and
developed the analytics and reporting framework answering specific socio-economic questions
using a set of statistical techniques such as panel data analysis, multivariate regression
analysis and Logistic Regression for prediction.

* Developed the final report with associated visualization to demonstrate the concept including
maps showing the geographical distribution of material deprivation using ArcGIS and spatial
analysis in R programming and python.

* Built an Open Data Kit (ODK) aggregate server for the proof-of-concept (POC) of survey data
collection and aggregation on Google cloud spreadsheets using mobile devices (phone, Tablets,
Laptop) in remote and technologically scarce locations.

* Framed the research questions related to "The material deprivation profile of migrants in
EU28" and performed a comparative analysis between non-EU migrants, EU migrants and Locals
using multinomial regression analysis and multi-variated analysis on the EU-SILC microdata of
EU28 countries before the BREXIT.

* Award (2019): Received the award of the best academic paper of the Faculty of Informatics and
Statistics for the article "A quantitative analysis of the impact of aging population
phenomenon on Austrian Government social benefits expenditure between 2006 and 2016."
References: https://veda.vse.cz/esop-2019-seminarni-prace-vyhodnoceni/ https://fis.vse.cz/english/bulletin/mos-student-awarded-in-esop-contest/
Skills used: R programming, SAS, Timeseries Regression (SARIMA), Python, R Programming, Statistical
analysis, Panel data Analysis, Statistical testing, Excel, Power pivot, pivot tables, Tableau

* Participate to program activities and budgeting of unit and responsible for the Independent
subnetworks and other Global Communications links procurement plan and activities.
* Contributed to the write-up of the Term of Reference (ToR) for selecting a Global Satellite
Service provider to manage the Global communication Infrastructure on behalf of the
Commission.
* Act as business analyst capturing and translating users' requirements into technical
specifications for the request for proposal (RFQ) or to teams of analysts and developers.
* Maintain points of contact and assets information up to date for all communication equipment
in the global communications network. Track information changes and ensures the database is
updated accordingly.
* Review and propose improvements to the communication process between stations' points of
contact, the global contractor, and my organizational unit to speed up corrective maintenance
issues.
* Act as unit head when required and lead the team and coordinate all operations and maintenance
activities.
* Others: Vice-President of the Staff Council at CTBTO from Oct 2013 to Oct 2015.

Achievements:

* Conducted stakeholders survey using mixed methods including Paper-based and phone interviews
as well as online Survey using the Monkey survey tools, to collect users' requirements related
to the new Global Communication Infrastructure (GCI) Network Terms of Reference (ToR)
preparation. The data collected was analyzed to get general need trends on needs and this
information was summarized into mandatory requirements added into the ToR.
* Created and maintained information on the Microsoft SharePoint site to track Point of contact
information, operations and logistic activities related to the Telecommunications Network
Migration Project.


Skills used: Operation's management (MTBF, MTTR), business analytics, data analytics, R
programming, Statistics, Excel, Power pivot, pivot tables, Tableau