Keywords
Skills
My skills include:
data analysis, large data sets, Python, R, SQL, Tableau, raw data, Data processing, data entry, SPSS, data quality, Python, R, Logic, SQL, Machine learning, Statistical software, Minitab, Stata, SAP Crystal presentation, Power Bi design tools, Google analytics, Data Studio, ASKIA, Snap, database tools, Hadoop, Cassandra
Project history
- Interpret data, analyze results using statistical techniques and provide ongoing reports
- Perform complex data analysis using statistical packages for analyzing large data sets ( Python, R, SQL, Tableau, PowerBi) in support of ad-hoc and standing client requests
- Acquire raw data and check the quality of data to develop statistical adjustments
- Establish a replicable process for completing monthly, quarterly and annual reports , build predictive models , & visualizations.
- Work closely with the client to develop and identify new statistical products specifications
- Research new analytical tools and statistical methods; contribute to new reports development and improvement in reports delivery and presentation.
Responsibilities:
* Interpret data, analyze results using statistical
techniques and provide ongoing reports.
*
Perform complex data analysis using statistical
packages for analyzing large data sets (Python, R,
SQL, Tableau, and PowerBi) in support of ad-hoc and
standing client requests.
*
Acquire raw data and check the quality of data to
develop statistical adjustments.
*
Establish a replicable process for completing monthly,
quarterly and annual reports.
Responsibilities:
* Preparing layouts for data entry (SPSS, excel or
online surveys), and data quality checking and
validation as well.
*
Delivering the final report for the client using
Analytical tools (Python , R , and SPSS) due to the
agreed analysis plan.
*
Assist team in problem solving.
*
Run further analysis if it's demanded like perceptual
mapping (Bi-plot), strategic action matrix (SAM)
Responsibilities:
* Survey design, data processing and analysis, while
ensuring and constantly delivering strong insights &
actionable recommendations to researchers.
*
Handling international clients and looking into
quantitative research requirements for them.
*
Monitoring the quality of the data and field work
progress.
* Managing and handling CATI projects using different
types of software.