Data Administrator Resume

SUMMARY:

A hard - working and self-motivated data science graduate with a strong passion to succeed in text mining NLP . Relevant skills include machine learning, big data tools and techniques, data analysis, programming, and creative thinking.
Data Preparation- Data Cleaning - Data Visualisation
Machine Learning (Clustering/Classification/Association/Sentimental/Logistic Regression)
SQL - Statistical Analysis

TECHNICAL SKILLS:

R Studio | Python Pandas, NumPy, SciPy, Matplotlib, Seaborn, Scikit-Learn, NLTK and Spacy | Spark | Hadoop | Impala | Hive | SQL | SAS | SPSS | Tableau | Power BI | AWS | MS Office.

WORK EXPERIENCE:

Confidential

Data Administrator

Responsibilities:

Worked with the MI Analysts to ensure data accuracy and compliance, supporting the FE’s via enhanced visibility and interpretation of data checks.
Supported the efficient management of files via creation of internal operational reports, to feed into self-service dashboards.
Delivered BAU low level Client MI reports.
Monitored the MI Team inbox and responding to ad hoc queries independently.
Any other tasks as and when required.
Checked and updated the schedule of each plant depending on the lost or gained times.
Updated the stock of each product in every plant.
Performed the routing work plan in the morning and afternoon.
Attended meetings with the different managerial production staffs.
Updated the service directory for asylum seekers and refugees and the database of all the stakeholders and other partners who work in collaboration wi th the Welsh Refugee Council.
Managed to handleeffectively incoming and outgoing calls for the Policy and Communication department as well as general reception support which involved taking and administering queries from clients.
Conducted online statistical research to collect statistical data about migration.

Statistician/Researcher

Confidential

Responsibilities:

Conducted for field survey and coordinating fieldwork for different data collection activities carried out by the office.
Questionnaire design, preparation and development of interviewer’s, Supervisor’s and Editor’s Manual as well as translating them into national languages.
Data collection through field works and conducting interviews.
Analysis and report writing of different demographic and health data sets using SPSS.
Cleaned, visualised, and analysed data using clustering and classification techniques in R and SAS. Designed a model that used sentiment analysis to calculate the overall positive and negative lexicons from the given data sets. Proposed research questions that will direct future areas of study.

Proposed a dashboard that represents the relationship between Trade balance and Merchandise Imports and Exports for several European Countries using Tableau. Presentation of datasets in a visual system using bar charts, line charts and sparklines over tabular presentation of data, keeping the dashboard as interactive and as easily as possible for any user.