Data Analyst Tableau Developer
Resume:
Harrison Foncha
****************@*****.***
Summary:
Senior Data Analyst and Biochemist with more than 6 years of professional experience in the Financial, Research and Healthcare domain. Able to learn unfamiliar material and techniques quickly, exhibit great attention to detail, execute under aggressive deadlines, and adapt quickly to changing circumstances and systems to maintain strategic vision of the organization and link it with everyday work. Very passionate about projects and able to carry out tasks that are time sensitive in an efficient manner to guarantee the growth and success of the organization. A wonderful team player who values collaboration and communication, eager and possesses a very strong work ethic and can relate and work efficiently with diverse groups.
Education
Education
2014/05- Bachelor of Science: Business Administration and Accounting
University of Bamenda – Bamenda, Cameroon
Technical Skills:
echnical Skills:
• Tableau, Power BI, Amazone Web Services (AWS)
• Databases: MS SQL Server 2005/2008/2012,
• Operating Systems Windows, Unix, Linux
• Statistical Modelling, Data Extraction, Data screening, Data cleaning, Data
Exploration and Data Visualization of structured and unstructured datasets
• Writitng and Editing Reports
Professional Experience:
Dunamis Information and Technology Center - Beltsville, MD June 2020 – Present
Data Analayst/Tableau Developer
•Deploy Tableau Dashboards and worksheets in clustered environment.
•Documente a whole process of working with Tableau Desktop and evaluating Business Requirements.
•Interacted on a day to day basis with several different groups to achieve a common deliverable.
•Create Tableau scorecards, dashboards using stack bars, bar graphs, scattered plots, geographical maps, heat maps, bullet charts, Gantt charts demonstrating key information for decision making.
•Identified and document limitations in data quality that jeopardize the ability of internal and external data analysts
•Create complex SQL queries and scripts to extract and aggregate data to validate the accuracy of the data
•Provide high level expertise in applicable public health disciplines to collect, abstract, code, analyze, or interpret scientific data contained within information systems and databases related to public health
•Lead the data analytics team with the help of the data scientist
•Analyze program data using statistical and relational database software
•Research contents, limitations, and potential uses of all available data sets relevant to assigned task areas
•Develop documentation for all analyses to include storage location of all files (i.e., program code, data sets, output); thoroughly document program code and monitor use of disk storage, archiving data sets when not in use
•Develop measures to assess contract performance in assigned task areas and make changes to those measures as required with contract modifications
•files and SQL Server
•Created various views in Tableau (Tree maps, Heat Maps, Scatter plot)
•Created quick filters, table calculations, calculated parameters and measures
•Inspected reporting requirements and created various Dashboards
Environment : AWS, BI, TSQL, SQL, MS Excel and Windows.
Oceac ( Full-Time), Yaounde-Cameroon Feb 2016- June 2020
Data Scientist
•Identify and integrate disparate data sources, both internal and external, including raw data from medical researchers, unstructured data from clinical experts, and well-established, publically-available databases
•Develop and deploy machine learning algorithms, predictive models, and classification methods to advance cancer research and inform clinical decision making
•Deliver novel, data-driven insights to improve outcomes in the treatment of cancer
•Identified novel molecules with activity against a cancer causing protein target
•Developed a predictive model from clinical features to identify patients at the risk of DNA repair diseases
•Developed Ordinary Differential Equation models of molecular pathways that are perturbed in cancer to identify potential drug targets
•Devised statistical models, algorithms and software systems to better serve research needs
•Researched and compiled statistical data to support cost control and care improvement initiatives
•Work closely with molecular biologists during assay development and optimizations
•Analyzed archival data such as birth, death and disease records for cancer research
•Monitored clinical trials or experiments to verify adherence to established procedures and quality of data collected
•Drew conclusions and made predictions based on data summaries or statistical analysis
•Calculated sample size requirements for clinical studies
Environment: ER Studio, AWS, MDM, SUnix, Sharepoint 365,Python, MLLib, SAS, Regression, Stata,Logistic Regression
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