Imen Assali

Data Management and Digital Business

• Database management, data quality management, computational support to multi-disciplinary research projects, data extraction and formatting using power Query and Power BI. • Interacted with a wide range of internal and external partners, describing complex concepts and materials concisely. • Worked with big datasets to assess, transform, quality control results, and utilize quantitative data using Python for data analysis.

• The fission yeast contains important model organisms for biological research. • Effective isolation methods that allowed growth of the target species were developed. • Several Tests were conducted to answer the question if the Osmophily in S. osmophilus is an adaptation to high osmotic environments or it's just a defect that was not eliminated by selection. • All the results of the previous tests were analysed using Python for Data Analysis, R programming language and SPSS.

Tasks performed : Microbiological and physicochemical quality control of raw material and finished products  Tools : Python data analysis.

Tasks performed:  Monitoring and Control of the viscosity and physico-chemical properties of a product in which a new ingredient has been introduced. Tools: SPSS, MINITAB.

Tasks performed: Control of the quality of the Production line and Control of the quality of  raw materials and finished products. Tools: SUDSOFT , Microsoft office, Microbiology.

Tasks performed: Development of a microbiological analysis protocol for their finished products and Physico-Chemical control of raw materials and finished products. Tools: Excel VBA programming , SPSS.

Tasks performed:  Hygiene , Microbiological and physico-chemical control of the different samples. Tools: Microsoft Excel , Microbiology , HPLC.

Applied Bioinfomatics Group Development of a machine learning model to Predict the phenotypic characteristics by the integration of genome-wide in silico with in vivo physiological analyses.