Germany
I am a passionate and dedicated scientist with over eight years of experience in plant molecular biology and biochemistry. Recently, I have transitioned into the field of data science, combining my scientific research background with my passion for programming and data analysis. Throughout my academic journey as a doctoral candidate and scientific researcher at the Humboldt-Universität zu Berlin, I honed my skills in characterizing metabolic pathways, analyzing protein modifications, and conducting advanced molecular biology techniques. In addition to my scientific expertise, I bring valuable experience as an HPLC operator and technician. I have extensive experience operating HPLC machines and have performed repairs and maintenance on laboratory HPLC equipment, which saved the laboratory a lot of maintenance and repair costs. My background as a trained car mechanic, with 3.5 years of experience in the automotive industry, provided me with the skills and mechanical aptitude necessary to troubleshoot and repair complex machinery effectively. My diverse skill set encompasses proficiency in scientific research, programming, data analysis, and technical troubleshooting. I am committed to lifelong learning and have a passion for sharing knowledge with a proven record of supervising five bachelor thesis, two master thesis and teaching University courses. I am deeply passionate about scientific exploration and thrive on contributing to research initiatives in molecular biology, data science, and beyond. With a multidisciplinary background encompassing plant science, data analysis, and technical troubleshooting, I am enthusiastic about exploring opportunities in both academic, industry settings and other fields where my skills and expertise can contribute to innovation and progress.
Machine Learning: • Expertise in developing machine learning models for predictive analytics. • Proficient in implementing Random Forest, Decision Tree with Ada Boost, and Neural Network algorithms for classification tasks. Data Science: • Skilled in web scraping techniques to gather relevant data for analysis. • Experienced in data exploration, cleansing, and enrichment to ensure high-quality datasets. • Proficient in feature engineering to extract meaningful insights from tennis match data. Data Visualization: • Proficient in data visualization techniques using tools like Matplotlib, Seaborn, and Plotly. • Capable of creating insightful visualizations to communicate findings effectively. Model Evaluation: • Experienced in evaluating machine learning models using metrics like accuracy, precision, recall, and F1-score. • Proficient in cross-validation techniques to assess model performance accurately. Programming Languages: • Proficient in Python programming language for data analysis and machine learning tasks. • Familiar with libraries such as NumPy, pandas, scikit-learn, and TensorFlow. Data Management: • Experienced in managing large datasets efficiently using SQL and NoSQL databases. • Proficient in data preprocessing techniques to handle missing values, outliers, and feature scaling. Communication and Collaboration: • Strong communication skills to convey complex technical concepts effectively. • Collaborative approach to work, with experience in interdisciplinary team environments.
As a dedicated scientific researcher and doctoral candidate at Humboldt-Universität zu Berlin, I specialized in the characterization of the flavin metabolism pathway in A. thaliana, focusing particularly on the cytosolic FAD synthetase/FAD pyrophosphatase. My responsibilities encompassed a wide array of tasks, including but not limited to: 1. Characterization of Flavin Metabolism Pathway: • Extensive research and analysis of the flavin metabolism pathway in A. thaliana, with a specific focus on the cytosolic FAD synthetase/FAD pyrophosphatase. 2. Analysis of Co-translational Modifications: • Conducting in-depth analyses on the co-translational modifications of plastid-encoded proteins. 3. Metabolite Analysis and Quantification: • Proficient in the analysis and quantification of metabolites associated with the tetrapyrrole and flavin metabolism pathways using High-Performance Liquid Chromatography (HPLC). 4. Laboratory Techniques and Assays: • Expertise in a diverse range of laboratory techniques including cloning, SDS-PAGE, Western Blot, qPCR, protein purification, FPLC, enzyme assay development, protein crystallization, and structural analysis. • Skilled in the application and technical maintenance of HPLC systems (Agilent) and conducting phosphorylation assays using radioactive phosphates. • Proficient in advanced techniques such as Microscale Thermophoresis, Yeast-2-hybrid, BiFC (Bimolecular Fluorescence Complementation), and confocal microscopy. 5. Plant Molecular Biology: • Experience in generating RNAi and overexpression lines in A. thaliana and N. tabacum. • Conducting biotic and abiotic stress experiments with plants, contributing to the understanding of plant stress responses.
Several visits were made to the Protein Maturation, Cell Fate, and Therapeutics Laboratory of Carmela Giglione to conduct enzyme assays and crystallize plastid-localized methionine aminopeptidases in A. thaliana.