Resume
Work
Experience
2023 - Present
Data scientist former
• Designed and taught data science courses covering machine learning, NLP, data cleaning,data visualisation and data quality.
• Delivered practical training in multiple programming languages, including Python, R, and SQL.
• Guided students in executing data science projects, emphasizing data modeling, analysis, and interpretation.
2020 - 2023
Data scientist
• Developed interactive dashboards summarizing fish stock and capture data, providing real-time insights into fish populations and fishing activities to enhance stakeholder decision-making.
• Implemented automated data validation and cleaning procedures for fisheries datasets, leading to enhanced data accuracy for stock assessment and regulatory compliance.
• Developed an anomaly detection algorithm to identify unusual patterns and outliers in fisheries data, improving early detection of potential issues and enabling more effective intervention strategies.
• Performed thorough research and created a precise predictive model to optimizephytoplankton biomass in hatchery shellfish, resulting in a remarkable 20% productionincrease and 3% cost reduction.
• Led the adoption of cutting-edge predictive modeling techniques to forecast bream production in open sea cages.
Skills
& Expertise
-
Machine Learning | Deep Learning | Natural Language Processing (NLP) | Web Scraping | Data Manipulationand Analysis | Statistics and Mathematics | Data Visualization | Data Storytelling | Programming Proficiency |Database Management | Version Control | Data quality | Generative AI | Scrum | GCP Cloud | IBM Cloud
• Database: MySQL
• Programming language: Python, R, SQL, C++, Java.
• Frameworks and Libraries : TensorFlow, Keras, PyTorch, Flask, FastAPI, Streamlit.
• Other software and tools: Docker, CI/CD, Wandb, Apache spark, Tableau, POWERBI, SPSS.