Acting both as a Data Scientist and a Machine Learning Engineer to solve cutting-edge scientific and technical challenges related to Natural Language Processing, Computer Vision and a very wide variety of machine learning use case in challenging scenarios, as well as analyzing and evaluating state-of-the-art algorithms, from academic and industrial research, and implement as well as enhance them in a production environment.- Designing, developing and evaluating the performance of highly… Show more Acting both as a Data Scientist and a Machine Learning Engineer to solve cutting-edge scientific and technical challenges related to Natural Language Processing, Computer Vision and a very wide variety of machine learning use case in challenging scenarios, as well as analyzing and evaluating state-of-the-art algorithms, from academic and industrial research, and implement as well as enhance them in a production environment.- Designing, developing and evaluating the performance of highly scalable and accurate NLP applications in Python.- Developing and implementing machine learning models to solve specific business problems by selecting appropriate algorithms, train models on the data, optimizing model performance, and validating its accuracy and robustness.- Identifying relevant features or variables that can enhance the predictive power of machine learning models as well as performing exploratory data analysis (EDA) to understand the data distribution, identify outliers, and engineer new features that improve model performance.- Visualising data and findings to communicate complex insights effectively. Creating clear and insightful visual representations to present respective analysis and insights to stakeholders and clients.- Deploying scalable, efficient, robust and maintainable machine learning models into production.- Applying statistical methods and hypothesis testing to validate findings, ensuring the reliability of the models. Assessing model performance, evaluate the significance of variables, and make data-driven recommendations based on statistical inferences.AI projects I've developed so far in Paques respect to the clients :- XL : Data Migration- Bank Victoria : Fraud Detection System, Credit Scoring- National Cyber and Crypto Agency : Sentiment Analysis, News & Text Classification, NER- Ministry of Transportation : Passengers Prediction System Show less

Worked as Data Scientist, specifically at Recommender System at Japan-based collectibles e-commerce company remotely to design and build product recommender systems to enhancethe customers experience by suggesting products that align with their interests and needs. ● Performing exploratory data analysis on existing data and gathering new ones.● Building product recommendation systems using collaborative filtering methods.● Conducting A/B tests to evaluate the impact of… Show more Worked as Data Scientist, specifically at Recommender System at Japan-based collectibles e-commerce company remotely to design and build product recommender systems to enhancethe customers experience by suggesting products that align with their interests and needs. ● Performing exploratory data analysis on existing data and gathering new ones.● Building product recommendation systems using collaborative filtering methods.● Conducting A/B tests to evaluate the impact of recommendationsystem changes on user engagement, conversion rates, and other relevant KPIs. Show less

Having fast-paced & ever-changing environment that entails us to be a fast learner to be able to grasp all the present circumstances. Dealing with more than millions data that need to be processed and delivering it in weekly basis to clients and superior.-Extracting insight from the data & circumstances of production & factory.-Analysing, forecasting & investigating the current trend of production capacity based on production data.-Inspecting & scrutinizing the defects that… Show more Having fast-paced & ever-changing environment that entails us to be a fast learner to be able to grasp all the present circumstances. Dealing with more than millions data that need to be processed and delivering it in weekly basis to clients and superior.-Extracting insight from the data & circumstances of production & factory.-Analysing, forecasting & investigating the current trend of production capacity based on production data.-Inspecting & scrutinizing the defects that occurred in production & analysing how to reduce & take the necessary course of actions to prevent them to happen in the future. Show less