Nicolas Hoyos Bertin Email & Phone Number

Bogotá, Capital District, Colombia

● Developed personalized data analysis products for several clients, using large amounts of data to provide information useful for decision-making, including user stratification and basket analysis● Used client data to provide effective data-driven solutions, optimizing internal efforts and significantly improving user experience and service performance● Contributed to internal documentation and knowledge shares, explaining protocols and technical concepts to other team members

Bogotá, Capital District, Colombia

● Queried company databases to gather useful data for annotating fine-tunning in-house AI models● Contributed to the standardization of annotating pipelines, developing scripts and documentation to be used by new hires and as a reference for Senior developers

Palmira, Valle Del Cauca, Colombia

Developed an automated data download, processing, and storage service centered around several APIs, including FPMA and FAOSTAT from FAO and COMTRADE from the UN; the database was enriched with IMF and world bank data and used for construction and continuous update of an SQL database deployed at: https://www.riceobservatory.org/en/data/contextoSuccessfully trained a BERT classification model using manually curated WoS Clarivate scientific publications. The model was built using HuggingFace, PyTorch, ScikitLearn, and ImbLearn frameworks for Python. There, sub-sampling and unbalanced weights were used to optimize F1 performance.Performed quality control and developed an ETL pipeline (homogenization, cleaning, and structuring) using AWS and fuzzy string matching for interview data from the CAS agricultural modernization project, details available at: https://agropecuariaysostenible.co/

Palmira, Valle Del Cauca, Colombia

Genotyped, annotated, and performed diversity analyses on 137 sequenced rice genomes enriched and more than 600 additional genomes from the 3,000 rice project. The dataset comprised raw Illumina sequencing data, and some of the tools used were Bowtie2, NGSEP, Admixture and Plink.Performed semi-automated database cleaning, and network analysis of a large (<40.000) WoS bibliographic database using R Bibliometrix for the determination of the role of CGIAR institutions.

Bogota, D.C., Capital District, Colombia

Performed standardized quality control via a Clinical Quality Management System (CQMS) following SOPs to ensure data consistency in supervised phase 3 clinical trials.Worked, approached and communicated with medical personnel in their routine clinical practice to ensure data quality across the entire collection phase.

Bogotá, Capital District, Colombia

Determination of blood type subgroup using first-generation sequencing data from real clinical samples. The analysis was carried out using packages from R Statistical Language to perform custom read of raw base calls and phase separation to deliver subgroup information valuable for donor compatibility determination.

Master'S Degree, Computational Biology

Specialization, Data Science

Johns Hopkins University online specialization on coursera

Bachelor Of Science - Bs, Microbiology, General

Professional Certificate, Machine Learning

Professional Certificate by IBM at Coursera

Bachelor Of Science - Bs, Biology, General