Pablo Chancalay

GRUPO LAFKEN (National Company provider of services to the high-cost health and pharmaceutical market). February 2020 – June 2023. • Forecast of demand for medicines by warehouse, clients, etc. • Inventory optimization through operations research techniques. • Customer segmentation using statistical methodology. • Predictive and classification models oriented to improve internal processes. • People analytics projects: Satisfaction surveys, churn models, segmentations, etc. • Financial Analytics Project: Analysis of late payments and client’s profitability. Forecast of margins through simulations, etc. • Statistical analysis of chemotherapy treatments (survival analysis, descriptive analysis of treatments time and drugs involved, etc.) • Text mining: Transform unstructured data into structured data. (Data is extracted from medical records of patients, converting them into a matrix of rows and columns and incorporate them into the Company's databases). • Software applied: MS Excel, R, Qliksense

NUEVO HOGAR LEDOR VADOR (Nursery home of the Jude Community) June 2017 – January 2020. • Design of statistical information systems for Admissions, Residents and Human Resources department. • Daily reports for the Director of the Nursing Home with the most relevant indicators. • Reports automation. • Statistical support for the Medical Department in their researches. • Design of satisfaction surveys. • Software applied: MS Office and R.

WILLIS TOWERS WATSON ARGENTINA S.A. (Insurance broker). Project from November 2018 to December 2018. • Collection and cleaning of data related to insured sums, policies and claims for coverage of TRO, Fire, Marine, D&O and Civil Liability. Then, the information is reported to central offices in United States of America. • Modeling of claims and type of coverage in software of the company.