Y
Yesica Camavilca Quichca
About
Detail
Data Scientist
Lima, Callao Region, Peru
Contact Yesica regarding:
Flexible work
Starting at
USD50/hour
Timeline
work
Job
school
Education
Résumé
Jobs
verified_user
0% verified
- NData ScientistNIUBIZJun 2021 - Nov 2022 (1 year 6 months)Leading fintech platform for SMEs digital payments and collections • Clustering, churn, and scoring models for activation and comeback campaigns using PCA, XGBoost • and RFM using Python. • Pipeline automation of forecasting models for daily transactions using Python prophet, Pyspark, • Databricks and ML Azure Studio. • ANOVA hypothesis test for customers' choice at the RyS campaign launch. Main Technologies: Python, Pyspark, Azure, machine learning algorithms.
- RData ScientistRocheAug 2020 - Jun 2021 (11 months)World's largest biotech company • Implementation of databases and software to integrate and associate patients. • Automation of processes and reports for logistics, with important savings in manual tasks. Main Technologies: Python, PostgreSQL, SQL Server, machine learning algorithms.
- EData EngineerEterniasoftFeb 2020 - Jul 2020 (6 months)Software development company, proptech CRM builder, among other products. • Built and maintained a BI system in Pentaho and PostgreSQL that allowed the creation of multiple reports for C-level. Main Technologies: Pentaho, PostgreSQL, Ruby, Power BI, machine learning algorithms.
- LBusiness Intelligence AssistantLIMAUTOS AUTOMOTRIZ S. AMay 2019 - Jul 2019 (3 months)Peruvian company with more than 11 years of successful presence in the automotive market. • Daily and fortnightly sending of semi-automated reports with ETL in SQL Server. • Web scraping in Python to download invoices for maintenance services. • Improvement in the web system for sales requests using PHP which allows eliminating the tickets for loss of attachments. Main Technologies: Python, ETL, SQL Server.
Data AnalystWunderman ThompsonJul 2018 - Feb 2019 (8 months)Network of advertising agencies and marketing and consulting companies with ofices in 90 countries. • Creation of a segmentation model which allowed the discovery of 175K potential users and an anomaly detection model that managed to find 783.5K anomalous consumption. • Creation of reports for clients using APIs, Python and SQL Server. Achieving the automatic update with jobs in Ubuntu and with significant savings in manual processes. • Automation of the weekly report that reduced the completion time from 9 to 5 hours. Main Technologies: Python, SQL Server, APIs.- KData AnalystKallpa GenerationApr 2018 - Dec 2018 (9 months)Part of Inkia Energy, an energy group with a presence in seven countries in Latin America • Collaboration in the creation of multiple Power BI Dashboards for the warehouse that managed to measure the ERI and show the status of OCs to the collaborators to make the purchase of assets transparent. The response time of the purchasing area was reduced from 7 to 3 days. • Automation in macros of the annual personnel objectives report. The manual error calculation was removed and the time to finish the biweekly report was reduced from 3 to 1 day. Main Technologies: Python, Power BI.
Education
verified_user
0% verified
- UMSc Computer ScienceUTEC - Universidad de Ingeniería y TecnologíaMar 2021 - Current (4 years 3 months)
- MProbability Science of Uncertainty and DataMITx (edX) | Massachusetts Institute of Technology’s Office of Digital LearningMay 2019 - Aug 2019 (4 months)
- UBusiness Intelligence SQL ServerUniversity of Pennsylvania and offered through CourseraFeb 2019 - Mar 2019 (2 months)
- Micro master of Big Data AnalyticsBSG InstituteMay 2017 - Jan 2018 (9 months)
- UCloud ComputingUTEC - Universidad de Ingeniería y TecnologíaJul 2016 - Dec 2016 (6 months)
- TBSc Industrial EngineeringThe University of Engineering and TechnologyMar 2013 - Dec 2017 (4 years 10 months)