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Nicolás Sánchez

Nicolás Sánchez


Data Engineer



My Portfolio Highlights

My New Project

Dr. Semmelweis and the Discovery of Handwashing

My New Course

Introduction to Python

My New Certification

Data Scientist Professional

Data conductor, leading the orchestra of insights with analytical finesse.

My Work

Take a look at my latest work.


Introduction to SQL


Introduction to Python


Data Scientist Professional

My Certifications

These are the industry credentials that I’ve earned.

Data Scientist Professional

Data Scientist Professional

Other Certificates

Tableau Tableau Desktop Specialist

Saelsforce Salesforce Administrator

Salesforce Salesforce App Builder

University of Michigan Applied Data Science with Python

DataCamp Data Scientist Professional

DataCamp Course Completion

Take a look at all the courses I’ve completed on DataCamp.

My Work Experience

Where I've interned and worked during my career.

RootStack | Mar 2023 - Present

Data Engineer


Anyone AI | Aug 2022 - Feb 2023

Machine Learning Engineer

Worked with industry experts developing high-quality data science and machine learning projects for the industry. ● Product detection for in-store inventory management with YoloV5: Applied computer vision techniques to detect products in images of supermarket shelves. Built an API service, backed by a machine learning model for object detection (YoloV5) that returned the bounding boxes with the location of missing products, achieving a Mean Average Precision of 82%, a recall of 78%, and a precision of 87%. ● Natural Language Processing for Sentiment Analysis: trained a neural network for the classification of 50K real-life movie reviews based on users' sentiments using word2vec GenSim with an AUC score of around 87% and F1-Score of 78%. ● Neural Network for Vehicle Classification: training and fine-tuning of a CNN (Resnet50 architecture) on AWS for the classification of 16000 different car images with an overall accuracy of 75% for 196 different vehicle classes. The model was tuned using different techniques: hyperparameter optimization (a combination of learning rate, dropout, and regularization), re-processing steps such as image cropping and data augmentation (image flipping, rotation and zoom). ● Credit Risk Analysis with binary classification models: Developed feature engineering, data preprocessing, built a machine learning pipeline and trained high-performance binary classifiers such as Logistic Regressor, Tree-based and Gradient Boosting Machine models, for the problem of classification in a home credit risk analysis real-life application, with an overall ROC-AUC score of 76%
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Oktana | Jan 2022 - Jan 2023

Data Aanlyst

Worked on implementing charts and dashboards with Tableau Analytics Studio for data visualization, integrating them into the Salesforce CRM, in order to keep track of client's insightful data and performing analytics based on business KPIs for the improvement of the company's decisions making process.

Oktana Corporation | Oct 2020 - Jan 2022

Quality Assurance Engineer

As a Salesforce Summit Consulting Partner, helped companies innovate through multi-cloud Salesforce digital transformations to integrate it seamlessly into day-to-day operations. ● Lead a team of 6 functional testers in a software development project in the ESG field (California- USA) for clients like Hasbro, Mattel, Hanes, Walmart, LIDL, etc. as part of a multidisciplinary team. ● Executed manual, functional and automated testing of a CRM system (Salesforce) using different QA testing techniques and technologies like Selenium, TestNG and Java. ● Improved the team's productivity by 25% and increased new resources' onboarding process/ learning rate by 50%. ● Designed and managed the team tasks, roles, and responsibilities, while maintaining all the QA processes and standards ● Designed, planned, and estimated time & efforts in package testing for continuous delivery each release cycle with an accuracy of 90%. ● Conducted Technical interviews to recruit new QA team members.

LCCA-NIDTEC-UNA | Mar 2020 - Aug 2021

Research Assistant

Submitted investigation papers to international congresses (CLEI, CNMAC) based on his bachelor's thesis research related to the application of the Compressed Sensing theory for image reconstruction in Magnetical Resonance Imaging modality.

Student Union CEI UNA | May 2019 - May 2021


President of the student union of the 7 engineering branches at the Engineering School of the National University of Asunción - Democratically elected by his peers, had the opportunity to grow as a young leader and involve not only in political, but also social, cultural and academic activities. Networking and public relations with other students from different universities were also part of his experience.

My Education

Take a look at my formal education

Master's degree in Statistics and Data ScienceMassachusetts Institute of Technology | 2023
Bachelor's degree, Mechatronics, Robotics, and Automation EngineeringUniversidad Nacional de Asunción | 2021
Data Science Specialist, Data Processing and Data Processing Technology/ TechnicianUniversity of Michigan | 2020
High School Diploma, Applied MathematicsColegio Goethe Asunción | 2013

About Me

Nicolás Sánchez

Data Scientist & Machine Learning Engineer with 2+ years of experience in the IT industry | Bringing technical data solutions & positive leadership

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