labels
class label 7
classes | text
stringlengths 19
772
|
|---|---|
1Machine Learning Engineer
| Deployed API using FastAPI, Docker, AWS Lambda, and API Gateway, with deployment automated using Github Actions and ML cycle management automated with MLFlow on AWS EC2. |
1Machine Learning Engineer
| Manipulation and configuration of linux operating systems to put systems in production. |
1Machine Learning Engineer
| Graded homeworks and prepared material for the class when the teacher was absent. |
0Data Engineer
| Designed and implemented Microsoft Power BI and Tableau organizational dashboards, allowing easy visualization and analysis of key metrics to gather all the requiremets depending on the company goals they had for the employees’ wellbeing. |
0Data Engineer
| Designed and developed a Data Buses and an API for systems integration to expose customer-related information of financial institutions to end users in a secure way. |
0Data Engineer
| Implemented and maintained ELT pipelines with Apache Beam hosted on Dataflow runner to feed the data warehouse raw zone at BigQuery from multiple MySQL databases (Aurora and RDS) with around 8 million financial records daily to enable operational and strategic analytics of a factoring company. |
0Data Engineer
| Designed and implemented a pipeline to extract data from both RDS and S3 for an AWS Redshift dimensional model. Built on Python, Spark, Airflow, Glue, SQL, and DBT. |
2Data Analyst
| Built dashboards using Excel to show driver operations, costs and KPIs to the Operations department. |
0Data Engineer
| Automated reporting using AWS Lambda, DynamoDB, AWS Step Functions, and Docker with Serverless deployment. |
2Data Analyst
| Automated expenses report tagging using Machine Learning models. |
3Data Scientist
| Improved one of the companys most important products by migrating to Python for its production environment. |
0Data Engineer
| Led consulting engagements to help clients set up and scale their automation programs from planning through implementation. |
3Data Scientist
| Prepared visual report using SQL, R, ggplot2 and data.table packages in a Rmarkdown environment to quickly identify trends and patterns that may not be immediately obvious in customer’s activity log data. |
4MLOps
| Developed and deployed a SDK (Software Development Kit) using Python to support requests from different clients with site reliability needs for a technology services company. The SDK centralized SQL querying, RESTRESTful APIs interactions, and scenario-specific processes, and it was packed with a module to help develop and implement multiprocessing solutions that allow developers to shrink task run times, achieving productivity and efficiency within the technology company. |
0Data Engineer
| Created and maintained a data warehouse in Snowflake for several data formats from cloud services (AWS S3, Azure, GCP) using Snowflake stored proceduresSnowpipes. |
1Machine Learning Engineer
| Built churn prediction models for one of the world’s largest telecom companies. Delivered a baseline heuristic model in a couple of weeks and then built advanced interpretable machine learning models (Tree-based and Deep Sequential Models) which anticipated 75% of churners within 15 days. |
0Data Engineer
| Implemented CICD pipelines for infrastructure deployment automation via GitHub Actions and Terraform. |
0Data Engineer
| Designed and implemented a layered data lake using AWS S3 and the AWS Glue data catalog. |
0Data Engineer
| Built a data warehouse that enabled sales statistics, product performance and product reviews data from an e-commerce public dataset stored in an Amazon S3 bucket to be available for insights and analytics generation. Used Snowflake Snowpipe to extract data from S3 bucket into Snowflake and SQL queries on the Snowflake worksheet to resolve business questions. |
0Data Engineer
| Created a data pipeline, from the ingestion of the data through Alteryx, until the transformation of of it through Python and Airflow as a data workflow manager. |
2Data Analyst
| Used Python tools to clean data, and show tendencies and insights on data about epidemiological patients and surveys, to check for seasonality and other behaviors of Covid-19 in Colombia. |
0Data Engineer
| Examined data systems in an organized effort to understand their structure and determine relationships between them. This analysis provided the foundations for the business rules implemented in data marts inside the general data warehouse that will efficiently solve data questions for different stakeholders. |
1Machine Learning Engineer
| Predicted future tendencies of client salaries using a customer lifetime value model. |
0Data Engineer
| Maintained and implemented a data infrastructure (data warehouse, data lake, data mart, metadata management, error tracking, and notification) on Redshift, AWS S3, and Snowflake based on a delta lake architecture. |
1Machine Learning Engineer
| Created a default prediction model using tabular data, classical ML techniques and training classification models. Techniques included tree-based models from Scikit-learn, support vector machines, gradient boosting and neural networks using Keras. |
3Data Scientist
| Deployed a classifying transactions service through an API using FastAPI, and containerized using Docker. Integrated several containerized services, deploying the final solution using Kubernetes in Google Kubernetes Engine. Improved consulting company’s new clients onboarding process by detecting relevant spending data, and reducing manual efforts to categorize data. |
0Data Engineer
| Built and deployed strategic and operational dashboards with Power BI over SQL Server Database to follow the KPIs of the loyalty programs with custom metrics and visualizations based on the requirements of each client. |
0Data Engineer
| Proposed and implemented machine learning time series prediction model using Python and Tensorflow as POC’s for a gas and oil company. |
1Machine Learning Engineer
| Created ETL jobs and Data Marts to build reports and dashboards using SQL and Python, delivering and maintaining over 50 dashboards. |
0Data Engineer
| Built infrastructure for medium-sized businesses based on bare metal servers and open source software, with disaster recovery strategies and fault-tolerant mechanisms. |
2Data Analyst
| Performed quality and cleaning tasks to identify existing errors within the universities and the Ministry of Colombia Educations databases to have a smoother accreditation process. |
0Data Engineer
| Designed and implemented a Data Mesh architecture using Python and Scala, and processed and analyzed data using Apache Airflow and Apache Spark in AWS. |
2Data Analyst
| Created data visualizations using Tableau. |
3Data Scientist
| Performed clusterization on clients databases and RNNs using DBSCAN to predict customer satisfaction and enable a better planification of customers’ satisfaction strategies. |
0Data Engineer
| Implemented an event-based web sockets ETL to capture information of invoices directly from commerces’ POS system to do Market Basket Analysis and consumer behavioral analysis. |
0Data Engineer
| Developed functional and technical universes and reports for the financial planning team of a peruvian manufacturing, distribution and marketing of nonalcoholic beverages company using SAP BusinessObjects, SAP BW and SAP HANA systems Used Information DesignTool (for universes), Web Intelligence , analytical views using SAP HANA and Design Studio for reports. |
1Machine Learning Engineer
| Developed credit default models using alternative data (not only central bureau data). |
0Data Engineer
| Designed databases and implemented data processing leveraging Databricks-native features to validate and enrich data driving business decisions and applications. |
0Data Engineer
| Developed and maintained an enterprise taxonomy for one of the leading marketing platforms in Latin America using statistical models. |
1Machine Learning Engineer
| Built ETL jobs to generate databases for training, validation, and testing. Explored, processed, and modeled data to feed machine learning models. Performed technical support in Analytics, prepared instruction manuals. Developed task automation scripts in a Big Data environment. Implemented data processing processes and applied ML models in a distributed manner in large amounts of data. Built reports using data visualization tools. |
1Machine Learning Engineer
| Redesigned the entire data access layer of the Python API for a recruitment platform by implementing SQLAlchemy as an ORM and using domain-driven design (DDD) principles. This effort reduced the size of the codebase by 13% while maintaining the same functionality, leading to shorter development times and easier maintenance. |
0Data Engineer
| Designed an orchestration pipeline using Dagster and Airflow to run raw data ingestion pipelines. |
0Data Engineer
| Designed and developed a neural network model for a web application deployed on Amazon EC2 that applies Deep Feedforward Neural Network to predict pollution levels at a coal mine based on meteorological measurements. Transformed and visualized data using Python, Pandas and Dash. The model was trained, tested and shipped using Python and Keras. |
0Data Engineer
| Created a data lake using several different APIs to centralize customer risk assessment data into an extensive customer database used for machine learning processing and risk score and risk assessment models. |
2Data Analyst
| Proposed and implemented data base strategies for an epidemiological laboratory in order to solve geolocation problems. |
1Machine Learning Engineer
| Prepared and delivered problem solving lectures to help students. |
0Data Engineer
| Defined Azure CosmosDB implementation as operations database for banking. |
0Data Engineer
| Cleaned, processed and analyzed data of marketing research focus groups. |
1Machine Learning Engineer
| Built and trained ML models applying AutoML techniques and time series over customer metrics to predict the number of calls per day attended by the customer service department, enabling proper dynamic provisioning and hiring of human resources based on ticket forecasts for each branch. |
1Machine Learning Engineer
| Led a research project studying the mathematical properties and real-life consequences of dealing with fat-tailed variables for construction companies and the resulting consequences in their construction strategy. Analyzed the over-reliance on government subsidized projects and how we should price in the uncertainty that new governmental rules could significantly alter the construction landscape. |
0Data Engineer
| Verified relevance of e-learning content in pilot tests and analyzed student engagement with the platform. |
0Data Engineer
| Led development of prototype data consulting company as an internal project. Engaged stakeholders for data acquisition, assigned tasks during implementation, and presented results. |
3Data Scientist
| Built time series models using the modeltime framework to predict demand for services of a utility’s shared services center to enable optimization of staffing based on peak demand times. |
3Data Scientist
| Developed an algorithm using R and Python to solve data-quality problems such as school ID matching. |
1Machine Learning Engineer
| Involved in the development of the production code and experiment infrastructure setup. |
0Data Engineer
| Implemented IOTMQTT Interfaces. |
0Data Engineer
| Taught Python courses from scripting fundamentals up to machine learning basics with Scikit-learn for one of the biggest private universities in Argentina. |
5Analytics Engineer
| Led purchase orders creation and follow-up processes in SAP, SWPS and Oracle ERPs. |
3Data Scientist
| Worked as an in-house consultant for the BI department in matters related to data governance and best practices. Helped solve data disputes in matters related to data ownership and the official source of Truth. |
5Analytics Engineer
| Designed and created data marts that allow fast readability and interpretability of data, enabling and empowering business analysts by applying data modeling best practices. |
1Machine Learning Engineer
| Implemented a recommendation system based on user interaction and job opportunities. |
1Machine Learning Engineer
| Ongoing skill development on frameworks like React, Vue and Angular. |
3Data Scientist
| Set up a experiment tracking and CICD pipeline for a classification task using MLflow and GitHub Actions to log metrics and artifacts of trained models and to automatically wrap them in a FastAPI application, run unit tests on the endpoints, build a docker image of the application, push the image to AWS ECR, and deploy the application using AWS API Gateway and AWS Lambda. Used DVC and AWS S3 to manage the data used to train the model. |
0Data Engineer
| Implemented an ETL pipeline for automatic data extraction and notification for a legal tech app. |
0Data Engineer
| Modeled and automated ITIL-based IT business processes using Suite Bizagi Studio BPM it improved productivity and communication between teams with a reduction in downtime by 50%. |
2Data Analyst
| Proposed models, performance metrics and validation schemes for new projects. |
3Data Scientist
| Built a low-level interface to fully control Pepper-the humanoid robot capable of having friendly social interactions with clients. Contributed in the design of object recognition, speech recognition, and navigation functionalities. These tools were created using the robotics operating system ROS in C++. |
1Machine Learning Engineer
| Created data transformation pipelines using Python (Pandas, regex) and SQL (in Snowflake) to parse, clean, and aggregate text and numerical data. The resulting data fed dashboards and graphs that comprised one of the products of a food and beverage researchanalytics company. |
1Machine Learning Engineer
| Built a system to monitor covariant shift with adversarial classification and classical statistics tests |
3Data Scientist
| Performed exploratory data analyses and produced technical reports to aid ongoing research to generate insights that enable monetary policy for Colombia’s central bank. |
1Machine Learning Engineer
| Led a team of seven to define the architecture and implement a full-stack talent acquisition platform using AWS tools and NLP Techniques such as, sentence similarity matching, text classification, sentence embedding and Transformer based models. |
1Machine Learning Engineer
| Optimized the score calculation of an NLP-based application that helps rank the best candidates for a specific job description given their CVs using Word2Vec, and SentenceTransformer embeddings. |
0Data Engineer
| Developed diffrent ETL pipelines, data architecutre, data modeling, and cloud computing using Databricks, Pyspark, Airflow, Python, and Docker. |
3Data Scientist
| Tuned a Transformer-based document classifier with HuggingFace. Set up model monitoring logic to detect data covariate shift and log violation reports in AWS S3. Enabled an alarm that triggers once a certain number of violations had been detected with AWS SNS. |
0Data Engineer
| Developed a comprehensive accounting system for the companies in the venture. |
0Data Engineer
| Designed and deployed data architectures company-wide based on Splunk for a manufacturer of construction materials in Colombia. |
1Machine Learning Engineer
| Designed and developed a REST API using FastAPI as the backend of a remote recruiting website for the purpose of connecting recruiters with data professionals. The backend was the core of a complex microservices architecture that coordinated Machine Learning APIs and several data sources such as Amazon S3, PostgreSQL and MongoDB. |
0Data Engineer
| Implemented and deployed machine learning models on AWS using techniques like behavioral pattern clustering, fraud detection, natural language processing, and churn analysis. |
1Machine Learning Engineer
| Participated in the structural evaluation of a 50-year-old bridge near Munich, Germany. The tasks carried out were finite-element analysis of the substructure and superstructure. |
2Data Analyst
| Worked with NonSQL databases to upload information about new results coming from epidemiological surveys and laboratory tests in a non-structured format. |
0Data Engineer
| Developed an app to identify which products had issues during their registration in the tracking system. |
1Machine Learning Engineer
| Developed Azure Functions. |
0Data Engineer
| Built integration tests to ensure good dataset metadata, and bots in Slack to suggest the removal of unused datasets using WHAT TOOLS |
0Data Engineer
| Defined and prioritized business data needs as part of Interbank’s Analytics Center of Excellence. |
0Data Engineer
| Implemented Iterable, a marketing tool, to track user behavior through APIs: designed data points to collect and their corresponding triggers; implemented the triggering of the events and the collection of the data (via API calls, webhooks, data streaming etc.) and created dashboardsworkflows to visualize and act upon the data. |
0Data Engineer
| Developed data pipelines in Databricks using delta live tables and multi-task workflow orchestration for streaming, incremental and batch workloads. |
0Data Engineer
| Analyzed different services of the company using the elastic demand curve and statistical methods for concept proofing in order to determine programs, prices, and benefits return that maximize profits, customer retention, and sales increase. |
3Data Scientist
| Developed statistical queue and optimization models to manage the workforce in the call center of a large bank in Colombia, improving its customer service. |
2Data Analyst
| Designed and implemented a waterfall dashboard for the marketing department based on CRM and financial data using MySQL to help management supervise the ROI of each marketing campaign. |
1Machine Learning Engineer
| Wrote solutions in C to develop functions for a global medical technology company to process input from microcontrollers using a circular buffer data structure and stored for processing in MATLAB. |
3Data Scientist
| Developed fraud risk predictive models using Python and applying data science and statistical techniques to minimize monetary losses and increase overall profitability of the fintech business. Led shaping, development and deployment phases, interacting with key business stakeholders to better understand the requirements needed. |
0Data Engineer
| Created different data marts that support our customer business operations by enhancing data visibility with precalculated metrics and variables included in newly developed data models that also have new relations between previously isolated data sets. |
0Data Engineer
| Advised customers in the technical implementation of SAP and non SAP BI tools for different business in the retail, industrial, clothing and telecommunications industries. |
0Data Engineer
| Automated reporting using AWS tools (Lambda, S3, Dynamo, SNS, step functions), Python, and Docker, with data from REST APIs. |
0Data Engineer
| Maintained and improved an assistance control system using Microsoft Excel macros in Visual Basic to capture information from Colombian ID cards for storage in spreadsheets. |
0Data Engineer
| Provided support to monitor and manage the budget for the telco’s prepaid business unit. |
1Machine Learning Engineer
| Lectured a reinforcement learning lesson for a machine learning course. |
0Data Engineer
| Created reports with Crystal Reports and DevExpress for a WinForms inventory management system for a client in the food industry. |
0Data Engineer
| Deployed the code infrastructure using Docker and a Cloud Linux Virtual Machine. |
0Data Engineer
| Built a data warehouse with Redshift using dimensional modeling and DBT to improve sales and supply strategies. |