labels
class label 51
classes | text
stringlengths 50
491
|
---|---|
29Senior Tutor
| Lectured classes in Machine Learning, Data Science, Programming Languages (Java, Python, Javascript), Data Structures, Algorithms, Data Analysis, Predictive Modeling, Matlab, Applied Mathematics, Algebra, Statistics, and Calculus to students worldwide through an online platform. |
46Industry and Commerce Analyst
| Analyzed industry and commerce sector financial data to make investment decisions for the largest bank in Colombia. |
21Analytics Engineer
| Designed and built a data warehouse following Kimball’s data modeling technique and the modular data modeling technique using DBT and SQL. |
2Data Analyst
| Created data pipelines with data quality testing, documentation, and transformation as part of the ELT process. |
19Pricing Analyst
| Automated many long and manual processes which were done by the team by using scheduled bots. |
3Senior Data Engineer
| Developed a REST API in Java and Spring Boot to enable an analytics dashboard with Tableau for transaction-level visualizations. |
18Business Intelligence Developer
| Created clustering models to categorize sales and customer frequency for different store sizes across multiple regions in Colombia, enabling the sales department to develop target incentive programs. |
9CTO and Back-End Developer
| Led up to 3 system engineers for the task of migrating the app into React.js. |
3Senior Data Engineer
| Refactored ETL process for Apple in-app purchases migrating a complex ElasticSearch + Python API architecture to a more straightforward PySpark job, reducing the infrastructure costs by $55K annually. |
45Statistical Analyst
| Implemented better statistical practices among the different dependencies of the mayoralty. |
17Data Scientist and Sr. Commercial Intelligence Analyst
| Build an NLP model to identify Covid19 related comments in reservations, using Alteryx and NPL statistics (TF-IDF). This allowed the business to quantify the impact of the pandemic by understanding why the customers were being denied the boarding stage. |
1Machine Learning Engineer
| Developed a debt collection platform that helps organize the operations day-to-day workload management process. The platform captures structured information with Numpy, Pandas, and Pydantic, creates machine learning models with Scikit-learn, XGBoost (F1> 70-95%), and deploys them using FastAPI, Docker, AWS S3, Boto3, and AWS ECS, creating process logs to be used by retraining model processes and for BI analysis. |
6Senior Business Intelligence Developer
| Developed ELT pipelines to load data from providers and transactional systems to the data warehouse using Teradata, SQL Server and SQL. |
22Operations Maintenance Engineer
| Led the design and development of a predictive maintenance model applying machine learning |
5BI Engineer
| Implemented AI + RPA models in Pytorch and Selenium to develop new prototypes for marketing intelligence strategies oriented to specific areas such as: real estate, clothes. |
6Senior Business Intelligence Developer
| Lead Programmers in the implementation of ETL processes for the Frequent Flyer Program Project at Copa Airlines. |
4Data Scientist
| Contributed to the development of financial transactions data pipelines for consumer-facing applications developed for the digital transformation lab arm of the largest financial group owner of 4 banks in Colombia. |
1Machine Learning Engineer
| Developed a data product to capture customer experience and maximize client emotional attachment. For the NLUmodel modelation was used Pytorch, HuggingFace, and Cloud Compute. The backend and model deployment was developed using Google Cloud Functions, Google Cloud Run, Google PubSub, GitGitHub, Github actions, Terraform, and Docker. |
6Senior Business Intelligence Developer
| Coordinated, plan and supervise tasks assigned to junior programmers. |
48Final Thesis Project
| Implemented an LSTM model that observes dance sequences and predicts the next position. |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.