labels
class label 7
classes | text
stringlengths 19
772
|
|---|---|
3Data Scientist
| Planned, designed and taught theoretical classes on discrete event simulation. |
0Data Engineer
| Designed a mobile application and developed banking services with a proprietary tool working over Node.js. |
0Data Engineer
| Implemented pipelines from a data warehouse and a data lake to feed information for dashboards and general reports. |
3Data Scientist
| Audited and monitored applications using Python and Shell Scripting. |
1Machine Learning Engineer
| Developed a loan default prediction model on a heavily imbalanced dataset using Tensorflow. Explained its predictions using SHAP and served it through a dockerized API on AWS. |
1Machine Learning Engineer
| Designed and implemented an end-to-end MLOps environment using TF Serving, DVC, MLFlow, LabelStudio, and custom apps written in Python, in order to build, evaluate, and deploy 10 different deep learning models for real-time monitoring of surveillance footage. |
1Machine Learning Engineer
| Created an ETL pipeline using NumPy, pandas, Boto3, and scikit-learn to clean and put tabular data in the appropriate ML format. The ETL pipeline loaded the data from an S3 bucket and dealt with problems such as missing values, correlated predictors, and the codification of |
3Data Scientist
| Created language transcriptions using Wav2Vec2 with HuggingFace, and improved them using n-gram language models. Used audio features of Wav2Vec2 for downstream audio classification tasks. |
1Machine Learning Engineer
| Helped teach the course Workshop IV (Analog Electronics) for the Engineering Physics bachelor. |
0Data Engineer
| Stack: Azure, Azure Machine Learning, Databricks, Spark, Synapse Analytics, Python, SQL Server, Git. |
3Data Scientist
| Developed the companys machine learning roadmap with the business intelligence team to identify how different areas of the company and customer data can be used to build solutions using machine learning models (product recommendation, customer segmentation, purchase probability and churn prediction) including the technologies and data to use. |
4MLOps
| Implemented a customer compliance model developed to collect data on creditors in order to automatically analyze the financial health of each business, predicting 30 days customer default. |
0Data Engineer
| Performed integration and batch processing tasks connected to the banking client’s backend (e.g. central bank information, credit card, auto-dialers, data warehouses) using SQL, SSIS, and scheduled jobs. |
3Data Scientist
| Led the development of a skill assessment platform to measure Factored employees’ technical knowledge. Features included questions view, creation, update, delete and test interfaces, and taking of available exams. Developed and deployed backend using Python and FastAPI in a Docker container; built frontend using React, and deployed to AWS ECS. Used AWS Cognito and API Gateway to manage authentication and authorization. |
2Data Analyst
| Identified data sources and developed ETL processes using Python and SQL. |
3Data Scientist
| Built name standardisation tool applying string-matching models, graph-based clusterization solutions, and multithreading and asynchronous (pool, asyncio) libraries for optimization using networkx, Scikit-Learn, third-party APIs and Python. This tool identifies and unifies company name variations in different databases to make aggregated calculations more robust and accessible for a world leading consulting firm. The tool was deployed using FastAPI. |
1Machine Learning Engineer
| Developed a computer vision model that receives both images and text, and retrieves 10 images similar to the input that was given; Also, managed the exploration, cleaning and loading of the datasets and images, as well as designed the frontend of the project on a EC2 instance using Streamlit. |
0Data Engineer
| Developed an ETL flow for the ingestion of data through the SQL Server Integration Services platform. |
0Data Engineer
| Retrieved data from REST APIs to generate automated reports using Python, AWS Lambda, Docker, AWS S3, AWS DynamoDB, AWS SNS, and AWS Step functions. |
0Data Engineer
| ToolsTechnologies: Java, Google IOT, Cloud Functions, Bigquery, GCS, Dataproc, Spark. |
0Data Engineer
| Designed and built a data warehouse following Kimball’s data modeling technique and the modular data modeling technique using DBT. |
5Analytics Engineer
| Developed an AWS MLOPS framework to classify products according to clients’ behavior using Python, AWS Sagemaker, AWS S3, AWS Glue, AWS Lambda, AWS SNS, AWS Parameter Store, AWS CDK, and AWS MLOPS methodology. |
0Data Engineer
| Designed and developed a cloud-native ETL process for ingesting, processing, and monitoring worker health data during Covid-19 for one of Colombia’s largest insurance providers. Built solution using Python, Power BI, Dataiku, and BigQuery. |
0Data Engineer
| Led a group of undergraduate students developing an algorithm used to identify the optimum infrastructure for charging stations used to charge a fleet of hybrid motorcycles. |
0Data Engineer
| Consumed and transformed streaming data to produce aggregated statistics, store data, and create real-time dashboards using Python, AWS Kinesis, AWS S3, and Splunk. |
1Machine Learning Engineer
| Developed an application to help improve the quality of a question for Stack Exchange using Pytorch with HuggingFace, FastAPI for the backend and Streamlit for the frontend. |
2Data Analyst
| Organized, updated, and informed project timelines, OKRs and KPIs. |
1Machine Learning Engineer
| Developed the CICD using Github Actions for a set of computer vision models used by a fashion company for their garment try-on application. |
0Data Engineer
| Assisted the implementation of SAP BusinessObjects Business Intelligence Platform and SAP Business Warehouse for a building company. |
1Machine Learning Engineer
| Tools: Python, SQL, PostgreSQL, MySQL, SQL Server, Teradata, DB2 |
3Data Scientist
| Implemented forum questions classifier using a BERT transformer and an explainability framework built upon LIME. Served explained predictions through a dockerized API deployed in AWS. |
0Data Engineer
| Administered functional and technical SAP BW warehouse for one for a social wellness organization for employees in Colombia. |
0Data Engineer
| Implemented Lambda functions to schedule scripts that need to get or receive data and make light processing (asynchronous ETLlike scripts outside airflow instance), consume Kinesis data streams to persist data into S3 buckets, and migrate to Kinesis Firehose to provide a simple and efficient system. |
2Data Analyst
| Created visualizations to show data behavior using tools such as Tableau and Chart-JS. |
0Data Engineer
| Managed and developed multiple Direct Acyclic Graphs (DAG) projects in Apache Airflow, enabling efficient workflow automation and ensured optimal performance and reliability of data pipelines for the social media network. |
1Machine Learning Engineer
| Designed a data pipeline using Python, Bash and dockerized models that would prepare and transform raw images obtained from the web into the necessary inputs for the try-on models and wrap them in the web dataset format for optimal training. The support for this format was also implemented into the models used for virtual try-on. |
0Data Engineer
| Designed test cases in Zephyr and automated tests with Cypress to test compensation software. |
0Data Engineer
| Worked as data engineer using GCP Data platform to ingest cities information on data lake with scraping techniques, create data pipeline to clean, prepare and store data on Bigquery and GCS, create data mart and consume data with Cloud run functions. |
1Machine Learning Engineer
| Performed investment portfolio analysis and valuation over 10 different new international financial markets. |
5Analytics Engineer
| Collaborate with team members to collect business requirements and design data models. |
2Data Analyst
| Refactor dashboards to enable better user interfaces and visualization techniques. |
0Data Engineer
| Designed data quality processes, defined business and data quality rules, and automated data reading, validation, and publication across the data catalog. |
1Machine Learning Engineer
| Led the architecture and development of Big Data, data science, and data engineering projects, architecting on-premises and cloud solutions with cloud and open-source tools. |
0Data Engineer
| Developed and implemented a customer churn model, based on the RFM-TC model, which reduced customer churn from 30% to 19%. |
0Data Engineer
| Created automated data quality dashboards in Tableau describing quality dimensions (e.g. completeness, uniqueness, accuracy, timeliness) for business users. |
3Data Scientist
| Deployed and put into production ML models such as classification, and regression models using Flask and managed end-to-end ML cycles using Kubeflow for one of the leading retirement funds in Colombia. |
4MLOps
| Developed RPA solutions using Automation Anywhere and SQL Server to support back-office operations. |
0Data Engineer
| Built and deployed data infrastructure in partnership with DevOps team and decoupled the transactional layer from the analytical layer in collaboration with a software architect. |
1Machine Learning Engineer
| The purpose of this app was to showcase a possible usage of blockchain for a social app. |
1Machine Learning Engineer
| Processed survey data applying clusterization, sentiment analysis, linear regression, correlation and descriptive statistics using Excel, R, SPSS to generate insights that allowed the management teams to improve profiling, brand placement and customer satisfaction. |
2Data Analyst
| Collaborated with the IT department in the implementation of restrictive list management software, defining its functional specifications and administering it. |
3Data Scientist
| Developed ML models such as classification, and clustering using Python, Tensorflow, Keras, Scikit-learn, Pandas, and Numpy to solve and optimize internal operations and processes. |
1Machine Learning Engineer
| Integrated ETL data pipelines and introduced DataFlow to improved monitoring using Cloud Monitoring and introduced Tableau to. Enabled increases in data ingestion speed by 15%. |
1Machine Learning Engineer
| Built and iterated different models such as STL, S-H-ESD, ARIMA, K-means, Isolated Forest and statistical tests for time series using SciPy and Scikit-Learn to select the best model that meets the requirements. Results were shown in Mathplot and Seaborn dashboards. |
0Data Engineer
| Designed, built, implemented, and maintained the backend infrastructure of web and mobile applications using MS Azure services. |
2Data Analyst
| Created and designed a Tableau dashboard for the sales department with 12 key metrics and detailed analysis of results on different channels and clients. |
0Data Engineer
| Administered and managed Linux, AIX and Windows servers where SAP BusinessObjects portfolio products like Data Services (BODS), Business Intelligence Platform (BIP) and Profitability and Cost Management (PCM) are deployed for IBM Colombia. |
3Data Scientist
| Classified Alzheimer’s patients extracting data from the Dementia Bank dataset using Word2vec, TF-IDF, and grammatical features. |
1Machine Learning Engineer
| Implemented unsupervised methods for outlier detection and semi-supervised classification. |
0Data Engineer
| Implemented ETLs on Azure Data Factory, and performed database model building, BI reporting, and predictive analysis. |
3Data Scientist
| Built time series forecasting using TensorFlow and PyTorch to make scientific predictions based on historical inventory data for the replenishment of 400k SKUs of the 1 marketplace in Latin America and one of the top 10 most visited e-commerce websites in the world. |
3Data Scientist
| Designed and deployed a gradient boosting model using XGBoost to predict users’ payment behavior enabling the sales department of one of the biggest oil and gas companies in Colombia to develop payment incentive programs. Decrease by 10% the number of users in arrears. |
1Machine Learning Engineer
| Created and deployed a time series forecasting model using Python, AWS, Docker and Airflow to predict manufacturing demand for office furniture, equipment, and home furnishings, and allow factory floor managers to make decisions regarding staff and shift numbers and availability up to 4 weeks in advance. Improved factory staff deployment and shift planning. |
0Data Engineer
| Developed and implemented pricing proposals models using Jupyter Notebooks, Pandas, Scikit-learn, PrestoSQL, DBT and applying statistical methods such as Kmeans and clustering to optimize the launching of two new line services for one of the most used taxiride-hailing mobile apps in Colombia. |
0Data Engineer
| Designed business intelligence models for companies throughout Central America and the Caribbean. |
2Data Analyst
| Developed, improved, and implemented descriptive and predictive models using SQL and Python. |
0Data Engineer
| Implemented data warehouse models. |
2Data Analyst
| Assessed daily Ad Hoc data analysis in Excel to ensure profit and loss efficiency within ongoing and potential software development and implementation projects, forecasting financial results for the entire projects lifetime and analyzing deviations. |
0Data Engineer
| Created a repository with Python objects to build ETL pipelines and thaht helped other analyst to learn how to build ETL pipelines. |
1Machine Learning Engineer
| Development of web apps using Angular - Python stack. |
1Machine Learning Engineer
| Audited software development in Python and Linux Shell. |
3Data Scientist
| Implemented a text mining technique to identify emotion recognition using NLP and asynchronous non-intrusive multi-modal analysis of bio-signals that enabled the evaluation of the neurological state of Parkinsons patients. It included speech features, Bag-of-Words, TF-IDF, and Wor2vec features. The objective was to classify healthy patients. |
0Data Engineer
| Coordinated with Data Owners to ensure the quality of metadata uploaded to the Alation Data Governance platform. |
0Data Engineer
| Deployed and implemented promotional and planning product solutions through Oracle and Unix platforms to improve campaign management and performance for marketing and sales teams. Scope included business needs understanding, requirements gathering for IT departments, and architecture design and provisioning. |
1Machine Learning Engineer
| Created and implemented machine learning models to predict client’s payment behavior and compensation. |
2Data Analyst
| Supported the implementation and operational assembly of projects for a new credit card product and with incident management. |
1Machine Learning Engineer
| Used convolutional neural networks for human pose estimation to support physiotherapy sessions. The model was deployed for real-time edge inference in both web and mobile applications using TensorflowJS (Javascript) and TFLite (Kotlin). |
1Machine Learning Engineer
| Implemented lean methodologies in assembly and manufacturing companies. |
0Data Engineer
| Participated in the Launchbox program (now Firestarter) at Purdue Foundry, the university accelerator. |
0Data Engineer
| Created ETL pipeline in Azure Data Factory to extract user business data from Blackboard LMS, verify data quality, and format data for storage in an Azure Data lake. |
1Machine Learning Engineer
| Hosted the solution within a GCP Kubernetes Cluster, automated deployment process using Jenkins and Artifacts Registry solutions, and built main codebase and structures using OOP to optimize performance over large amounts of data transformations. |
6Software Engineer
| Worked on different Machine Learning projects with an emphasis on word embeddings, and high dimensional representations of corpus for different NLP tasks. |
4MLOps
| Brazil. Developing fixes, improving business logic, introducing new technologies and profiling servers to |
0Data Engineer
| Analyzed, designed, developed and implemented a hazardous materials management solution used in the company using ASP and SQL Server (Intranet) technologies. |
0Data Engineer
| Analyzed, designed and implemented an automated business solution for the management of visitors to the plant, allowing time and activity control thereof using BPM Metastorm and SQL Server. |
0Data Engineer
| Developed a credit risk model using Python, Pyspark and R. |
1Machine Learning Engineer
| Developed, validated and deployed a new rank ordering credit risk model using an ensemble between LightGBM and attention-based transformers for a fintech company that aims to facilitate fair and clear access to credit. The new model resulted in a 25% increase in Lifetime Customer Value with a 13% higher approval rate. |
0Data Engineer
| Implemented Proofs of Concept (POCs) following the Data Mesh paradigm using Apache Airflow, Apache Spark and AWS EMR. |
0Data Engineer
| Participated in the creation of Workflows for Github repositories and CICD Pipelines. |
1Machine Learning Engineer
| Developed web scrapers for fashion websites using Python to facilitate the acquisition of new data for training state-of-the-art generative models. |
2Data Analyst
| Led a pharmaceutical project, reducing sales team operations’ costs by 30% compared to the last fiscal year. |
0Data Engineer
| Implemented a chatbot using DialogFlow capable of answering common questions of a call center. |
0Data Engineer
| Managed the research and development of data-driven tools in Dataiku and Google Cloud Platform. |
2Data Analyst
| Collaborated with multiple teams across retail to lead the development and implementation of a SalesForce based CRM tool for the management of co-marketing activities. |
0Data Engineer
| Designed and developed a metadata framework using Databricks Delta Live Tables to allow users of a Fortune 500 consulting company to create data pipelines following a configuration-driven approach. The framework supported streaming and batch processing, ingesting data from multiple data sources (including Kafka, text files, JDBC connections), real-time data quality expectations, SQL-based transformations, and a plugin environment to add custom code, allowing to process over 1000 tables in 1 month. This work led to an invitation by Databricks to become a Databricks Solutions Architect Champion. |
1Machine Learning Engineer
| Applied text classification and NER (Named Entity Recognition) algorithms to analyze petitionscomplaintsclaims (PCCs) tickets from a utility’s CRM database. The solution was implemented with the Rasa framework using a NLU (Natural Language Understanding) pipeline and led to 30% reduction in unanswered PCCs and legal claims. |
1Machine Learning Engineer
| Implemented a software tool using Matlab to visualize and evaluate data from a railway sensor device (Axle Counter BROS) for the development of safety integrity level control algorithms for railway traffic lights. |
0Data Engineer
| Designed an integrated master data management system using Talend Suite (Data prep, ETL, Cloud) to enable a gas and oil company to handle change capture strategy (CDC, SCD). |
1Machine Learning Engineer
| Implemented a back-end application to detect possible loan defaults applying gradient-boosting models. Deployed the app using Docker with AWS ECR and AWS Lambda. Used Shap values to explain and analyze the impact of the different features on the predictions. |
0Data Engineer
| Leveraged Python, Spark, and Glue to manipulate data across data lakes. |
End of preview. Expand
in Dataset Viewer.
- Downloads last month
- 51