Valentino Muchino Email & Phone Number

San Juan, Ar

Estados Unidos

➥ Enhanced and maintained existing SQL data pipelines to improve data flow efficiency, reduce latency, and ensure data integrity.➥Developed a Python-based automated email pipeline, streamlining communication processes, reducing manual tasks, and enhancing operational efficiency.➥Migrated outdated data systems to Azure Databricks, significantly improving scalability, processing speed, and data management capabilities.➥Architected and implemented a robust data warehouse in Azure Databricks using the medallion architecture and Delta Lake framework, providing a scalable and reliable foundation for data storage.➥Designed and developed reports with complex transformations for the data analysts team, enabling them to derive actionable insights and make data-driven decisions.

Argentina

➥ Developed Python applications, leveraging APIs, to conduct in-depth analyses of the stock market and various economic indicators. Integrated an interactive visual interface using Streamlit for an enhanced user experience. Implemented rigorous unit and integration tests to ensure the application's reliability and accuracy.➥ Engineered an innovative solution for automated resume management within the HR department. Utilized Apache Airflow for task orchestration, creating a seamless workflow. Tasks included monitoring new curriculum submissions from potential applicants, storing them in Azure Blob Storage, updating Azure SQL Database with current CV status, and forwarding them to an API Endpoint. This endpoint served as input for an OCR model developed by the MLOps team in Azure, streamlining the recruitment process.➥ Collaborated seamlessly with international teams, addressing the data science team's needs by creating simplified views of complex tables and queries on Databricks. Demonstrated adaptability and proficiency in delivering tailored solutions to meet diverse requirements.➥ Implemented maintenance and simplification measures for existing code, particularly Airflow DAGs. Achieved this through strategic parameterization and a scalable design, ensuring long-term efficiency and manageability.

Argentina

➥ Guided and mentored students as a Data Tutor in online classes at Coderhouse, focusing on the principles of data analytics➥ Helped students build their projects and evaluated their progress to achieve high-quality results. These projects centered around data modeling within SQL Server and the compelling presentation of insights through PowerBI dashboards.

Argentina

➥ Evaluated Python code with a focus on exploratory data analysis (EDA) using Pandas, Matplotlib, and Seaborn, ensuring a high standard of coding proficiency and analytical skills.➥ Conducted live presentations to assess students' storytelling abilities, emphasizing their talent in presenting PowerBI dashboards.➥ Qualify a holistic evaluation, considering the quality of Python code, storytelling effectiveness, and the visual impact of the presented dashboards.

Argentina

➥ Increased the accuracy of a machine learning linear regression model by an impressive 34.3% in a real estate project, enhancing the prediction of property prices. Achieved by integrating datasets from 15+ diverse sources, resulting in a more robust and precise model.➥ Conducted comprehensive functional and business analyses of the company's top three clients at Taligent. Formulated and presented personalized analytical solutions tailored to each client's specific needs, fostering stronger client relationships and enhancing the overall business strategy.➥ Demonstrated effective problem-solving skills by detecting vulnerabilities in a web application within 24 hours. Implemented security measures against DDoS attacks by proposing a strategic AWS cloud architecture, fortifying the system and ensuring a resilient defense against potential threats.

Argentina

➥ Python Programming: - Control flows, iterators, and iterables. - Classes and Object-Oriented Programming (OOP). - Variable creation, data types, and operators. - Error handling.➥ Version Control with GIT: - Forking, repository cloning. - Version control, working branches. - Basic commands: status, add, commit, push, and pull.➥ Introduction to Computing and Circuits: - Computational thinking. - Basics of Computer Science. - Electric circuits, Half Adder. - Number systems.➥ Python Libraries: - Numpy: Working with arrays, matrices, statistics. - Pandas: Manipulation of data types, series, DataFrames. - Matplotlib and Seaborn: Data visualization. - Streamlit: Creating interactive dashboards.➥ Data Structures and Algorithms: - Stacks, queues, linked lists, hash tables. - Sorting and searching algorithms. - Recursion and graphs.➥ Databases and SQL: - Database management. - Query optimization and index application. - SQL Joins, SQL Union, subqueries. - DML-ORM: Interaction with databases.➥ Data Processing: - ETL (Extraction, Transformation, and Loading). - Big Data (Hadoop Frameworks), Apache Spark. - Batch vs Streaming processing. - NoSQL: Concepts and types of database engines.➥ Data Quality and Preparation: - Data Description: Data quality criteria. - Data Cleansing: Cleaning, handling missing values, and normalization.➥ Machine Learning: - Feature engineering and Feature Selection. - Regression, classification, supervised and unsupervised models. - Model performance evaluation. - Neural networks.➥. Reporting and Visualization: - Reports and dashboards with Power BI and DAX. - Visualization with charts, maps, and other techniques. - Storytelling: Oral expression skills.

Data Science

Computational Science

Técnico Constructor