Julio Rodriguez

JULIO RODRIGUEZ Results-oriented Data Scientist, Machine Learning Engineer, and Full Stack Web Engineer in Training with extensive expertise in AI model development, data analytics, and machine learning techniques. Proficient in analyzing large datasets, building predictive models, and deploying machine learning algorithms. I am advancing my skills in full stack web development, working with both front-end and back-end technologies to build scalable, data-driven applications. I possess a deep technical knowledge in AI/ML, data engineering, cloud computing, and software development, with a focus on delivering innovative and highperformance solutions. Adept at designing and managing end-to-end data pipelines, automating workflows, and integrating machine learning into production systems. With a strong foundation in data processing, cloud infrastructure, and full-stack development, I aim to continuously expand my expertise to stay at the forefront of cutting-edge technologies. Key Skills & Technologies Data Science & Analytics • • • • • • • • • • Programming Languages: Python, R, SQL, Scala Data Manipulation & Processing: pandas, NumPy, Dask, PySpark, Apache Spark Data Visualization: Matplotlib, Seaborn, Plotly, Power BI, Tableau, ggplot2 Statistical Analysis & Modeling: Regression, Classification, Clustering, Time Series Analysis, A/B Testing, Hypothesis Testing Machine Learning Frameworks: Scikit-learn, TensorFlow, Keras, PyTorch, XGBoost, LightGBM NLP & Deep Learning: spaCy, Hugging Face, NLTK, BERT, GPT models, LSTMs, RNNs, CNNs Big Data Technologies: Hadoop, Apache Hive, SparkSQL, Kafka Data Wrangling & Cleaning: Feature engineering, imputation techniques, outlier detection, scaling, encoding Model Deployment & MLOps: Docker, Flask, FastAPI, Kubernetes, MLflow, TensorFlow Serving Data Pipelines & ETL: Airflow, Apache Beam, Luigi, Kafka Streams Data Engineering • • ETL & Data Integration: Building automated data pipelines, batch processing, real-time streaming Data Storage & Databases: MySQL, PostgreSQL, MongoDB, Cassandra, Redis, HDFS, Amazon Redshift, Google BigQuery • • • Cloud Platforms & Tools: AWS (S3, EC2, Lambda, RDS), Microsoft Azure (Synapse, Data Lake, Data Factory), Google Cloud Platform (BigQuery, Cloud Storage) Data Warehousing: Snowflake, Redshift, Google BigQuery, Azure Synapse Analytics Version Control & CI/CD: Git, GitHub, GitLab, Jenkins, Travis CI, CircleCI AI & Machine Learning Engineering • • • • • Machine Learning Algorithms: Supervised and unsupervised learning (Random Forests, SVM, KNN, K-means), Reinforcement Learning, Neural Networks AI Model Development: Hyperparameter tuning, cross-validation, model evaluation (precision, recall, F1, AUC-ROC) Natural Language Processing (NLP): Text preprocessing, tokenization, sentiment analysis, machine translation, sequence-to-sequence models Optimization: Gradient descent, backpropagation, regularization, Bayesian optimization Model Interpretability: SHAP, LIME, feature importance, Explainable AI Software Engineering (In Training) • • • • • • Frontend Development: HTML5, CSS3, JavaScript, React, Angular, Vue.js, Bootstrap Backend Development: Node.js, Express.js, Flask, Django, FastAPI Full Stack Development: MERN/MEAN stack (MongoDB, Express.js, React/Angular, Node.js) Web Frameworks & APIs: RESTful APIs, GraphQL, JWT, OAuth Version Control: Git, GitHub, Bitbucket Testing & Debugging: Jest, Mocha, Selenium, PyTest, JUnit Full Stack Web Development (In Training) • • • • • Front-end Development: Responsive design, JavaScript ES6+, TypeScript, Webpack, CSS preprocessors (Sass, Less) Back-end Development: REST APIs, GraphQL, server-side rendering, asynchronous programming (Node.js, Express) Databases: MongoDB, MySQL, PostgreSQL, SQLite, Firebase Deployment & DevOps: Docker, Kubernetes, NGINX, Heroku, Netlify, Vercel, AWS Amplify Cloud Computing & Infrastructure: AWS, GCP, Azure, Serverless architecture General Skills • • • • Agile Methodologies & Project Management: Scrum, Kanban, Jira, Trello Version Control & Collaboration: Git, GitHub, GitLab, Bitbucket Collaboration & Workflow Tools: Confluence, Slack, MS Teams Data Engineering Tools: Data pipeline creation, orchestration with Apache Airflow, ELT workflows with dbt, and integration with cloud services • Data Analysis & Visualization: Business Intelligence dashboards with Power BI, Tableau, and custom analytics apps built with Dash or Streamlit Work Experience CEC Gym (Centro de Entrenamiento Consciente) Strength and Conditioning Coach/Head Performance Analyst February 2019 - November 2019 • • • • Led performance analysis and strength training initiatives to enhance athlete performance, utilizing Python, R, and data visualization tools like Tableau and Power BI. Developed and implemented key performance indicators (KPIs) for individual and team assessments and tailored conditioning programs. Conducted video analysis with Hudl and SportsCode to evaluate technical and tactical performance, collaborating with coaching staff to integrate data-driven insights. Implemented injury prevention and rehabilitation protocols, ensuring a comprehensive approach to athlete health and performance. Optimus Gym Physical and Mental Training Head of Performance Analysis November 2020 - August 2022 • • • Directed performance analysis to boost athlete performance, leveraging tools like Python, R, Tableau, and Power BI for data transformation. Established KPIs and performed in-depth video analysis to identify strengths and areas for improvement. Collaborated with coaches to integrate insights into training programs and prepared performance reports to support informed decision-making. Metropolis Futsal Head of Performance Analysis and Strength Conditioning March 2022 - February 2023 • • • Enhanced athlete performance through data analysis and tailored strength training programs, utilizing Python, R, and data visualization tools. Developed KPIs and conducted video analysis to support technical and tactical evaluations. Collaborated with coaching staff to integrate findings into training strategies and implemented injury prevention protocols. VO2Max Physical and Sports Training Center Head of Performance Analysis August 2022 - June 2023 • • • Led efforts to enhance athlete performance through data collection and analysis, using tools like Python, R, Tableau, and Power BI. Established KPIs and conducted comprehensive video analyses, working closely with coaches to adapt training programs based on insights. Prepared detailed performance reports and stayed updated on advancements in sports analytics. Outlier AI/Scale AI – Freelance Talent Store: AI Coders - Training AI Models SCA061 October 2024 – Present • • • Train and fine-tune AI models to ensure high-quality performance metrics, utilizing large language models (LLMs) for enhanced accuracy. Develop and refine prompts, evaluate model outputs, and implement feedback for continuous improvement. Collaborate with team members to troubleshoot issues and align AI systems with project goals and client specifications. G2AI - Freelancer Software Engineer – AI Training Data October 2024- Present Responsibilities: • • • • • • Evaluated and enhanced the quality of AI-generated code, providing detailed feedback and human-readable rationales for model improvements. Solved diverse and complex coding challenges across various programming languages, ensuring solutions were functional, efficient, and met project specifications. Developed robust test cases to validate the performance, accuracy, and efficiency of code produced by AI models. Created and refined instructions and guidelines to assist model training and improve overall performance in code generation tasks. Collaborated with AI models to solve programming problems, optimize chatbot responses, and improve end-to-end AI solutions for software applications. Engaged in model evaluation by comparing multiple solutions, determining the best coding practices, and implementing improvements to AI learning. Technologies & Tools: • • • • • • Programming languages: Python, Java, JavaScript, C++, and other commonly used languages. Code version control: Git, GitHub, GitLab. Software development methodologies: Test-driven development (TDD), Agile. AI and machine learning: Familiarity with Large Language Models (LLMs) and natural language processing (NLP). Cloud platforms and tools: Experience with cloud-based environments and API integrations. Code review and testing frameworks: PyTest, JUnit, Mocha, and similar. Key Contributions: • • Played an integral role in improving AI model performance for code generation and testing. Delivered accurate code evaluation and feedback that contributed to the refinement of cutting-edge generative AI models. Education: Escuela de Comercio N°18 "Gral. Don José de San Martín" 2011 - 2015 High School Diploma in Exact Sciences with an Emphasis in Economics Universidad Catolica de Cordoba 2021 Higher Degree/ Associate Degree Diploma in Evaluation and Presctiption of Physical Training National University of San Luis 2023 - 2028 Bachelor of Data Analysis and Management Complementary Education: • Codecademy: o Data Scientist: Analytics Specialist Career Path (October 2023 – July 2024) o Business Intelligence Data Analyst (October 2023 – July 2024) o Data Scientist: Inference Specialist Career Path (October 2023 – August 2024) o Data Scientist: Natural Language Processing Specialist Career Path (October 2023 – September 2024) o Data Scientist: Machine Learning Specialist Career Path (October 2023 – September 2024) o Data Engineer Career Path (October 2023 – September 2024) o o o o o o Software Design Principles (October 2023 – September 2024) Software Engineering for Data Scientists (October 2023 – September 2024) Software Engineering in Python (October 2023 – September 2024) Full Stack Engineer Career Path (October 2023 – Ongoing) iOS Developer (October 2023 – Ongoing) Computer Science Career Path (October 2023 – Ongoing) Contact: LinkedIn: Julio Rodriguez Email:- Portfolio: GitHub: GitHub Profile