I am an enthusiastic and dedicated junior Data Scientist with experience in data analysis, data engineering, and machine learning. I recently completed my Data Science bootcamp at Soy Henry, where I developed practical skills through challenging projects.

🎓 Education:
- Introduction to Programming - Egg Live
- #SeProgramar at Argentina Programa
- Data Science Bootcamp at Soy Henry

🌟 Skills:
- Languages: Python, SQL
- Tools: Power BI, Google Cloud Platform, Git, GitHub
- Soft Skills: Teamwork, Problem-solving, Effective communication, Analytical thinking

🌱 Currently learning:
- Developing data pipelines in the cloud
- Big Data and Data Analytics at Codo a Codo Bs As

💼 Seeking opportunities:

I am a passionate and dedicated junior professional seeking roles as a data analyst, data engineer, or data scientist. With hands-on experience in ETL processes, data analysis, and machine learning operations, I am eager to apply my skills to solve real-world problems and drive data-driven solutions.

💼 What I Offer:

• Technical Skills: Proficient in Python, SQL, and data visualization tools (Power BI, Matplotlib, Seaborn). Experienced in implementing ETL pipelines and conducting exploratory data analysis (EDA).
• Machine Learning: Skilled in developing and deploying machine learning models, including sentiment analysis and recommendation systems using tools like Scikit-learn and FastAPI.
• Cloud Services: Hands-on experience with Google Cloud Services and deploying solutions using Google Cloud Functions and BigQuery.
• Collaboration: Strong team player with excellent communication skills, ready to collaborate in dynamic and cross-functional teams.

💼 My Contributions:

• Data Analysis Projects: Successfully analyzed traffic accident data in Buenos Aires, providing actionable insights to improve road safety.
• Recommendation Systems: Developed a recommendation system for Steam users, enhancing user experience by suggesting games based on preferences and reviews..

Contact me:

Email: bautiarmani@gmail.com

Here are some of my featured projects:

Individual Project N2 - Traffic Accidents

• Traffic Safety Armani - TSA

• 🚗 Description: Comprehensive analysis of data related to homicides in traffic accidents in Buenos Aires during 2016-2021. The goal is to generate useful information for local authorities to implement measures to reduce fatal traffic accidents.

• 🔧 Methodology and Tools:

  • 📦 ETL: Data collection, cleaning, and loading from XLSX files provided by the Buenos Aires Transportation Secretariat.
  • 🔍 Exploratory Data Analysis (EDA): Identifying patterns and trends.
  • 📊 Visualization: Matplotlib, Seaborn, Power BI.
  • 🐍 Programming Languages: Python.
  • 🛠 Analysis Tools: Pandas, NumPy.

• 🔗 Repository: Traffic Accidents BA

Steam Games Machine Learning Operations + FastAPI

• 🎮 Description: Development of a video game recommendation system for Steam users, using ETL for data cleaning and preparation, and an API developed with FastAPI to provide access to the results.

• 🎯 Objectives:

  • 🛠 Data Engineer: Perform ETL and feature engineering to prepare the data.
  • 🌐 API: Provide access to results through endpoints developed with FastAPI.
  • 🤖 Machine Learning Operations: Implement a video game recommendation system based on user-item relationships, using SVD (Singular Value Decomposition).

• 🔧 Methodology and Tools:

  • 📦 ETL: Data extraction, transformation, and loading from JSON files.
  • 🔄 Feature Engineering: Sentiment analysis on user reviews.
  • 🌐 API: Developed with FastAPI, with endpoints to access information.
  • 🤖 Machine Learning: Recommendation model based on SVD.
  • 🐍 Programming Languages: Python.
  • 🛠 Analysis Tools: Pandas, NumPy.
  • 🚀 Deployment: Render for automatic deployment from GitHub.

• 🔗 Repository: Steam Games Machine Learning