Nicolas Coronel

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About Me

I am currently working at a startup as an SDR, learning and taking on more responsibilities. My profile is focused on roles in Data Science, Machine Learning (ML), and Large Language Models (LLM), as well as Data Analysis. My goal is to leverage my diverse skills and experiences to drive success in an innovative company.

As a professional with a strong background in both sports and technology, I bring a blend of discipline, teamwork, and analytical skills. With over a decade of experience in professional rugby, I’ve honed my ability to work effectively within a team environment, adapting to diverse challenges and consistently delivering results. I’m proficient in three languages: Italian, English, and Spanish, enabling seamless communication and collaboration with international teams. I’m a highly motivated and positive individual, always eager to learn and grow.

Skills

Professional Skills: Python, SQL, AWS, PowerBI, ML, LLM

Education

Work Experience

SDR-Account Executive @ Betterplace , Oviedo (2024)

Real Estate @ Tecnocasa, Madrid (2023 - 2024)

Administrative Assistant @ Rivadavia Seguros, Argentina (2022 - 2023)

Personal Trainer @ Elite Round Club, Roma (2018 - 2020)

Pro Rugby Player @ Many Clubs, Italy-England-Spain-Poland (2013 - 2023)

Projects

Wayness Start-up: Balancing Duty and Pleasure

We are a new start-up focused on creating motivation to achieve the right balance between duty and pleasure, responsibility and hobbies, thereby improving people’s quality of life.

We strongly believe that a proper balance between physical, mental, and emotional health is essential for happiness and productivity. Our goal is to develop an app that, through a point system and appropriate incentives, encourages users to engage in physical activity.

web

Machine Learning: Points and Effort

Description: This application aims to motivate people to exercise through a point-based reward system.

Features:

Technologies:

Requirements:

Usage Instructions:

  1. Create or log into your user account.
  2. Activate your device’s motion sensor.
  3. Start exercising.
  4. The app will track your activity and display earned points.
  5. Access the rewards market to redeem your points.

Contributions: Contribute by:

app

Virtual Assistant Chatbot in Streamlit

This project showcases a virtual assistant chatbot developed using Streamlit and PostgreSQL, designed to answer queries and store conversations in a database.

Key Features:

Project Structure: Includes essential files like app.py, chatbot.py, and intents.json, along with a trained model stored in modelos entrenados/.

Run Locally: Clone the repo, set up a virtual environment, install dependencies, and run with streamlit run app.py.

Chaty

Data Visualization Project with Streamlit

This project uses Streamlit to create interactive charts based on data from a PostgreSQL database deployed on Render. It includes visualizations for frequently asked questions, message origins, and popular destinations.

Features:

Setup:

  1. Clone the repo: 
     git clone https://github.com/nicoDataCreator/dashboard.git
 cd dashboard
  2. Create and activate a virtual environment: 
     python -m venv env
 source env/bin/activate  # On Windows use `env\Scripts\activate`
  3. Install dependencies: 
     pip install -r requirements.txt

Environment Variables: Create a .env file:

my_database=tu_base_de_datos
my_host=tu_host
my_password=tu_contraseña
my_port=tu_puerto
my_user=tu_usuario

grafico

Map Visualization Application with Streamlit Using Folium

This application, developed with Streamlit, displays interactive maps highlighting locations of volunteer programs and campsites. Clicking on the flags at each location opens a link with more information.

Description: The application includes two main features:

Technologies Used:

map

Exploratory Data Analysis (EDA): Relationship Between Google Searches, Platforms, and Bitcoin Price

Introduction: This analysis explores the relationship between Google searches related to Bitcoin, platform activity, and Bitcoin prices over the past 10 years.

Approach:

Tools and Resources:

Steps:

  1. Data collection
  2. Data cleaning
  3. Exploratory data analysis
  4. Correlation analysis
  5. Visualization
  6. Regression analysis
  7. Interpretation of results

Objectives:

Conclusions and Recommendations: By the end of the analysis, we aim to better understand the dynamics between Google searches, platform activity, and Bitcoin prices.

eda

Battleship with Python

Building Battleship involved using several core Python skills:

-Variables and Data Types: I used variables to store game information like player boards, ship locations, and hit markers. I also experimented with different data types, such as strings and integers, to represent the various elements of the game.

-Control Flow: The game heavily relied on control flow statements like if and for loops. These allowed me to control the game’s flow, from setting up the boards to handling player turns and determining the winner.

-Functions: I broke down the game logic into smaller, reusable functions for actions like placing ships, attacking enemy positions, and checking for hits or misses. This modular approach made the code more organized and easier to understand.

-Basic Input and Output: Battleship required interaction with the user. I used Python’s input functions to accept player choices for ship placement and target coordinates. Additionally, I used print statements to display the game board, announce hits and misses, and provide feedback throughout the game.

While I focused on these core skills in Battleship, I understand that building more complex applications requires additional knowledge. I’m eager to learn more about:

-Object-Oriented Programming (OOP): This paradigm allows me to create reusable objects for different game components, enhancing code organization and maintainability.

-Data Structures and Algorithms: Learning efficient data structures like lists and dictionaries, along with algorithms for tasks like searching and sorting, will help me optimize future projects.

-GUI Development: Adding a graphical user interface to Battleship would significantly enhance the user experience. Exploring libraries like Pygame or Tkinter would be a great next step.

I’m confident that mastering these additional skills will enable me to create even more engaging and sophisticated Python applications in the future.

Battleship