I'm
Jose Maria Lozano Olmedo
I'm a
"The only place where success comes before work is in the dictionary."
Vidal Sassoon
I'm a Software Engineer graduated at University of Valladolid. I have studied a Computer Science degree specialized in Software Engineering.
I'm specialized in Data Science because It's an area that is currently growing a lot accompanied by Artificial Intelligence, Machine Learning, Deep Learning and BigData. I like these areas that are responsible for drawing conclusions from the data to improve any aspect. I also like Fullstack Development.
Hard work, effort, good attitude and commitment are some of my principles. I'm always trying to improve my knowledges and learning new abilities.
I have learned many useful knowledges about Software Engineering at University and I have learned some skills on my own self-taught.
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Here are my main educational milestones. However, I'm always in constant training and I always like to learn new knowledge to continue growing.
The next objectives are some Machine Learning Certifications, C1 English, Scrum Master, AWS Certification and Google Cloud Certification.
Computer Science Degree specialized in Software Engineering
September 2019 - July 2023
I have learned different skills related to Software Development. Some of the most interesting subjects have been those related to Machine Learning techniques, Data Analysis, Mathematics, Statistics, Algorithms, Project Management and Requirements Capture.
Master in Computer Science
September 2023 - July 2024
This master focuses on more complex aspects of data science such as Deep Learning, BigData, Artificial Intelligence and Scalable Data Analysis Techniques as well as strategies for successful Project Management.
B2 English Level
April 2018
University of Oxford
This is my experience working. I’m continually looking to improve and to grow. I constantly looking for new challenges that helps me to improve my abilities.
I have trained my skills to learn fast new technologies and to adapt quickly to different environments.
I would like to continue gaining experience and to continue growing my contact network. Moreover, I would like to continue training my skills applying all the knowledges in different technologies that I have learned.
Indra Minsait
February 2023 - July 2023
Internship working as Software Engineer
Indra Minsait
July 2023 - July 2024
Software Engineer
My tasks are to carry out pre-production and production deployments, establish the structure and flow of an application with diagrams, manage and organize a small team with a Kanban board, constant communication with the client to improve the application, analyze the different information stored in a database and create scripts to generate organized data to build the application.
SEGULA Technologies
July 2024 - At the moment
Data Scientist
My tasks are to help in the analysis of the data obtained from Renault cars from different experiments to detect patterns and be able to justify the appropriate measures for their calibration.
University + Self-taught
1.
I have learned a lot at University in the Computer Science degree. I have obtained knowledges in many different areas like algorithms, data structures, testing and networks.
However, I have seen technologies that are a bit old and now they are not used by companies because this sector is progressing very fast. In addition, I have learned some technologies that have poor applicability nowadays. Some of these technologies are Prolog, Antlr, Haskell, Minix or Clips.
2.
3.
For this reason, I consider very important to continue expanding the knowledges learned at University because the main technologies requested by companies are not seen at University or they are seen slightly. Some of these technologies are Tensorflow, Keras, PowerBI or Tableau.
Working on your own projects creating your own applications, makes learning faster than only taking courses or seeing tutorials. Furthermore, helps to create interesting projects in which I show what I know to do. In addition, in these projects I apply all the abilities learned about Software Engineering at University to create good applications efficiently. Finally, I record a video showing the project.
4.
5.
Creating different projects with different new technologies helps me to train the ability to learn fast new technologies and helps me to train the ability to adapt to different environments.
In conclusion, I created my own self-taught bootcamp in which I have learned the main technologies used in Data Science, Machine Learning and Artificial Intelligence creating projects applying all the knowledge learned about them. On the other hand, I did the same with Fullstack Development.
6.
Self-taught
I try to improve myself learning the more important technologies that are actually asked by companies
University knowledges
I have learned many different knowledges about software development on the last four years
Clean code
I try to make programs that have a clean code, because programs not only have to work properly, They must be easy to understand and easy to maintain.
Efficiency and data structures
I'm concerned about the effiency of the programs and the use of memory. I know techniques about big O notation and algorithms and I apply it when I can. On the other hand, I use data structures to improve the velocity of the programs and how They use memory.
Techniques
I try to apply the knowledge learned as a software engineer such as design patters, refactoring, agile, scrum and test driven development.
Planification
I have learned the whole process to make a program, starting with capturing requirements, later making UML diagrams, making sketches, doing a planification of the structure and finally testing.
Soft skills
Moreover I'm concerned that soft skills are very important in this job so I have learned how to work in teams, I have improved my capacity to solve problems and I always have good communication with my teammates.
Work and effort
Patience, constancy, effort, perseverance, hard work, resilience and engagement are some adjectives that define me.
Here I mention the technologies with which I have worked in the area of Data Science and Fullstack Development.
The area I like the most is Data Science along with Machine Learning, BigData, Deep Learning, and Artificial Intelligence. I like these areas because through data analysis, they allow extracting conclusions that can improve many aspects, therefore, they have a great impact on society.
On the other hand, these areas, especially Artificial Intelligence, have had tremendous growth in recent years and are one of the areas that will grow the most in the future. In addition, these areas that are responsible for analyzing data are widely used in the sports that I like, such as football with LaLiga Beyond Stats or Formula 1 with F1 Insights from Amazon Web Services.
Data science
Python
R
PowerBi
Tableau
Keras
Tensorflow
Spark
Hadoop
PyTorch
Machine Learning
Models like SVM, Random Forest, Logistic Regression and K-means clustering.
BigData
Concepts like Data Lake, ETL, Data Wrangling and technologies like HBase, Hive.
Deep Learning
Concepts like Recurrent Neural Network, Convolutional Neural Network and Backpropagation.
Artificial Intelligence
Conceps like Q-Learning, Bellman Equation and Reinforcement Learning.
Fullstack development
Frontend
Angular
React
VueJS
NextJS
Tailwind
Bootstrap
SCSS
Backend
Spring Boot
PHP
NodeJS
ExpressJS
Django
.net
Laravel
Databases
MySQL
MongoDB
Firebase
Software development
UML diagrams
Scrum
Project management
Here I publish the projects that I have made. All this projects I have made it out of the University, applying all the technologies that I have learned by myself as self-taught.
However, this projects are not only Data Science or Web Development. I apply all the knowledges learned as Software Engineer at University to create better results and to make the process more efficient.
In conclusion, the mix of Software Engineering with Data Science or Fullstack Development helps to create stunning projects controlling time and effort.
Data Science Projects
Python analysis
This project contains files where different machine learning models are applied on multiple data sets. It is made with Python.
Analyzing datasets with Tableau
This project analyzes datasets and extracts valuable information from them. It is made with Tableau.
Analyzing datasets with R
This project analyzes datasets and shows the information in different graphs. It is made with R.
Animals photos classification
This project classifies the images of 8 different animals with a convolutional neural network. It is made with Python and FastAI.
Rented bike prediction
This project predicts the bikes rented with different LSTM. It is made with TensorFlow and Keras.
Weather image classification
This project classifies weather images of 11 different types with a convolutional neural network. It is made with TensorFlow, Keras, Pytorch and FastAI.
Analysis of census income dataset
This program analyzes and make predictions of the census income dataset with different models. It is made with Scala and Spark.
Rented bikes per hour prediction
This project predicts the number of bicycles rented each hour according to different conditions. It is made with Scala and Spark.
Fullstack Development projects
FoodBook
This web application is made to post the experiences that users have with food. It is made with Angular, NodeJS and MySQL.
HealthAdvisor
This web application is made to manage the medicines you take and record your medical appointments. It is made with PHP, Bootstrap and MySQL.
EnesimaMano
This web application is made to publish second-hand ads. It is made with Angular, Spring Boot and Firebase.
JobsFinder
This web application is made to allow companies publish job offers and to allow users enroll on it. It is made with React, PHP and MySQL.
Tasketizer
This web application is made to organize tasks and to group them. It is made with NextJS, Tailwind and MongoDB.
TutorUVa
This web application is made to agree meetings between teachers and students. It is made with React, Tailwind, NodeJS, ExpressJS and MongoDB.
Clinica LozOlm
This landing page is made to show the features and benefits of a dental clinic. It is made with HTML, SCSS and JavaScript.
HyperCars
This web application is made to manage the cars of a car dealership. It is made with Vue, NodeJS, ExpressJS and MongoDB.
BookStorage
This web application is made to save the books that you read. It is made with Django, Bootstrap and MySQL.
Foodeador
This web application is made to save the prices of different products in supermarkets. It is made with Vue, .net and MySQL.
SmartWardrobe
This web application is made to help users to organize their clothes and outfits. It is made with Laravel and MySQL.
CodingResolver
This web application allows users to post programming problems and find someone to solve it. It is made with React and Solidity.
FootballAssitant
This web application is made to answer to queries about football statistical data. It is made with Angular, NodeJS and DialogFlow.
Programmation logic
This project contains files where different problems are resolved based on an algorithm. The problems are resolved with different technologies.
My life isn't just about coding; I also practise sports like running or cycling. Engaging in sports helps me unwind after battling with code! Below, I detail some of my major sporting achievements.
I have many reference athletes or teams like Rafa Nadal, Cristiano Ronaldo, Carlos Sainz or Real Madrid. They all share the spirit of never giving up, fighting until the end, hard work and effort.
I have run different local races such as "La Paramada" where I ran 11 kilometers of trail running in 1 hour and 15 minutes or the "PucelaRun" where I ran 10 kilometers through the center of Valladolid in 50 minutes. Also, in 2021 I went running for 147 days, running 1054 kilometers.
