I'm a Data Scientist student living Buenos Aires, Argentina. I have been studying my degree at UMU for a year, and at the same time doing projects. Check out my latest work on the portfolio page. Do you want to talk to me? Contact me here.
In this project, create a Python chatbot using the JSON dataset. Chatbots often play a critical role for businesses as they can effortlessly handle a barrage of queries and messages while reducing workload. This project is supported by technologies such as Artificial Intelligence, Machine Learning and Data Science
Data analysis begins with EDA. Exploratory Data Analysis plays a key role in the data analysis process as this step helps you make sense of your data and often involves visualizing it for further exploration.
Created - 10 Sep 2022
Technologies Used - Python
Package - Pandas, NumPy, Seaborn, and Matplotlib
Dataset - IBM Analytics Community
Source code - Repository
Also known as opinion mining, sentiment analysis is an AI-backed tool that barely allows you to identify, gather, and analyze people's opinions on a topic or product. Modern data-driven businesses benefit most from a sentiment analysis tool, as it provides critical insight into people's reaction to a failed new product launch or changed business strategy.
Created - 12 Sep 2022
Technologies Used - R
Package - tidytext
Dataset - janeaustenR
Source code - Repository
Autocorrect is based on natural language processing. As the name suggests, it is programmed to correct misspellings and typing errors.
Created - 15 Sep 2022
Technologies Used - Machine Learning with Python
Package - textdistance
Source code - Repository
This Speech Emotion Recognition project tries to identify and extract emotions from multiple sound files containing human speech.
Created - 24 Sep 2022
Technologies Used - Python
Package - Librosa, Soundfile, NumPy, Sklearn, Pyaudio
Dataset - RAVDESS
Source code - Repository
Predicting human migration as accurately as possible is important in city planning applications, international trade, the spread of infectious diseases, conservation planning, and public policymaking.
Created - 30 Sep 2022
Technologies Used - Python
Package - Pandas, Seaborn, Matplotlib, Sklearn
Dataset - amankharwal
Source code - Repository
For this project, unsupervised learning is used to group clients into clusters based on individual aspects such as age, gender, region, interests, etc.
Created - 30 Sep 2022
Technologies Used - R
Clustering - Fuzzy
Dataset - Mall_Customers
View Code - Repository
If you want to contact me you can do it here, you can find my complete skills and certifications on linkedin in addition to seeing my public repositories on github.