Comprehensive Vector Data Tooling. The universal interface for all vector database, datasets and RAG platforms. Easily export, import, backup, re-embed (using any model) or access your vector data from any vector databases or repository.

• UpdatedDec 15, 2025
• Jupyter Notebook

Successfully developed a machine learning model which can accurately predict whether a firm will become bankrupt or not, depending on various features such as net value growth rate, borrowing dependency, cash/total assets, etc.

• UpdatedOct 22, 2023
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Successfully developed a fine-tuned BERT transformer model which can accurately classify symptoms to their corresponding diseases upto an accuracy of 89%.

• UpdatedMay 6, 2024
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The Employee Attrition Control project uses data analysis and predictive modeling to understand and address employee turnover. It provides insights and recommendations to reduce attrition and improve employee satisfaction and retention.

• UpdatedJun 16, 2023
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Successfully developed a fine-tuned DistilBERT transformer model which can accurately predict the overall sentiment of a piece of financial news up to an accuracy of nearly 81.5%.

• UpdatedMay 6, 2024
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• UpdatedSep 15, 2024
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Successfully developed a machine learning model which can accurately predict up to 100% accuracy whether a credit card application of a given applicant would be approved or not, based on several demographic features such as applicant age, total income, marital status, total years of work experience, etc.

• UpdatedOct 27, 2023
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CHL5230 - Applied Machine Learning for Health Data (Fall 2023) @ University of Toronto: Datathon #1 - Lifestyle and Health Factors

• UpdatedOct 31, 2023
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Final website for Introduction to Data Science Course. Our project focuses on distribution of public health establishments and pharmacies along Chile.

• UpdatedDec 7, 2025
• HTML

BOM(Bill of Materials) Business Analyst Case Study Solution using Python, Pandas manipulation and Visualization Technique

• UpdatedFeb 8, 2025
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This project consists on exploratory data analysis and the application of supervised learning models for classification using a Hepatocellular Carcinoma dataset. Second Semester of the First Year of the Bachelor's Degree in Bioinformatics at FCUP.

• UpdatedMay 21, 2024
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Successfully established a machine learning model which can accurately predict whether an employee of a given company will leave it in the impending future or not, based on several employee details and employment metrics.

• UpdatedOct 15, 2023
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Assignment Project - Exploring Rental Market Dynamics in Indian Cities using R Programming.

• UpdatedJul 15, 2025
• R

Explored a dataset of planes while learning PySpark commands.

• UpdatedJan 31, 2024
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Successfully created a machine learning model which can accurately predict the fare of a taxi trip based on several features such as trip duration, tip amount, etc.

• UpdatedOct 26, 2023
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CHL5230 - Applied Machine Learning for Health Data (Fall 2023) @ University of Toronto: Datathon #5 - mHealth and ML

• UpdatedNov 23, 2023
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CHL5230 - Applied Machine Learning for Health Data (Fall 2023) @ University of Toronto: Datathon #2 - Early Prediction of Heart Failure

• UpdatedNov 14, 2023
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Este análisis exploratorio de datos (EDA) realizado sobre el conjunto de datos de rendimiento estudiantil tiene como objetivo identificar y comprender los factores que influyen en el desempeño académico de los estudiantes. A través de la limpieza, transformación y visualización de datos, se busca descubrir patrones y relaciones significatvas.

• UpdatedJan 31, 2025
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Performed ETL on Retail Sales data an end to end data analytics project using PYTHON and SQL. By using Kaggle API to download the dataset and transformed data, processed data and cleaning using pandas and load the data into Sql Server.

• UpdatedMar 14, 2025
• Jupyter Notebook

A Machine Learning Project implemented from scratch which involves web scraping, data engineering, exploratory data analysis, NLP processing and ML, achieving the functionality of a Content based movie recommender system

• UpdatedFeb 10, 2025
• HTML