A dedicated Master's graduate in Artificial Intelligence with one year of experience in Machine Learning and Deep Learning. Committed to continuous learning and skill development, and eager to contribute to innovative AI and data science projects

JP Dasolt · Remote
Mar 2024 - Jun 2024 (4 months)

Key Responsibilities:

• Gained a deep understanding of complex data science concepts
• Worked on the "Warehouse Stock Automation" Project
• Successfully completed the "Predictive Sepsis Detection" Project
• Enhanced proficiency in scraping data, Docker, and Azure

Technocolabs Softwares · Remote
Dec 2023 - Feb 2024 (3 months)

Key Responsibilities:

• Co-led a team remotely in managing the workflow of an end-to-end machine learning (ML) model for predictive analysis, utilizing social profiles in an Online Peer-to-Peer (P2P) Lending Market
• Employed feature engineering techniques, computed Mutual Information (MI) scores, and applied Principal Component Analysis (PCA) to streamline features
• Classified data into defaulted and non-defaulted loans, predicted loan amounts, ROI, and EMI for financial risk analysis
• Developed a Flask application to deploy the model

Algérie Telecom · On-site
May 2023 - May 2023 (1 month)

Description:
A chatbot application that helps users find information on herbal remedies using a Retrieval-Augmented Generation (RAG) approach. Built with LangChain, Groq, and Streamlit, it integrates data from books and web APIs to provide accurate, guided responses.

Tools & Technologies:

Description:
A predictive system designed to detect the onset of Sepsis using Electronic Health Records (EHR) data. This project automates medical diagnoses to help predict early sepsis conditions and is deployed using Flask, Docker, and Azure Cloud.

Tools & Technologies:

Description:
Developed a predictive model to forecast sales performance across stores for a variety of products. This project helps optimize stock and sales strategies by leveraging sales data.

Tools & Technologies:

Description:
Built a predictive model to forecast popular recipes that would drive the most traffic for a fictional website. Features such as ingredient types, user ratings, and preparation time were used to make these predictions.

Tools & Technologies:

• Machine Learning Scientist with Python
  DataCamp
  Issued: Nov 2023
  Skills: Random Forest, Unsupervised Learning, Image Processing, Model Validation, Time Series Analysis, TensorFlow, Decision Trees, NLP, Feature Engineering, Neural Networks, Deep Learning, Data Preparation, Cluster Analysis, Supervised Learning, XGBoost, Dimensionality Reduction, Machine Learning

• Data Scientist Professional with Python
  DataCamp
  Issued: Oct 2023
  Skills: Data Manipulation, Random Forest, Unsupervised Learning, Data Visualization, Data Cleaning, Exploratory Data Analysis, Python, Hypothesis Testing, Git, Matplotlib, Statistical Data Analysis, Supervised Learning, SQL, XGBoost, Dimensionality Reduction, Machine Learning

• Data Analyst with Python
  DataCamp
  Issued: Sep 2023
  Skills: Data Manipulation, Data Visualization, Data Cleaning, Exploratory Data Analysis, Python, Hypothesis Testing, Statistical Data Analysis, Seaborn

• Advanced Deep Learning with Keras
  DataCamp
  Skills: Neural Networks, Deep Learning, Model Optimization, Keras

• Machine Learning Explainability
  Kaggle
  Skills: Explainable AI, Interpretability, SHAP, LIME

• Data Engineer Associate
  DataCamp
  Issued: Nov 2023
  Expires: Nov 2025
  Skills: Cloud Computing, Data Cleaning, PostgreSQL, Python, Database Design, SQL
  Credential ID: DEA0019042546124

• Data Analyst in SQL
  DataCamp
  Issued: Nov 2023
  Skills: Data Visualization, Exploratory Data Analysis, PostgreSQL, SQL

• Data Engineer
  DataCamp
  Issued: Oct 2023
  Skills: Cloud Computing, Data Cleaning, PostgreSQL, Python, SQL, Database Design

• Data Cleaning
  Kaggle
  Skills: Data Preparation, Data Cleaning Techniques, Data Quality

• Exploratory Data Analysis in Python
  DataCamp
  Skills: Data Analysis, Visualizations, Hypothesis Testing, Exploratory Techniques

• Dimensionality Reduction in Python
  DataCamp
  Skills: PCA, t-SNE, Feature Engineering, Data Compression

• Object-Oriented Programming in Python
  DataCamp
  Skills: Python Programming, OOP Principles, Code Reusability

• Developing Python Packages
  DataCamp
  Skills: Software Development, Python Packaging, Code Distribution

• Writing Efficient Python Code
  DataCamp
  Skills: Code Optimization, Memory Efficiency, Best Practices in Python

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