I am a data scientist specializing in AI and Prompt Engineering, with a background in Management and Systems. I hold a Master of Science (MSc) degree from New York University, where I focused on Database Technologies. I have completed professional development certifications in Artificial Intelligence and Machine Learning from BusyQA and LightHouse Labs, among others. My passion lies in using cutting-edge techniques such as Large Language Models and Hugging Face Transformers to address real-world challenges. I have experience in Natural Language Processing (NLP) and Deep Learning methodologies, and I am skilled in Python, SQL, and various machine learning libraries and tools. I am dedicated to continuous learning and finding innovative solutions through data analysis.

• Memory Support Chatbot for Pregnant Women:

  • Overview: This project aims to develop a Memory Support Chatbot for Pregnant Women using the GPT-2 language model. The chatbot will provide support and information to pregnant women experiencing cognitive memory issues during pregnancy.
  • Deployment: Deployed on both Streamlit and Gradio.

• Housing Prediction:

  • Description: Developed a model to predict housing prices using EDA and machine learning techniques.

• Food Choices Analysis:

  • Description: Analyzed a dataset on food choices of college students and deployed an interactive app using Streamlit.

• Question Answering System:

  • Description: Fine-tuned a question-answering model from HuggingFace and built a Gradio interface for easy interaction.

• And More...

• Masters of Science (MSc) in Management and Systems, specializing in Database Technologies
  • New York University, New York

• Certification in Artificial Intelligence with Prompt Engineering, BusyQA
• Certification in Data Analytics with Python - Ontario Tech Talent Inc, Ontario Tech University
• Certification of Completion, FinTech Upskilling Course: Machine Learning Model (MANIFESTO OF SOFTWARE CRAFTSMANSHIP), LightHouse Labs
• Certification of Completion, Data Science Training, Skyline IT Tech
• Certification in Introduction to Data Science, CISCO Networking Academy

• Specialization: Machine Learning, Statistical Modeling, Data Analytics
• Proficiency: Large Language Models, Hugging Face Transformers, Artificial Intelligence algorithms, Prompt Engineering
• Approach: Committed to addressing real-world challenges through innovative data analysis approaches, particularly in Natural Language Processing (NLP) and Deep Learning methodologies.
• Experience: Skilled in all phases of the Software Development Life Cycle (SDLC), Agile methodology, and SCRUM processes, ensuring efficient project delivery and collaboration.
• Programming Languages: Python, SQL
• Data Manipulation and Analysis: Machine learning libraries such as Pandas, NumPy
• Machine Learning Techniques: Regression Analysis, Bayesian Method, Decision Tree, Random Forests, Support Vector Machine, Neural Network, Sentiment Analysis, K-Means Clustering, KNN, Ensemble Method
• Data Visualization: Matplotlib, Plotly, Seaborn, Tableau, ggplot2, Power BI
• Statistical Analysis: SciPy, StatsModels
• Development Environments and Tools: Google Colab, Jupyter Notebook, Anaconda, PyCharm, MySQL Workbench
• Microsoft Office Products: Excel, Word, PowerPoint, Access, Outlook, Project Management
• Soft Skills: Critical Thinking, Problem-Solving, Communication, Collaboration and Teamwork, Adaptability and Flexibility, Curiosity, Continuous Learning, Creativity, Time Management