Python
,SQL
,TensorFlow
,Power BI
andAzure
. With a focus on RAG and LLM fine-tuning. Enthusiastic about data pipelines, driven by a passion for turning data into decisions.Featured
• Designing and developing an AI chatbot using Azure services, integrating advanced retrieval-augmented generation (RAG) techniques, prompt engineering, and fine-tuning of models to enhance chatbot accuracy and response quality.
• Extracting, cleaning, and preprocessing large unstructured datasets using Python, SQL, and multiple chunking methods to optimize AI model training and deployment.
• Analyzing and monitoring data pipelines using SQL, Power BI, Excel Pivot Tables, and Azure DevOps, ensuring smooth data flow, efficiency, and business intelligence reporting.
• Developing interactive dashboards and reports in Power BI to track key performance indicators (KPIs), detect anomalies, and drive data-driven decision-making.
• Developed AI to educate global leaders, researchers, and citizens about politics and ethical AI applications (social for good).
• Extracted, processed, cleaned, and verified large-scale text data from legal and political sources.
• Developed high-quality training datasets and applied state-of-the-art machine learning, deep learning, and generative AI techniques to enhance chatbot performance.
• Conducted rigorous model evaluation, fine-tuning, and prompt engineering to ensure factual accuracy and legal compliance.
Featured
An AI chatbot friend and therapist supporting people with mental health conditions, aligned with UN SDG 3 (Good Health & Well-Being)
Trained multiple ML and DL models to classify breast cancer with high accuracy using EDA, feature engineering, and PCA
A real-time driver drowsiness detector using OpenCV and Dlib to help drivers stay safe on the road
About
I'm a Data Scientist specialized in AI chatbots, RAG, and LLM fine-tuning. I love turning messy data into reliable, business-driving insights.
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