Deepali
Data Scientist
About Me
Welcome to my portfolio! I am a passionate Data Scientist and AI/ML enthusiast with expertise in MLOps, large language models (LLMs), generative AI chatbots, Vector DB, Retrieval-Augmented Generation (RAG), and dashboard creation. I enjoy transforming data into actionable insights and solving complex problems using Python, SQL, Excel, and PowerBI.
I hold a master’s degree in Computer Science with a specialization in Artificial Intelligence, and a bachelor’s degree in the same field. My academic journey includes publishing research papers in IEEE and Springer journals, focusing on computer vision, machine learning, and deep learning algorithms.
I approach learning with a philosophical mindset, connecting concepts deeply to understand the world and find meaningful ways to apply technology. This portfolio showcases my projects, experiments, and practical applications of AI/ML, highlighting my ability to learn deeply and create impactful solutions.
1
PowerBI Project
1
SQL Project
Key Skills
My Projects
My Experience
Katonic AI | Data Scientist | March 2023 – June 2025 | Remote
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Developed MLOps pipelines for Machine Learning and Deep Learning models using Kubeflow Pipelines (kfp) and Airbyte Connectors.
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Engaged directly with clients across multiple projects, ensuring technical solutions met business requirements.
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Designed and implemented multimodal generative AI chatbots with backend API integration.
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Integrated vector stores like Milvus for storing embeddings, enabling hybrid search and improving chatbot performance by 30%.
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Contributed to platform enhancements by proposing innovative ideas and creating demo solutions.
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Built Generative AI applications leveraging GPT-4, GPT-3.5 Turbo, and LLaMA models.
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Applied prompt engineering techniques and LangChain to deploy customised AI agents for client-specific use cases.
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Created dynamic, interactive reports with Apache Superset to support data-driven decision-making.
Technologies: Python, PostgreSQL, GenAI, Machine Learning, Deep Learning, Apache Superset.PUBLICIS RE:SOURCES | Data Analyst | Aug 2022 – Jan 2023 | Gurugram
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Performed exploratory data analysis (EDA) on project datasets using Jupyter Notebook.
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Utilised Microsoft Azure AI platform to enhance data analysis workflows.
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Gained hands-on experience in Salesforce development: Triggers, Apex Classes, VF Pages, Lightning Components, Workflows, and Automated Alerts.
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Collaborated with the Salesforce team to identify opportunities for data-driven process improvements.
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Awards & Certificate
Let's Work Together!
Feel free to get in touch with me. I am always open to discussing new projects, creative ideas or opportunities to be part of your visions.
[email protected]
GitHub