I am a highly motivated final year Computer Science & Engineering student specializing in Data Science, with a strong foundation in Machine Learning, Natural Language Processing (NLP), and Data Analysis. My passion lies in solving real-world problems by harnessing the power of AI, machine learning, and data analytics.🔧 Technical Expertise:Programming Languages: Python, C, Java, SQLFrameworks & Tools: Flask, LangChain, TensorFlow, PyTorch, Scikit-learn, LlamaIndex, Crewai, PowerBIAI & ML Techniques: NLP, LLM Fine-Tuning, Computer Vision, Time Series ForecastingData Science Skills: Data Wrangling, Statistical Analysis, Visualization, Data Pipeline Development🚀 I'm passionate about building scalable AI-driven solutions that can improve decision-making processes, whether in healthcare, finance, or any industry driven by data. With hands-on experience in both backend development and advanced ML techniques, I aim to combine technology with innovation to drive business value.I am always looking to collaborate on exciting AI projects or opportunities in data science. Let’s connect and discuss how we can create the future of intelligent technology together!
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Data ScientistAppinventivMumbai, Mh, In -
Research InternIndian Institute Of Technology, Patna Oct 2023 - Apr 2024Patna, Bihar, India -
Data Analyst InternTag8 Jul 2023 - Feb 2024Mumbai, Maharashtra, India1. Inventory Model Project:-Spearheaded the development of a demand forecasting pipeline for Tag8 products in Australian and German markets.- Analyzed three months of historical sales data, incorporating master data and SKU growth trends for accurate demand predictions.-Integrated demand forecasting output with a dynamic Power BI dashboard, providing stakeholders with real-time insights.- Enabled teams to visualize demand trends and SKU-wise patterns… Show more 1. Inventory Model Project:-Spearheaded the development of a demand forecasting pipeline for Tag8 products in Australian and German markets.- Analyzed three months of historical sales data, incorporating master data and SKU growth trends for accurate demand predictions.-Integrated demand forecasting output with a dynamic Power BI dashboard, providing stakeholders with real-time insights.- Enabled teams to visualize demand trends and SKU-wise patterns, optimizing inventory levels and minimizing stockouts.2. Costing Model Project (USA): - Led the development and implementation of a comprehensive costing model project for the USA market. Collaborated closely with cross-functional teams to gather and analyze data, identify cost drivers, and streamline cost estimation processes, ultimately enabling more accurate financial planning and budgeting.3. AI Custom Chatbot Development:- Utilized the Mistral-7B open source LLM model and employed frameworks such as Langchain, Pytorch and LLamaIndex for model development and optimization.- Utilized Chromadb as a vector database for efficient storage and retrieval of vector embeddings generated during the chatbot's operation.- Curated and prepared custom datasets for fine-tuning the Mistral-7B LLM model.- Created a Flask API to serve the chatbot model, enabling seamless deployment and interaction with the chatbot on servers.4. User Analytics Dashboard: - Integrated live MongoDB database with Power BI during internship and build a dynamic dashboard to analyze the monthly addition of users countrywise, productwise etc. Show less -
Data Science InternShiga Corp Jun 2023 - Aug 2023Tamil Nadu, India -
Data Science & Business Analytics InternThe Sparks Foundation Apr 2023 - May 2023Singapore, Singapore
Rafe Khan Education Details
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Computer Science And Engineering (Data Science) -
St. Xavier'S High School GoregaonSsc
Frequently Asked Questions about Rafe Khan
What company does Rafe Khan work for?
Rafe Khan works for Appinventiv
What is Rafe Khan's role at the current company?
Rafe Khan's current role is Data Scientist.
What schools did Rafe Khan attend?
Rafe Khan attended Dwarkadas J. Sanghvi College Of Engineering, St. Xavier's High School Goregaon.
Who are Rafe Khan's colleagues?
Rafe Khan's colleagues are Apeksha Mehta, Bikramjeet Singh, Tanmay Mishra, Amit Pareek, Amit S., Ashiya Daud, Vikas Kamboj.
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