LLM Chatbot with Prompt Engineering
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Summary
Developed an OpenAI-powered chatbot using Flask, implementing advanced prompt engineering techniques for enhanced conversational AI.
Aspiring AI & ML Engineer with a robust foundation in banking analytics and hands-on experience in developing AI-powered systems. Proficient in leveraging Python, LangChain, and OpenAI APIs for data visualization, predictive modeling, and advanced LLM tool creation. Dedicated to applying data-driven solutions to solve complex real-world business challenges and drive impactful outcomes.
Data Analyst Intern
Mumbai, Maharashtra, India
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Summary
As a Data Analyst Intern at RBL Bank, Ankit Sinha analyzed key banking metrics to refine campaign strategies, developed dashboards for portfolio management, and modeled customer behavior to drive retention.
Highlights
Analyzed critical onboarding metrics, including conversion rates, P&L, and book size, to strategically refine and optimize bank-wide campaign strategies.
Developed and deployed interactive Tableau dashboards for real-time portfolio tracking and attrition analysis, enhancing data visibility for stakeholders.
Modeled sophisticated customer retention and retargeting strategies, identifying high-value segments for targeted marketing initiatives.
Delivered actionable marketing analytics insights by leveraging advanced SQL queries and UTM tracking, directly contributing to campaign performance optimization.
Engineering Intern
Alibag, Maharashtra, India
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Summary
As an Engineering Intern at the Heavy Water Plant, Ankit Sinha optimized chemical plant processes through rigorous safety and risk assessments, while also mastering process optimization techniques and compliance protocols.
Highlights
Optimized critical chemical plant processes by conducting comprehensive industrial safety and risk assessments, enhancing operational efficiency and ensuring adherence to stringent safety standards.
Applied advanced process optimization techniques to improve system performance, contributing to a more robust and efficient operational framework.
Mastered and implemented complex compliance protocols, ensuring all processes met regulatory requirements and minimizing operational risks.
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Bachelor of Engineering (B.E.)
Mechanical Engineering
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Higher Secondary Certificate (HSC)
General Studies
Grade: 70.8%
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Secondary School Certificate (SSC)
General Studies
Grade: 85.2%
Issued By
Udemy
Issued By
Udemy
Issued By
Udemy
Issued By
Udemy
Python, SQL, Tableau, Power BI, Excel, Flask, FastAPI, Streamlit, Jupyter.
Regression, Classification, Clustering, Predictive Modeling, Data Visualization, Data Analytics, Marketing Analytics.
LLM Development, Prompt Engineering, LangChain, OpenAI APIs, RAG (Retrieval-Augmented Generation), ChromaDB, Semantic Search, Document Chunking, AI Agents (LangGraph), ReAct-style Planner, Memory Chaining, AI Evaluation (F1, Precision, MRR, nDCG).
Google Cloud Platform.
Microsoft Suite, ZOHO Projects.
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Summary
Developed an OpenAI-powered chatbot using Flask, implementing advanced prompt engineering techniques for enhanced conversational AI.
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Summary
Engineered a Retrieval-Augmented Generation (RAG) assistant leveraging LangChain and ChromaDB for efficient file-based Q&A.
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Summary
Constructed a multi-step AI agent using LangGraph, integrating a ReAct-style planner with memory chaining and OpenAI tools.
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Summary
Developed a comprehensive AI evaluation framework, designing a benchmark suite to rigorously compare LLM and RAG models.