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Data Analyst with less than a year in Data Analytics & AI
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Aspiring Data Analyst with strong analytical skills and a passion for building predictive models, GenAI applications, and turning data into actionable insights. Experienced in building interactive dashboards, implementing machine learning solutions, and developing Generative AI (RAG-based) systems across domains like product retention, auto sales, and education technology. A dedicated professional with strong communication and problem-solving abilities, committed to delivering results through data-driven and AI-powered strategies.
GWCET, Nagpur
Bachelor of Technology (B.Tech) · Computer Science Engineering
August 1, 2021 – June 30, 2025
Arbor Pune
Data Analyst
September 1, 2025 – Present
Pune, Maharashtra, India
Delhivery
Data Analyst
September 1, 2025 – Present
India
Maharashtra Textbook Assistant (RAG-based AI Project)
September 1, 2025 – June 1, 2026
Developed an AI-powered textbook question-answering system using Retrieval-Augmented Generation (RAG) architecture to solve inefficient textbook search and unreliable AI responses. Implemented a document ingestion pipeline for Maharashtra State Board textbooks (Class 6-12), including PDF parsing, chunking, and embedding generation. Used Pinecone vector database for semantic search and efficient retrieval of relevant context. Integrated Large Language Model (LLM) to generate fast, context-grounded, and syllabus-specific answers, reducing hallucinations. Built a Streamlit based interactive interface for seamless student interaction and real-time query responses. Optimized retrieval pipeline to improve relevance and accuracy of answers through better context grounding.
MySQL
Udemy
June 1, 2026 – Present
Power BI
Udemy
June 1, 2026 – Present
Data Analyst Certificate
Arbor Academy, Pune
June 1, 2026 – Present
Machine Learning
Krish Naik Academy, Udemy
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity, ranging from an AI-powered educational tool to logistics and auto sales data analysis, indicates adaptability and a broad interest in applying data skills across different domains. Their academic background in Computer Science Engineering and multiple certifications align well with a data-driven culture. The internships, though short-term, show an initiative to gain practical experience. However, the experience level is entry-level, which might require more mentorship in a senior role.
Soft Skills & Operational Fit
The candidate demonstrates problem-solving abilities through their project work, addressing issues like inefficient textbook search and inconsistent sales data. Their experience in building interactive dashboards and AI systems suggests a commitment to delivering actionable insights and improving data visibility for stakeholders. The project descriptions indicate an ability to work on end-to-end data pipelines and integrate various technologies.