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Data Science with less than a year in Big Data & AI.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
M.Sc. graduate in Big Data Analytics with strong background in Python, SQL, data analysis, machine learning, NLP, and large language models (LLMs). Skilled in data preprocessing, visualization, predictive modeling, and developing AI-powered applications using FastAPI, RAG LangChain, and LangGraph. Experienced in developing projects related to business analytics, enterprise AI chatbots, and speech-to-text topic analysis. Passionate about using data and technology to solve real-world problems, generate actionable insights, and support data-driven decision-making.
St. Xavier's College, Ahmedabad
Master of Science · Big Data Analytics
August 1, 2024 – June 30, 2026
Veer Narmad South Gujarat University, Surat
Bachelor of Computer Applications
August 1, 2021 – June 30, 2024
Petpooja
Data Science Intern
December 1, 2025 – Present
Ahmedabad, Gujarat, India
Automatic Speech-to-Text & Topic Analysis of Parliamentary Debates (Research paper)
June 1, 2026 – Present
Developed a pipeline to transcribe audio speeches using OpenAI Whisper and preprocess text for NLP tasks. Generated embeddings using a fine-tuned SentenceTransformer and performed topic modeling with BERTopic + HDBSCAN, achieving coherent and diverse clusters. Implemented centroid-based classification to assign dominant topics to new speeches with high accuracy.
Enterprise Multi-Agent Self-RAG Chatbot with RBAC
June 1, 2026 – Present
Built a multi-agent Self-RAG chatbot using LangGraph, FastAPI, and ChromaDB for HR, IT, and Finance domains. Implemented RBAC (Role-Based Access Control) with Supabase and metadata-based filtering for secure document retrieval. Designed a Self-correcting RAG pipeline with relevance filtering, faithfulness (IsSUP), and usefulness (IsUSE) evaluation.
Customer Behavior Analysis | Power BI & SQL
June 1, 2026 – Present
Analyzed customer purchase patterns and shopping behavior using Python and SQL to generate actionable business insights. Developed interactive Power BI dashboards to visualize trends in spending, product preferences, discounts, and customer loyalty. Conducted customer segmentation to identify high-value and repeat buyers, enabling targeted marketing and retention strategies. Provided data-driven recommendations for optimizing promotions, subscription programs, and product positioning to enhance sales and engagement.
Cultural Fit Analysis
The candidate's academic projects demonstrate a diverse range of applications, from customer behavior analysis to advanced NLP and multi-agent chatbots, indicating a broad interest in data science domains. The pursuit of a Master's in Big Data Analytics and an ongoing internship suggests a proactive and continuous learning mindset. The listed soft skills also point towards a collaborative and adaptable individual, which generally contributes to a positive cultural fit.
Soft Skills & Operational Fit
The candidate's resume highlights participation in group initiatives to improve cooperation and communication skills, and lists problem-solving, analytical thinking, quick learning, critical thinking, teamwork, adaptability, and time management as soft skills. These indicate a potential for good operational fit within a collaborative data science team.