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Computer Science (Data Science) Graduate Passionate About Analytics and Problem Solving
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Assessing your cultural and operational fit
Data Analytics candidate with strong analytical and problem-solving mindset with experience working on data-driven projects and internship assignments involving structured datasets. Interested in transforming data into meaningful insights, supporting data-informed decision-making, and continuously learning statistical, modern analytics, and business intelligence practices. Experienced in utilizing AI-powered tools to accelerate research, data exploration, and analytical workflows.
Moodlakatte Institute Of Technology
B.E · Computer Science (Data Science)
December 11, 2022 – July 24, 2026
other
Higher Secondary Education - Science · PCMC
October 25, 2020 – May 10, 2022
Shree Convent and High School
Secondary School Education · General Studies
May 19, 2019 – July 21, 2020
Ozibook
Data Analyst
September 15, 2025 – December 23, 2025
Bengaluru, Karnataka, India
Sentiment Analysis in Kannada
January 1, 2024 – June 1, 2026
Worked on sentiment analysis for Kannada, a low-resource language, using a pretrained XLM-RoBERTa model. Explored text data to understand sentiment patterns and observe model behavior. Built a simple prototype interface to test and demonstrate the system.
Behind Your Words Sentiment & Emotion Analysis Chatbot
January 1, 2024 – June 1, 2026
Built a full-stack chatbot that analyzes user messages for both sentiment and emotion in real time. Used FastAPI for backend APIs and React for the frontend chat interface and dashboard. Integrated Gemini AI for empathetic conversational replies and HuggingFace NLP models for sentiment & emotion detection. Added visual insights such as pie charts, trend lines, daily comparison, and downloadable PDF reports. Stored only daily aggregated emotion summaries using Supabase, keeping raw chat messages private.
AskBase Dynamic SQL Chatbot
January 1, 2024 – June 1, 2026
Built a FastAPI backend that accepts CSV uploads, auto-creates SQLite tables with inferred column types, and answers natural language questions by generating and executing SQL. Integrated a FAISS-based RAG pipeline to embed table schemas using a local Ollama embedding model and retrieve relevant context at query time. Used a local LLM (Qwen2.5-Coder) via Ollama to generate SQLite queries from natural language prompts with a structured prompt template. Implemented a self-correction loop that detects SQL execution errors and re-prompts the LLM to fix the query, retrying up to 2 times before returning a structured error response. Designed a health check endpoint to report Ollama reachability and loaded schema count, with graceful degradation when the LLM service is unavailable.
View ProjectNPTEL Programming in Java
NPTEL
January 1, 2024 – Present
Cultural Fit Analysis
The candidate's diverse project portfolio, ranging from sentiment analysis in low-resource languages to full-stack AI chatbots and dynamic SQL systems, indicates a strong curiosity and willingness to explore various technical domains. Their active participation in hackathons and technical competitions, along with problem-solving on platforms like LeetCode, suggests a driven, competitive, and collaborative spirit. The internship experience, where they were promoted to Sub-Team Lead, shows adaptability and a capacity for taking on more responsibility. These attributes suggest a good cultural fit for an innovative and fast-paced environment.
Soft Skills & Operational Fit
The candidate demonstrates strong problem-solving, data exploration, and pattern identification skills, which are crucial for a Data Analyst role. Their experience as a Sub-Team Lead at Ozibook indicates leadership potential, task delegation, and data quality review capabilities. Participation in hackathons and technical competitions highlights teamwork, creativity, and the ability to perform under pressure. The candidate's interest in continuous learning and utilizing AI-powered tools aligns well with modern data analytics practices.