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Kaustubh BhatlawandeKB
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Kaustubh Bhatlawande

@kaustubhbhatlawande

Data analytics and AI-focused developer building real-time dashboards and LLM automation.

India
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What I'm looking for

I’m looking for a data-focused role where I can apply quantitative problem-solving, visualization expertise, and analytical thinking—building analytics products and AI-powered automation in high-growth environments.

I’m a Computer Science undergraduate specializing in data analytics, AI systems, and financial modeling. I focus on turning messy data into measurable decisions through KPI development, exploratory data analysis, and regression modeling across structured and unstructured datasets.

I’ve built scalable Flask applications and API-driven data pipelines for real-time analytics, with dashboards that make insights easy to act on. On the analytics side, I developed a Streamlit CAPM dashboard using computed beta values and yfinance-powered data extraction, and I created Power BI dashboards with KPI tracking, time-series analysis, and category-level performance visualization.

I also integrate Large Language Models to deliver intelligent automation, with an emphasis on performance optimization, data clarity, and business impact. In my Sentiment Analysis Chatbot, I used structured prompt engineering and the Gemini API to classify emotions with confidence scores, serving 500+ daily inputs while engineering a reliable multi-user Flask backend; in parallel, I’ve led student technical initiatives as a Technical Lead and Team Lead.

Experience

Work history, roles, and key accomplishments

Education

Degrees, certifications, and relevant coursework

Vellore Institute of Technology logoVT

Vellore Institute of Technology

Bachelor of Technology, Computer Science

2022 - 2026

Grade: 8.56 CGPA

Activities and societies: Projects include a CAPM expected-returns Streamlit dashboard, a Flask + Gemini sentiment analysis chatbot with confidence scoring, and a Power BI analytics dashboard using SQL and Python.

Pursuing a Bachelor of Technology in Computer Science (2022–2026), building foundations in data analytics, AI systems, and financial modeling.

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