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Obuli Pranav

@obulipranav

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Data analyst specializing in ML-driven insights, dashboards, and automation.

India

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What I'm looking for

I seek a data role where I can apply ML and dashboarding to solve business problems, collaborate cross-functionally, and scale automation in a growth-focused team.

I am a data analyst who transforms raw data into actionable business insights using SQL, Python, Power BI, Tableau and automation tools like Alteryx. I combine machine learning, predictive modeling and strong data visualization to inform decisions and improve operational outcomes.

My work includes improving EV battery SOC estimation (17% accuracy gain, 25% RMSE reduction) and reducing experiment turnaround by 25%, plus developing customer segmentation and recommendation systems that supported targeted marketing. I build reproducible pipelines, Streamlit apps and dashboards that enable non-technical stakeholders to act on data.

I value clear data storytelling, cross-functional collaboration and continuous improvement, and I am advancing skills in cloud ecosystems (AWS, BigQuery/GCP) and process automation to deliver scalable analytics solutions.

Experience

Work history, roles, and key accomplishments

Research Intern

Universiti Teknologi PETRONAS

Sep 2023 - Dec 2023 (3 months)

Processed real-time EV battery datasets and applied ML models (SVM, Neural Nets, Gaussian Process Regression), improving SOC estimation accuracy by 17% and reducing RMSE by 25%; documented results and cut experiment turnaround by 25%.

Python Gaussian Process Regression SVM Time Series Analysis data preprocessing