Open to opportunities

Harrsha User

@harrsha

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Data analyst specializing in advanced Excel, SQL, Python, and GenAI insights.

India

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What I'm looking for

I seek a data role where I can apply SQL, Python, ML, and GenAI to drive measurable business impact, automate reporting, and collaborate cross-functionally in a growth-oriented team.

I am a data analyst with 2+ years delivering Excel-based reporting and analytics for a global hospitality portfolio covering 7,000+ properties in 126 countries. I build executive dashboards, track KPIs, and translate complex data into actionable insights that guide strategic decisions.

My hands-on experience includes SQL, Python, machine learning, and GenAI for tasks such as NLP sentiment analysis, predictive modeling with PCA/linear regression/random forest, and automated reporting pipelines using AWS and Streamlit. I have delivered work that informed loyalty program strategy, optimized partnerships, and improved guest satisfaction metrics.

I focus on pragmatic, impact-driven analytics: automating workflows, enabling scalable prospecting, and turning survey and transactional data into clear recommendations for stakeholders. I collaborate across teams to operationalize insights and drive measurable business outcomes.

Experience

Work history, roles, and key accomplishments

Current

Data Analyst

Current

LatentView Analytics

Feb 2024 - Present (2 years)

Delivered analytic insights and automated reporting for Hilton's global portfolio, informing loyalty program strategy, partner optimization, and promotional ROI through SQL-, Python-, and ML-driven analyses across 7,000+ properties in 126 countries.

SQL Python Excel Machine Learning NLP Tableau AWS Sagemaker Selenium Data Visualization

Education

Degrees, certifications, and relevant coursework

Hindustan Institute of Technology and Science

Bachelor of Technology, Computer Science and Engineering

Bachelor of Technology in Computer Science and Engineering completed in May 2023 with coursework and projects focused on software development, data analysis, and machine learning.