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Harman Gulati

@harmangulati

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Business Analyst at LeanApps GMBH who improved product discovery with a validated recommendation engine.

India

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At LeanApps GMBH, I delivered a top-3 recommendation engine for a microscope brand and validated its outputs through keyword testing and client feedback. I also refined genre mapping across 430+ genres and sub-genres.

I identified opportunities for two n8n AI agents and documented their workflows in Confluence. Earlier, I translated AI music product research into functional requirements and user stories, and digitized call-quality evaluations at Innovatia, reducing assessment time by 40% and improving scoring accuracy by 25%.

Experience

Work history, roles, and key accomplishments

Current

AI-ML Engineer

Current

LeanApps GMBH

Apr 2025 - Present (1 year 6 months)

Delivered a top-3 recommendation engine for a microscope brand and refined a genre-mapping solution across 430+ genres. Implemented two AI agents (n8n) to streamline product discovery and reduce repetitive work.

Recommendation Engine Keyword Driven Testing Genre Mapping N8n AI Agents Confluence Process Automation

ITSI Admin

Innovatia

Oct 2024 - Apr 2025 (6 months)

Digitized a manual call-quality evaluation process using MS Forms and Excel, reducing assessment time by 40% and improving scoring accuracy by 25%. Analyzed customer support performance data and visualized insights in dashboards.

Microsoft Forms Excel Data Analysis Dashboarding Process Improvement

Business Analyst Intern

LeanApps GMBH

Aug 2024 - Oct 2024 (2 months)

Benchmarked competitor and in-house AI music-tagging tools, evaluating outputs and feature gaps. Mapped the AI music landscape and translated research into functional requirements and user stories.

Competitive Analysis Product Research Jira Functional Requirements User Stories

Education

Degrees, certifications, and relevant coursework

EDHEC Business School

Master of Science, Data Analytics and Artificial Intelligence

2023 - 2024

MSc in Data Analytics and Artificial Intelligence with a major in Business Intelligence and Business Analytics. Thesis on predictive analysis of football match outcomes using Python and supervised machine learning.