Headline

AI & ML (MSc) | Data Analytics | Power BI · Python · SQL | Building Smarter Learning Systems | Actively Seeking Oppurtunities !

About

I build systems that make learning work operationally, analytically, and intelligently. Currently, I manage LMS operations and product workflows at ArivuPro, where I oversee content pipelines on Learnyst, coordinate faculty deliverables, and ensure quality across digital learning experiences. I've improved backend processes that directly impact how students access and interact with course content. Alongside my professional work, I'm pursuing an M.Sc. in Artificial Intelligence & Machine Learning at Christ University, Bengaluru (Expected 2028). Before this, I worked as a Data Analyst, building 50+ Power BI dashboards, performing exploratory data analysis using Python and SQL, and transforming complex datasets into actionable business insights. That analytical mindset now drives how I approach product, operations, and process optimization. What I bring to the table: → AI/ML foundations (actively building) → Data analytics (Power BI, Python, SQL) → Process design & quality assurance → LMS management & EdTech operations → Product workflow automation & operational excellence Open to collaborations, product roles in EdTech and analytics, and conversations at the intersection of data, AI, and learning. Portfolio: lingeshmax.netlify.app

Location

Bengaluru

AI stack

antigravity

claude code

claude

codex

cursor

gemini

Work experience

Product Development Assistant at ArivuPro, Aug 2025 - Present · 1 yr 2 mos, Bengaluru, Karnataka, India, -> Manage end-to-end LMS content operations on Learnyst uploading, structuring, and maintaining 100+ course assets with consistent naming and release schedules. -> Coordinate across faculty and product teams to schedule test series, revision content, and answer key releases, reducing last-minute delays by improving lead time. -> Own student support ticket resolution, maintaining response SLAs and documenting recurring issues to inform product improvements. -> Conduct structured QA checks on all digital content before release, ensuring brand and academic standards are met consistently. -> Identified and documented 3+ backend process gaps in content delivery workflow; proposed improvements currently under implementation.

Data Science Intern at Shiash Info Solutions Private Limited, Mar 2024 - May 2024 · 3 mos, Chennai, Tamil Nadu, India, -> Built a churn prediction model using Python (Scikit-learn, Pandas) that identified at-risk customer segments, informing retention strategy for a business use case. -> Performed EDA across multiple datasets using Python and SQL to surface trends, anomalies, and business-relevant patterns. -> Developed and automated 5+ Power BI reports, reducing manual reporting effort and enabling faster data-driven decisions for internal stakeholders. -> Engineered features and evaluated ML model performance using precision, recall, and F1 — delivering interpretable results to non-technical teams.

Education

Bachelor of Engineering - BE, Computer Science & Engineering, Dhanalakshmi Srinivasan University

Master's Degree, Msc in Artificial Intelligence & Machine Learning, Christ University, Bangalore

Public links

github: https://github.com/lingeshdev

lingeshdev.netlify.app: https://lingeshdev.netlify.app/