I'm looking to build data, funnel analysis, revenue, and AI automation products where analytical systems directly improve customer outcomes and business growth.
Aditya Kaushik
@adityakaushik1
I build pricing, revenue, and AI automation systems that turn data into measurable growth.
What I'm looking for
At Airtel Digital, I drive acquisition and delivery analytics for the B2B customer lifecycle. Previously at OYO SEA, I built pricing and realization systems across 3,200+ properties, reducing cancellations from 5% to 1.5% and preventing over $1.2M in revenue loss.
I've also built insurance recommendation and credit-scoring models at Spinny, along with recovery analytics at Midland Credit Management. I'm expanding into practical AI systems, creating local LLM-powered RAG, email triage, and job outreach workflows with n8n, Flowise, Ollama, Gmail, Slack, and Google Sheets.
Experience
Work history, roles, and key accomplishments
Manager - Product Analytics
Airtel Digital
Feb 2026 - Present (6 months)
Driving acquisition and delivery analytics for Airtel's B2B arm, enabling data-informed decisions across the enterprise customer lifecycle.
Assistant Manager – Revenue & Analytics, SEA
OYO
Sep 2023 - Nov 2025 (2 years 2 months)
Led a hybrid team of analysts and operations associates, overseeing pricing and revenue analytics initiatives. Built intelligent pricing optimization frameworks and developed XGBoost models to improve online channel realization, generating significant incremental revenue.
Designed an insurance recommendation engine and credit scoring model, and built BI dashboards for marketing-to-loan conversion funnel tracking.
Developed liquidation, payer rate, and RPC curves to monitor recovery and collection performance. Worked on optimizing the timing of suing customers, resulting in estimated annual savings of $100,000.
Education
Degrees, certifications, and relevant coursework
Delhi Technological University
Bachelor of Technology, Engineering
2017 - 2021
Grade: 7.45 CGPA
Pursued a Bachelor of Technology degree, achieving a CGPA of 7.45.
RPVV Lajpat Nagar
Class XII (CBSE), General Studies
2016 - 2017
Grade: 84%
Completed Class XII under the CBSE board with 84% marks.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
Skills
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