
Dheeraj Shah
Fähigkeiten und Kenntnisse
Werdegang
Berufserfahrung von Dheeraj Shah
- Bis heute 3 Monate, seit Juli 2026
Senior Product Owner - eProcurement
Onventis
- 1 Jahr und 10 Monate, Sep. 2024 - Juni 2026
Product Owner - eProcurement (Procure-to-Pay)
Onventis
Focused on simplifying complex order and procurement workflows in a multi-tenant SaaS environment, with an emphasis on automation, integrations, and scalable product design. Key initiatives include Order Confirmation Automation (OCA), PDF Offer Upload, and Guided Buying, helping reduce manual effort, improve data quality, and support better purchasing decisions for enterprise users. Working closely with engineering, QA, UX, and platform teams to deliver reliable, end-to-end improvements across buyer, supp
Worked on improving data visibility, automation, and internal tooling to support SaaS procurement and product operations. Built a single source of truth (SSOT) data view used by internal teams, increasing product adoption by 25% and enabling more targeted customer engagement. Implemented AI-based invoice processing using Nanonets Zero Model (OCR), improving accuracy by 30% and reducing manual effort. Supported pricing and tooling decisions by evaluating data across 38 SaaS tools. Set up centralized report
- 11 Monate, Apr. 2022 - Feb. 2023
Founder
42Space
Led a small service-led business delivering IT and workflow optimization solutions for clients. Worked closely with stakeholders to understand problems, define solutions, and deliver outcomes end to end. The role involved handling ambiguous requirements, prioritizing work, and making practical trade-offs while delivering under real-world constraints.
- 3 Monate, Mai 2022 - Juli 2022
Product-Led Growth
AiTrillion
Led a UX audit to identify engagement gaps and drive improvements that increased user retention and session duration. Ran A/B tests on checkout and product interfaces, reducing cart abandonment by 15% and improving acquisition and retention.
- 4 Monate, Jan. 2022 - Apr. 2022
Software Developer - AI/ML
AiTrillion - All in one Marketing Platform
Developed machine-learning and time-series models for sales and demand forecasting, achieving ~80% accuracy in sales predictions and 77% accuracy in product demand forecasts for e-commerce use cases.
- 10 Monate, Juli 2020 - Apr. 2021
Machine Learning Engineer
iNeuron.ai
Built an NLP-based support query summarizer inspired by BERT research, improving efficiency in handling customer service requests. Also developed and deployed an automatic number plate detection system for real-time access control, improving security and operational efficiency.
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