Hey, I'm Dheeraj.
I'm a Product Owner & ML Engineer
I've spent the last 3 years building and scaling product for some pretty cool companies. I love to delve into discussions about science and history. If you have a curiosity about these subjects, I''m always ready for a stimulating conversation! Let's connect!
About.
Hey! I'm Dheeraj, if you haven't already gathered that by now. I'm an engineer dedicated to solving problems from inception to deployment. My specialties lie in Agile methodologies, data analysis, and the development and implementation of machine learning solutions.
In my current role as a Product Owner for Procure-to-Pay at Onventis GmbH, I focus on sprint planning, backlog prioritizing and making data-driven solutions that address business challenges and optimize operational workflows. My role involves defining the vision, overseeing their lifecycle, and ensuring their alignment with organizational objectives. I collaborate with cross-functional teams, including engineers, and business stakeholders, to design and deliver innovative tools and automated processes.
Outside of work, I enjoy meeting new people. Whether it's exploring new ideas or sharing knowledge through online courses, I'm always eager to engage.
I'm actively looking for new positions where I can merge my love for code with my love for the product management. If you think you've got an opening that I might like, let's connect 🔗
Tech Stack
Models & Frameworks
Projects.
This project integrates natural language understanding with database querying capabilities. It enables users to interact with databases using everyday language queries, abstracting the complexities of SQL syntax and database structures Learn more >
This project integrates advanced deep learning models for financial forecasting across multiple market segments, including cryptocurrencies, stocks, forex, and global commodities. It enables users to predict the next day's closing prices with high accuracy, abstracting the complexities of different market behaviors and modeling techniques. The system is deployed on a Streamlit web application, offering a seamless and interactive user experience for accurate and efficient market analysis. Learn more >
This project aims to develop a real-time system that can detect whether individuals are wearing masks. This system is particularly relevant in scenarios where mask-wearing is mandatory for public health reasons, such as during a pandemic. The solution leverages computer vision and deep learning techniques to analyze video feeds and determine mask compliance. Learn more >
Products.
Internal Retool Dashboard for Seamless Data Access
This dashboard integrates key platforms like Freshdesk, Chargebee, HubSpot, and Gainsight into a unified interface. It enables teams to retrieve and analyze production data seamlessly, streamlining operations and decision-making. Learn more >
Pricing Benchmarks is a powerful feature enabling real-time, data-backed pricing insights to negotiate better software deals. It simplifies decision-making for new purchases and renewals by comparing your prices against $2 billion in managed contracts. Learn more >
I spearheaded the creation of forecasting algorithm, it is a platform empowering over 130K+ eCommerce stores to enhance customer engagement and increase sales through AI-powered tools like product recommendations, predictive analytics, and personalized marketing campaigns. Learn more >
Experience.
I lead the Procure-to-Pay (P2P) team in defining the product roadmap, optimizing processes, and prioritizing initiatives to align with strategic objectives. My work focuses on enhancing procurement efficiency through the implementation of OCI and cXML Catalog integrations while managing key partnerships with stakeholders like Amazon and Unite to ensure seamless collaboration. Additionally, I conduct feasibility assessments of third-party APIs to evaluate their compatibility and potential benefits for improving Catalog Management within the eProcurement platform.
I led Agile principles for our CustomerOps Team, driving feature development through sprint planning and backlog prioritization. Collaborating with UX designers and engineers, we revamped onboarding, boosting user satisfaction by 30%. Additionally, I transformed product data using SQL and Python in Retool, empowering teams with analytics that fueled increased product adoption and engagement.
I conducted a UX audit to boost engagement, improving user retention and session duration. I also led A/B tests that optimized checkout flows and redesigned interfaces, cutting cart abandonment by 15% and enhancing user acquisition and retention.
I developed a machine learning-based sales forecasting algorithm achieving 80% accuracy in predicting product sales in e-commerce. Additionally, I engineered an algorithm for analyzing and forecasting product demand on e-commerce platforms, achieving a 77% accuracy rate.
I implemented a BERT-based summarizer for Skype support queries using NLP, which reduced average handling time by 20%. Additionally, I developed and deployed an automatic number plate detection system that enhanced restricted access control and enabled real-time number plate detection, significantly improving security and operational efficiency.
Contact.
You can also find me on Linkedin or shoot me an email if you want to connect!