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

PythonSQLMetabaseTableauPower BIRetoolNanonetMiroProductBoardMixpanelJupyter NotebookPostgresFigmaGitHubJiraAWS

Models & Frameworks

Linear RegressionLogistic RegressionDecision TreeXGBoostK-MeansCNNRNNLSTMVGG16ResNETGoogleNETTensorflowKeras

Projects.

An image of the Innovative AI Approach for Efficient Data Retrieval in Natural Language project.

Innovative AI Approach for Efficient Data Retrieval in Natural Language

Python - LangChain Framework - Google PaLM - HuggingFace Embedding - Chroma Vector Database - Generative AI - Streamlit

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 >

An image of the AI-Driven CFSC (Commodity, Forex, Stock, and Crypto) Trading System Project project.

AI-Driven CFSC (Commodity, Forex, Stock, and Crypto) Trading System Project

TensorFlow - Keras - Yahoo Finance API - Streamlit - Deep Learning Models

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 >

An image of the Automatic Number Plate Recognition project.

Automatic Number Plate Recognition

Python - Tesseract OCR - OpenCV - Haarcascade

The main goal of the ANPR project is to create a system that can accurately detect and recognize license plates from vehicles in real-time or from static images. Learn more >

An image of the Covid Project - Live Mask Detection project.

Covid Project - Live Mask Detection

Python - OpenCV - Haarcascade

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.

An image of the Internal Retool Dashboard for Seamless Data Access product.

Internal Retool Dashboard for Seamless Data Access

Python - Freshdesk API - Chargebee API - HubSpot API - Gainsight API - Retool - REST APIs

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 >

An image of the SaaS Pricing Benchmarks: The Fastest Way to Prepare for Negotiations product.

SaaS Pricing Benchmarks: The Fastest Way to Prepare for Negotiations

Sastrify Platform

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 >

An image of the AI-Driven Growth for Shopify Stores product.

AI-Driven Growth for Shopify Stores

Artificial Intelligence - Predictive Analytics - Shopify Integration

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.

Onventis
Düsseldorf, Germany
Product Owner - eProcurement (Procure to Pay)
Sept 2024 - Present

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.

JiraKibanaSQLSwaggerHubPhraseREST API
Sastrify
Berlin, Germany
Product Operations Manager
Dec 2022 - Aug 2024

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.

RetoolPythonSQLMetabaseColabREST APIBigQuery
AiTrillion
Indore, India
Product-Led Growth
May 2022 - July 2022

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.

User Research Market MappingA/B TestingCompetitive AnalysisSWOT Analysis
Software Developer - AI/ML
Jan 2022 - Apr 2022

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.

PythonTensorFlowKerasMachine Learning Models
iNeuron
Bengaluru, India
Machine Learning Engineer
July 2020 - Apr 2021

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.

NLPPythonMachine LearningEmbedding

Contact.

You can also find me on Linkedin or shoot me an email if you want to connect!