Divij Wadhawan
Data Scientist
Data Scientist
Daimler R&D
Mercedes Me is an app that connects your phone to several features in the car. One such feature is called Digital Driver’s Log or ‘Fahrtenbuch’. This product collects trip data when a customer drives their car. I am responsible for implementing analytical KPIs for this product using PySpark on Databricks
Product Owner and Cloud Architect
Mercedes-Benz Vans
Mercedes-Pro is a B2B fleet management tool. This product sends real-time data from the vehicles to the application. Fleet customers can use it to organize and manage their vehicles day to day. We use state-of-the-art Azure infrastructure including Event Hubs, streaming jobs, virtual networks, Service Fabric as a container service, Azure DevOps for sprints, SQL Databases, Data Lake Storage and Azure Web Apps
Cloud Architect
Daimler Mobility AG
Employed in the 360 Customer View and Data Lake team. From January 2019 I took on the role of co-account owner and lead architect for the Microsoft Azure platform and its operations. My main contribution was implementing end-to-end data science architecture for development, testing and deployment of machine learning models.
- Rolling Forecast is a time series forecasting model developed by a team of 10 data scientists. I was responsible for implementing and maintaining the cloud infrastructure, which included HDInsight clusters with Spark, Data Lake Store and Automation Accounts.
- Early Warning Radar: I served as the IT lead and supported the supplier for end-to-end development. This project combined external and internal data to predict market behavior using machine learning algorithms. The goal was to provide early warning of a possible economic slowdown.
IT Consultant
Daimler Financial Services AG
Internal consultant to the business teams of Risk Analytics, Customer 360 and Rolling Forecast. The use cases came from EMEA and Asia Pacific markets. My role was to help business teams understand the potential of their data and also build hands-on end-to-end proofs of concept to demonstrate the value of machine learning in their daily work.
- Predicting Customer Sentiment: Built an end-to-end streaming analytics solution on Azure using sentiment analysis from Cognitive Services, supported by Python. We used several data sources. The project was for the risk analytics team, and after its success it was also used by strategy and marketing.
- Calue: Set up Azure infrastructure to host a Python + Flask application on a Web App. This project predicts the residual value of a vehicle using data from sites like mobile.de and autoscout.de. Later we expanded it to include sites in other countries to support operations in other markets.
Intern + Master’s Student
Daimler Financial Services AG
- Organized a hackathon in Stuttgart with startups from around the world.
- Served as a jury member to choose the top 3 startups for an AI-based challenge in the hackathon.
- Led a project with the winning startup to deliver a digital solution that auto-detects data quality issues in large databases using AI.
I wrote my master’s thesis on “Machine Learning in Data Quality,” inspired by my previous internship in the same area. I used R programming and the KNIME tool for the technical work. The thesis was very successful and led to a full-time IT consulting position at Daimler Financial Services.
BI Developer
Essex Lake Group
Led a team of three to deliver an end-to-end BI solution using QlikView and AWS for a large insurance provider in the USA.
Analyst, IT Consulting
KPMG
- Advised clients on end-to-end business intelligence solutions.
- Improved turnaround time for financial and inventory reporting for a manufacturing client.
- Tracked inventory and identified supply chain failures for a telecom client.
- Designed and developed analytic solutions with QlikView front ends and SQL programming.
- Audited IT systems for various clients to meet compliance and assurance needs of KPMG financial audit teams.
To either lead a company or start one myself and be number 1 in the world in sports-tech for individuals
Magdeburg University
MSc Data and Knowledge Engineering, Data Classification (Machine Learning) · Data and Knowledge Engineering · Germany
IIIT Delhi University
BSc Computer Engineering, Databases and Analytics · Computer Engineering · India
Certified Scuba Diver
Driving Safety Training for Cars
F2 License for Test Vehicles
German Driver’s License
Udacity DS Nanodegree
Udacity
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