Divij Wadhawan
Data Science & Cloud Architecture
Experience
Data Scientist
Daimler AG
Mercedes Me is an app that connects your phone to several features in the car. One such feature is called Digital Drivers Log or 'Fahrtenbuch'. This product collects trip data when a customer drives his 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 on a day-to-day basis. State of the art infrastructure is used from azure including event hubs, streaming jobs, virtual networks, service fabric as a container based service, azure devops for sprints, sql databases, data lake storage and azure web apps
Cloud Architect
Daimler Mobility AG
Employed at 360 Customer View and Data Lake team. From January 2019 took the responsibility as co-account owner and lead architect for microsoft azure platform and its operations. Main contribution was implementation of end to end data science architecture for development, testing and deployment of machine learning algorithms.
Projects:
- Rolling Forecast is a Time Series Forecasting Model which was developed by a team of 10 data scientists. Responsible for implementation and maintenance of cloud infrastructure which included services like HDInsight Clusters with Spark, Data Lake Store, Automation Accounts.
- Early Warning Radar: Role of an IT Lead along with support the supplier for end-to-end development. This project combined external and internal data to predict market behaviour using machine learning algorithms. Objective of predicting this behaviour was to know early warning for a possible economic slowdown.
IT Consultant
Daimler Financial Services AG
Internal consultant to business teams of Risk Analytics, Customer 360 and Rolling Forecast. Use cases were from Emea and Asia Pacific markets. Role was to make business teams understand potential of their data and also implement hands-on end to end proof of concept to showcase the potential of machine learning in their day to day business.
Projects:
- Predicting Customer Sentiment: End-to-End Streaming analytics infrastructure on azure using sentiment analytics on congnitive services supported by python programming. Several data sources were used. The project was for risk analytics team and after its success was also used for strategy and marketing.
- Calue: Set up of azure infrastructure to host a python + flask based application on a webapp. This project predicts residual value of a vehicle using attributes from websites like mobile.de and autoscout.de. Later it was also extended to include websites from other countries to support entities in other markets.
Praktikant + Masterand (Full Time)
Daimler Financial Services AG
- Organised a hackathon in stuttgart where startups from all over the world participated.
- Part of member of jury for deciding the top 3 startups for an AI based problem that was part of this hackathon.
- Project Lead with the best startup to deliver a digital solution that auto-detects data quality challenges in large databases using AI
Wrote master thesis on the topic "Machine Learning in Data Quality" inspired by previous internship which was in a similar working area. R programming was used along with KNIME tool for technical work. The thesis was very successful and helped to get a full time contract at Daimler Financial Services as an IT Consultant.
BI Developer
Essex Lake Group
Lead a team of 3 for delivering an end to end BI solution using Qlikview analytics tool and AWS for a big insurance provider in USA
Analyst, IT Consulting
KPMG
- Consulted clients on end-to-end business intelligence technology
- Improved turnaround time for financial and inventory reporting for a client in manufacturing industry
- Tracked inventory and identified points of supply chain failure for a client in telecom industry
- Designed and Developed analytic solutions with front ends using the tool qlikview and sql programming
- Audited IT systems of various clients for compliance and assurance needs by kpmg financial audit teams