Divij Wadhawan
Data Scientist
Experience
Data Scientist
Daimler R&D, Daimler AG
- Mercedes Me is an app that connects your phone to several features in the car
- Implemented analytical KPIs for the Digital Drivers Log (Fahrtenbuch) feature
- Used PySpark on Databricks
Product Owner and Cloud Architect
Mercedes-Benz Vans
- Mercedes-Pro is a B2B fleet management tool providing real-time data from vehicles
- Designed state-of-the-art Azure infrastructure including Event Hubs, streaming jobs, virtual networks, Service Fabric, Azure DevOps, SQL Databases, Data Lake Storage and Azure Web Apps
Cloud Architect
Daimler Mobility AG
Employed in 360 Customer View and Data Lake team
Co-account owner and lead architect for Azure platform operations from January 2019
Implemented end-to-end data science architecture for development, testing and deployment of machine learning algorithms
Rolling Forecast: implemented and maintained cloud infrastructure (HDInsight Clusters with Spark, Data Lake Store, Automation Accounts)
Early Warning Radar: IT lead supporting supplier for end-to-end development combining external and internal data to predict market behaviour for early warning of economic slowdown
IT Consultant
Daimler Financial Services AG
Internal consultant to business teams of Risk Analytics, Customer 360 and Rolling Forecast for EMEA and Asia Pacific markets
Predicting Customer Sentiment: built end-to-end streaming analytics infrastructure on Azure using sentiment analytics cognitive services and Python
Calue: set up Azure infrastructure to host a Python + Flask web app predicting vehicle residual value using data from mobile.de and autoscout.de, later extended to other markets
Praktikant and Masterand
Daimler Financial Services AG
- Organized a hackathon in Stuttgart with startups from all over the world
- Served as member of jury deciding top 3 startups for an AI-based problem
- Led project with winning startup to deliver a digital solution auto-detecting data quality challenges in large databases using AI
- Wrote master thesis “Machine Learning in Data Quality” using R and KNIME, leading to full-time contract
BI Developer
Essex Lake Group
- Led a team of 3 to deliver end-to-end BI solution using QlikView and AWS for a major US insurance provider
Analyst, IT Consulting
KPMG
- Consulted clients on end-to-end business intelligence technology
- Improved turnaround time for financial and inventory reporting for a manufacturing client
- Tracked inventory and identified supply chain failure points for a telecom client
- Designed and developed analytic solutions with QlikView and SQL
- Audited IT systems for compliance and assurance by KPMG financial audit teams
Industries Experience
See where this freelancer has spent most of their professional time. Longer bars indicate deeper hands-on experience, while shorter ones reflect targeted or project-based work.
Experienced in Automotive (8.5 years), Banking and Finance (2 years), Manufacturing (1.5 years), Professional Services (1.5 years), Telecommunication (1.5 years), and Insurance (0.5 years).
Business Areas Experience
The graph below provides a cumulative view of the freelancer's experience across multiple business areas, calculated from completed and active engagements. It highlights the areas where the freelancer has most frequently contributed to planning, execution, and delivery of business outcomes.
Experienced in Information Technology (12 years), Business Intelligence (11 years), Supply Chain Management (1.5 years), Product Development (1 year), and Project Management (1 year).
Summary
To either lead a company or start one myself and be number 1 in the world in sports-tech for individuals.
Looking for front end roles in driving strategy of an organisation based on data.
Skills
- Data Science: Libraries - Scikit-learn, Nltk; Languages - Python, Spark, Sql.
- Machine Learning: Classification - Decision Trees, Knn, Neural Network Classifiers, Naive Bayes; Fuzzy String Matching - Levenshtein Distance, N-gram, Record Linkage; Deployment - Ml Model As Api, Webapps With Flask, Git + Devops, Artifactory For Mirrors.
- Microsoft Azure Stack: Storage - Blob Storage, Data Lake Generation 1 & 2, Sql Databases, Event Hubs, Goodsync; Processing - Hdinsight Clusters, Databricks, Azure Ml, Azure Functions, Streaming Analytics Job; Orchestration - Data Factory, Arm Templates, Automation Accounts Using Runbooks, Azure Cli, Azure Devops.
- Visualization Tools: Qlikview, Powerbi, Tableau.
- Soft Skills: Communication, Friendly, Organized And Curious To Learn More.
Languages
Education
Magdeburg University
MSc Data and Knowledge Engineering · Data and Knowledge Engineering · Magdeburg, Germany
IIIT Delhi University
BSc Computer Engineering · Computer Engineering · New Delhi, India
Certifications & licenses
Certified Scuba Diver
Driving Security Training For Cars
F2 For Test Vehicles
German License For Cars
Profile
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