Turning Ideas
into ML Products.
About
Data Scientist
I am working as a Senior Data Scientist at Continental AG Germany. Currently, I am the product owner of Demand Forecasting Platform for Supply chain management. I am leading the development of this platform which includes adding new data sources, adding new machine learning models, feature engineering etc.
I personally like to work in an entrepreneurial environment with the freedom of working on new ideas which has potential to create new business and significant impact on society. In Germany, I do not see that kind of mindset especially in major companies but you think you are different then I will be happy to have a chat.
Being inspired from TED, I also organise TEDx events at TEDxHannover in the beautiful city of Hannover.
Current Focus: Demand Forecasting | Fraud Analytics | Deep Learning | Predictive Analytics | Rapid Prototyping for ML Applications
Experience
Demand Forecasting in Supply Chain Management
- Explorative Data Analysis
- Feature Engineering
- Machine Learning
- Deep Learning
- Data Visualisation
- Predictive Analytics
Project Experience
European Finance Authority
- Predictive Analytics
- ML models for Probability of Default prediction for loans
- Prototyping in Python, Implementierung in Hive/Impala, Scala & Spark
- Anomaly Detection
- Detection of abnormal data records in AnaCredit dataset
- Web App with Python, Flask, Bootstrap & Docker
- Development of a user guide for Cloudera Data Science Workbench (CDSW) with relevant example models
- Design and implementation of example scenarios
- Implementation in Python and PySpark
Large Automotive Company
- Search Engine Development (NLP)
- Search engine for RfQ Documents
- Webapp mit Python, Docker, Solr Backend
Large Automotive Company
- Robotic Process Automation
- Developing Python robots to automate the travel management processes
Large Retail Company
- Demand Forecasting
- Building statistical models to forecast per product demand for a given store
Internal Showcases
- Data Science Platform
- Developed a platform to host Data Science or Machine Learning use cases
- Fraud Analytics
- Developed a Web application (Dashboard) to detect frauds in financial datasets
- Travel Recommender
- Developed a web application which recommends travel destination to travelers
- Search Engine (Document Classifier)
- Developed a web application which allows to search through unstructured documents (pdf, xls, doc, ppt etc.)
- Demand Forecasting Tool
- Developed a web application which integrates demand forecasting models and allows to forecast daily sales for a given store
Activities
- Explorative Data Analysis
- Feature Engineering
- Data stream Mining
- Machine Learning
- Data Visualisation
- Predictive Analytics
- Anomaly Detection
Projects (Electronic Invoicing)
- Virtual Printer
- BT Server (Basware Transaction)
- FES (Free Email Service)
- CertiPost
Activities
- Error Analysis in FinTech-Datasets (Data Formats: MRT, EDIFACT / UN, XML etc.)
- Providing solutions for smooth end-to-end data delivery
- Regular Expressions for System Automation
Twitter Data Analytics for Event Adaptation
- Role: Requirements analysis, Implementation
- Tools: Flask, Elastic Search, Kibana, Twitter API
- Languages: Python, HTML+CSS(Bootstrap), SQL
Web-Development- Contract Management System
- Role: Team Lead, Front-end Designer, Back-end integration
- Tools: Django, PostgreSQL, PyCharm
- Languages: Python 2.7, HTML+CSS(Bootstrap), SQL
Area and distance calculation of map objects (parking lots, roads, etc.)
- Role: Requirements analysis, Implementation
- Tools: OpenGIS, PostGIS, PostgreSQL
- Languages: Python, SQL
Projects

A web platform to accomodate and facilitate all the data science related tools and techniques.
- PostgreSQL+Flask backend
- Material Design Lite frontend
- User Authentication via Flask Login

A web app developed to detect frauds in financial datasets.
- PostgreSQL+Flask backend
- Material Design Lite frontend
- User Authentication via Flask Login

A search engine which indexes any kind of unstructured files (.doc, .xls, .pdf, .html, .xml) and enable search on these files
- Apache Solr+Flask backend
- Material Design Lite frontend
- Allow indexing mutliple corpuses saparately
- Visualize statistical Analysis of results
- Allows results to be exported as a report

A web app to forecast daily per product demand for a given store.
- PostgreSQL+Flask backend
- Material Design Lite frontend
- User Authentication via Flask Login

A web app for recommeding travel destinations to the travelers.
- Apache Solr+Flask backend
- Materialize CSS frontend
- User Authentication via Flask Login
- Display Maps, Top things to do, Weather information for recommended cities

An IoT based GoPro plugin
- Built with Arduino microcontrollers
- Detects motion in 6 degree of freedom
- Trigger GoPro Camera when an action is detected
- Was part of a startup, I co-founded
Skills
Data Science & Machine Learning






Data Visualization





Big Data






HTML



CSS




Javascript



Back-End






Internet of Things (IoT)


Others




Awards
BMBF, Leibniz Universität | October 2015
- The Deutschlandstipendium (German Scholarship) supports highly talented students at all participating universities in Germany. Universities in cooperation with Federal government provides 300 EUR a month.
Microsoft | June 2016
- Participated in the Internet-of-Things 48-hours Hackathon by Micorosft. We developed a sensor box which measures the environment data e.g. weather and display on a dashboard.
European Commission | April 2015
- European commission sponsored this program to promote entrepreneurship among young students. We found a startup called SensePro and won 2nd prize in the startup pitch competiton.
UP Technical University | April 2013
- An Inter-college tech festival and I participated in competitions on Web designing and System Hacking. I have been awarded 1st and 2nd prize respectively in both the competitons.