MHP – A Porsche Company

- Developing multimodal Retrieval Augmented Generation applications on company data with Large Language Models
- Building an LLM-based Quality Evaluator and ML-based Duplicate Detection Method for Software Bug Tickets

Data Scientist

Bosch Power Tools

- Implementation and evaluation of probabilistic deep learning models for demand forecasting on AWS SageMaker

Master Student Data Science

- Development of a tool for automated data analysis and visualization in SAP Analytics Cloud
- Implementation of time series forecasting and outlier detection models

Working Student Data Science

Mercedes-Benz AG

- Speeding up the assembly process by using machine learning to predict throughput times and errors on Azure Databricks
- Automation of graph visualization for the optimization of assembly analysis

Fraunhofer IPA

- Implementation and evaluation of a generative deep learning model for image data augmentation for cutting edge patterns
- Implementation of scientific papers in Python

Bachelor Student Deep Learning

MAHLE

- Analysis of engine data and application of machine learning for prediction in piston temperature measurement

Intern Data Analysis & IT Project Management

I make learning Data Science effortless for you | Data Science @ Bosch

Hi 👋🏻
I'm Banias, Data Scientist at MHP.

Applying new technologies and methods in Data Science is my passion.

Through my experience and continual learning, I've gained valuable insights and tips that I love sharing with Data Scientists, Machine Learning Engineers and builders like you.

If you're looking for practical advice, helpful resources, and articles on the latest trends or best practices in the field, you're in the right place.

Let's connect and stay updated on the exciting world of Data Science together. Feel free to reach out, read my articles, and let's grow our knowledge and network. :)


Note: My views are my own and don‘t represent my employer.

Banias Baabe

Microsoft

Principal Engineering Manager, Azure Machine Learning

# Azure Machine learning

I work in the Machine learning group in Azure; specifically on the Azure Automated Machine Learning team.

Senior Software Engineer

# Extend Cortana

Our goal is to bridge the gap between user queries and app identification using Cortana - Cortana skills kit (https://developer.microsoft.com/en-us/cortana). I developed a part of the core backend, that powers app identification for a given query.

Software Engineer II in Knowledge and Conversation

# Cortana translation 

Worked on enabling translation answer on Cortana desktop and mobile

 - Developed language understanding model for the answer
 - Integrated with translation service
 - Integrated with the ranker and UX 

Technologies: Machine Learning (TLC), Query Annotation Service, Dialog Engine, Bing answer platform, Bing UX platform, Translation service and several other internal tools

Software Engineer II in Bing Relevance

# Internal secret project with MSR and Office team 

Technologies: Bing answer platform, Bing UX platform, Excel and several other internal tools

# Offline entity annotation 

Our goal is to identify entities from various user queries and try to identify and tag them to the ones in Microsoft Knowledge base . I worked on developing various machine learning based features to annotate parts (or a full web query) to an entity. 

Techniques developed: 
 - Baseline filtering model
 - Fresh queries and entity identification
 - Automatic click feature refresh pipeline

Technologies: Machine Learning (TLC), AEther, Cosmos, Scope and several other internal tools

# Content Ranking 

Our goal is to identify features in web pages that determines the quality of the page. I worked on scaling Detecting Quilted Web Pages at Scale</a> on Bing web corpus and achieved NDCG (https://www.kaggle.com/wiki/NormalizedDiscountedCumulativeGain) in addition to other metrics. 

Technologies: Cosmos, Scope, several other internal tools

Software Development Engineer in Bing Relevance

Indian Institute of Technology, Bombay

# Curating and Searching the Annotated Web (https://www.cse.iitb.ac.in/~soumen/doc/CSAW/)

Our ambition is to annotate mentions of named entities and quantities on billions of Web pages, improve query analysis, and thus, enable searching with entities and relationships at an unprecedented quality and scale. I worked on the scaling part of the problem. Specifically, given a trained model how do we run it at web scale. 

My work resulted in a paper at the World Wide Web (WWW) conference, 2012 Lyon, France. 

Paper: https://www.cse.iitb.ac.in/~soumen/doc/www2012/

# Teaching assistant 
I have worked as a Teaching Assistant for various groups and courses as follows:
1. System Administration group (Jul '10- Dec'10)
2. Project staff under Prof. Soumen Chakrabarti (Jan' 11 - Apr'11)
3. CS 635 - Web Search and Mining - A (Jul' 11 - Dec '11)
4. CS 101 - Computer Programming and Utilization (Jan '12 - Apr'12)

Research interests: Web Search & Mining, Machine Learning, Artificial Intelligence,  Computer Networks. 
Graduate seminar topic: Searching the social web 
Graduate Thesis: Curating and Searching the Annotated Web (http://goo.gl/BJDA8) under Prof. Soumen Chakrabarti(http://soumen.cse.iitb.ac.in/)

Teaching Assistant

Being an APEX Member gives the flexibility to choose one of various dimensions of Software development. As part of my second rotation, I chose to be a Developer in the Relationship experiences division of Microsoft. I worked on the project `Deliver and Store' which handles distribution, maintenance and delivery of content across Microsoft's data centers around the world . My work as a developer was to work to implement key features in the back end to deliver content at increased speeds. I have worked on  C# .NET 4.0, SQL Server.

Software Development Engineer, APEX Member

The Microsoft IT Accelerated Professional Experiences Program (APEX) is rotational program for high potential employees to elevate their career and improve leadership skills through a broadened exposure to Microsoft.

APEX members work on a breadth of projects over a span of two years in IT Engineering, Product Development and Consulting Organizations for a duration of 6 months each in diverse roles such as Development, Testing and Program Management.
In addition APEX Members get a chance to improve their Leadership and Business Skills through on the Job Experiences and Classroom Training’s.

As part of the APEX program, I worked as a Test engineer in the Enterprise experiences division(ExD) of Microsoft. The team I was part of, was working on key software that enables ease of sale of Volume licensing products. I had introduced the usage of Model-driven test case development in the team and had been awarded IT Pro award for Excellence in Execution. The technologies I worked with the technologies - C#, .NET 4.0, Windows Presentation Foundation, Product Studio, Visual Studio Team Test.

Associate Test Engineer, APEX Member

Academic Intern at Microsoft IT, Hyderabad. 

I worked as part of the Business Intelligence group.

Academic Intern

Azri Solutions Pvt Ltd

I worked as an intern in the Ruby on Rails team. I started my work with fixing various bugs in UI widgets embedded in the product. Using the skills developed during the process, I developed and deployed a UI widget to enhance the user interaction over our product.

Intern

I am an Engineering Manager in the Azure Machine Learning group of Microsoft. 

I earlier worked in the Conversation group as part of AI Core where I worked on core pieces in Cortana Skills kit. Prior to that I was part of the Relevance team at Bing, Hyderabad. I used to work on building machine learnt models for various experiences on Cortana. Prior to that, I used to work on using Machine Learning techniques to improve the relevance of Bing results for user queries.

Specialties: Machine Learning, Big Data, Data Analysis

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Banias Baabe

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