Sreeja Deb

About Sreeja Deb

Software Engineering 2 (L62) working with the CZE ESE (Customer Zero Engineering, Enterprise Service Engineering) in BIC (Business & Industry Copilot) Org of Microsoft, with 5 years of experience in delivering complex, scalable and high-performing analytics solutions. Focused on leveraging AI to create intelligent and autonomous experiences for business and industry processes. The ESE team works on various initiatives, including the development of platforms and tools that enhance data insights, automation, and customer engagement. Designing, building, and maintaining data warehousing solutions with Big Data for a large user base platform. Building ETL pipelines to consolidate data from multiple sources to provide actionable insights for Microsoft Consulting Services, a multi-million Enterprise solution. Data modeling using advanced analytics and ML to provide descriptive as well as predictive analysis for Microsoft Enterprise solutions. Using the Data Engineering Azure tech stack extensively all while sustaining room for innovation.

Experience

1. Software Engineer 2

   Microsoft

   Feb 2022 — Present · Hyderabad, IN

   MLOps vNext- Driving the design & dev of ESE MLOps architecture to streamline end-to-end machine learning workflows, ensuring scalability, security, & standardization. Leveraging Microsoft Fabric for automated ML modeling, versioning, telemetry, & deployment, while integrating cutting-edge solutions for model monitoring, data drift detection, & retraining. Collaborating with Microsoft product teams to align with the company’s vision of democratizing AI & building a unified data ecosystem, enabling cross-team adoption & innovation for accelerated delivery of ML solutions.• EUDB - As part of the MSFT commitments that protect our customers’ data, responding to customers that want even greater data residency commitments, from PSDI (C+AI org) we promised to go beyond our existing data storage commitments to enable EU regions to process & store all their data within the physical boundaries of EU. Collaborate across platform, with stakeholders & users/downstreams, sustenance team to carry out the process end-to-end. Thus, ensuring no leaks in the remediation as it is a Microsoft wide compliance promise. • Auto Data Tagging - Automated the process of assigning business tags to newly ingested columns from sources & thus saving on resource time & bandwidth. ​The recommendation model is an ensemble model powered by a TF-IDF model & a Word-embedding vector space on already tagged data columns. • Microsoft DPS DnI SPOC- Enhance the sense of empathy & inclusion within Org in a nonconventional way, piloted a sustainable approach to incorporate DnI was piloted for DPS India with Sundeep Kunchala (IDC C+E Leader) & Microsoft HR & legal team. Contributing to the success & well-being of others to build a strong foundation of my Org. This resulted in an increase in DnI ratings for MS Pulse of our team that reflects the shared feeling of empathy & improved culture in the Org over the last year. Story featured in the IDC newsletter for the unique idea that we follow to practice DnI.

Education

• Georgia Institute of Technology

  OMSCS, Computer Science

• Maulana Azad National Institute of Technology

  Bachelor of Technology - BTech, Computer Science and Engineering

  2015 — 2019