Sweekar Revanna

About Sweekar Revanna

Master\'s degree holder in Information Technology with focus on Data Engineering and Data Analytics from University of Stuttgart, Germany.* Senior Data Engineer building end-end data pipelines on cloud platforms - Palantir, Snowflake-dbt etc for Healthcare Operations domain.* Technical Lead for GenAI product built for extracting insights from Healthcare Life Cycle management tool containing Drug Discovery data.* Leading Pipeline Optimization activities leveraging my expertise on PySpark, SQL and Palantir platform.* Research thesis on evaluating the quality assurance strategies for validating the quality of the data and the machine learning model.* Creation of R scripts to evaluate the quality of the data and a machine learning model for a binary classification use case simulating the customer churn analytics.* Web scraping and automating API request calls to different web sites and extracting the data using python.* Data pre-processing and transformation using python, thereby enabling the data scientists and machine learning engineers to carry out the analysis.* Practical experience of ETL using IBM Db2 Warehouse and Azure Blob storage.* Hands-on development experience of NLP algorithms like Keyword search and TF-IDF on cloud platforms like Azure Databricks using pyspark.* Motivated and passionate software programmer with hands-on knowledge on Python, SQL, R, VB script.

Experience

1. Senior Analyst

   Merck Group

   Aug 2022 — Present · Bengaluru, IN

   SENIOR DATA ENGINEER:1. Setting up the connections with different types of sources with Palantir Foundry for ingesting the data.2. Creating the syncs to ingest the raw data onto Palantir foundry platform.3. Cleaning the data and sometimes pre-processing the data to have a tabular structure using PySpark.4. Transforming the data as per business requirements and pushing the data onto ontology layer.5. Pushing the data to the use case and getting the data validated by the respective stake-holders.6. Building end-end pipelines, creating schedules and applying relevant health checks.7. Reviewing the code developed and documents written by the junior colleagues.DATA STEWARD:1. Data requirement analysis, Stake-holder communication, creation of ingestion and enhancement requests, building Data catalog and treasury items.2. Reviewing the cost efficiency of the pipelines and suggesting the optimization techniques.ML DEVELOPER / PRODUCT OWNER :1. Acting as a Product Owner to identify gaps in the current process and develop solutions using OpenAI\'s API and finally package into a Streamlit application.2. Developing solutions for classification and segmentation use-cases.

Education

• Visvesvaraya Technological University

  Bachelor of Engineering - BE, Electrical, Electronics and Communications Engineering

  2008 — 2012

• University of Stuttgart

  Master of Science (M.Sc.), Information Technology

  2016 — 2019

Skills

• Hp Quality Center
• V-Model
• Defect Life Cycle
• Requirements Analysis
• Sql
• Soapui
• Agile & Waterfall Methodologies
• Hp Qtp
• Java
• Agile Testing
• Test Automation
• Python
• Test Planning
• Microsoft Office
• C
• Manual Test Execution
• Eclipse