Pratiksha Ravindra Reddy

Experience

• 

  ARRIS

  Jun 2018 - May 2019

  Machine Learning Intern

  * Spearheaded efforts to address the challenging task of failure classification for Gateway systems like DOCSIS Touchstone* Identified the rare class analysis problem within data mining and machine learning, highlighting its significance in failure classification* Overcame obstacles such as the scarcity of real-world data by collecting failure logs from Touchstone TG2492LG-LC spanning 142 days* Developed a comprehensive set of features to accurately capture failure characteristics, laying the groundwork for effective prediction models* Utilized Convolutional Neural Network (CNN) techniques and implemented transfer learning strategies to enhance the predictive capabilities of existing models* Presented the findings and methodologies of this work as a technical paper and prototype presentation Show less

• 

  CommScope

  Jun 2019 - Nov 2021

  * Applied insights from internship experience to prototype an AI driven automatic log classifier for a Remote PHY device (RPD) . * Implemented similar methodologies to develop tailored solutions for RPD products, demonstrating the transferability and effectiveness of previous work.* Designed and developed a framework to filter through million logs to build dataset of top critical issues* Crafted a working prototype of an AI-driven defect classifier boasting a 90% accuracy rate, substantially diminishing the team's manual workload* Successfully resolved 90% of critical customer issues within agreed-upon timelines, ensuring high customer satisfaction and retention rates.* Contributed to the development of 10 new RPD product features, enhancing product competitiveness and driving a 20% increase in market share.* Identified and resolved 75% of existing product flaws through rigorous debugging processes, resulting in a 30% reduction in customer-reported issues.* Participated in 5 client debugging sessions, providing valuable insights and contributing to a 25% improvement in product performance metrics. Show less

  • Senior Data Engineer

    Sept 2021 - Nov 2021

  • Data Engineer

    Jun 2019 - Oct 2021
• 

  CITADEL PRECISION MEDICINE

  Nov 2021 - now

  • Led the migration of API stack from Flask to FastAPI framework, reducing response time from 2s to 10 ms• Achieved a 30% reduction in AWS billing expenses by migrating API microservice from AWS Lambda to dockerized application hosted on EC2 instance• Integrated AWS managed Airflow into ETL/ELT workflows, automating 10+ tasks• Developed end-to-end ETL pipeline to ingest data from 12 different data sources using AWS Redshift, Python, Airflow• Integrated Optimized ETL workflows using AWS Glue, resulting in a 30% reduction in processing time.• Developed and executed SQL queries, optimizing database performance by 30%• Authored 50+ Cypher queries for facilitating intricate graph traversals • Developed pipelines for unstructured data like patient imaging records and further fed them for machine learning models/algorithms using AWS S3, Python and RabbitMQ• Led collaborative research that accelerated the implementation of the OMOP common data model and utilization of OHDSI tools for EMR/EHR data within a 15-day timeframe• Created reusable Terraform modules for AWS resources, ensuring secure and efficient infrastructure management.• Contributed towards designing of data model and various services like user roles and messaging• Trained 10 junior team members, fostering their growth and contributing to the overall’s team knowledge• Collaboration with cross-functional teams, including healthcare domain experts, data scientists, PMs, UI designers to understand user requirements and translate them into actionable data task • Engaged in agile planning sessions for >10 data features, contributing to scrum user story creation Show less * Developed a data transformation tool leveraging Pandas and Streamlit, decreasing 90% of manual data processing* Developed Terraform modules for defining AWS resources like S3 buckets, EC2, SQS* Optimized file upload process through streamlined event-driven architecture using S3, SNS, and SQS, resulting in a 60% reduction in upload time* Designed and developed RESTful APIs using Flask framework and PostgreSQL for Citadel's application* Contributed building a data dictionary for IDMP ontology creation, ensuring pharmaceutical regulatory compliance Show less

  • Senior Data Engineer

    Jul 2022 - now

  • Data Engineer

    Nov 2021 - Jun 2022