Preethi Gonnabathula

• Actively involved in analyzing root causes combined with an in-depth understanding of business impact to validate, categorize, and prioritize incidents and service requests aligned with procedures and needs
• Ensuring daily and monthly batches are processed and SLA for downstream delivery were achieved by managing over 50 customer calls per day.
• Performing multiple automation and INC reduction as part of organization's goal that has an impact on next year’s budget fixing
• Publishing Treasury reports for daily batch processing. Handling end-to-end management of various issues to ensure minimum impact in terms of submission or regulation.

Junior Machine Learning Engineer [OPEN-SOURCE] Omdena, Remote, Part-time, India

Cardiac Arrest prediction with a seed-stage startup Transfomative.AI -

• Worked on building a simple end-to-end custom model using RNNs and SLP, training it on patients’ vitals and static data, and making predictions of ”Sudden Cardiac Arrest”.
• Predict cardiac arrest in ICU patients based on their static data like age, ethnic origin, and medications, and vitals include time-series features like heart rate, systolic blood pressure, diastolic blood pressure, temperature, etc.

Created a cutting-edge recommendation system catering to bilingual children's language learning needs at the renowned organization, Poikilingo.

• This innovative system harnesses the power of clustering and Collaborative filtering techniques to thoroughly analyze the language profiles and preferences of individual users.
• The outcome is a set of personalized language learning plans, tailor-made to suit each child's unique linguistic journey