Pavan P.

Experience

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  Centre of Excellence in Wireless Technology

  Jun 2018 - Jul 2018

  Summer Intern

  Part of the Indigenous 5G Test Bed project that closely resembles a 5G deployment. Implemented RRC Reconfiguration module on 5G Wireless Communications following the 3GPP documentation. Encoded and decoded the RRC messages using BER and PER encoding rules in C++ for measurementconfiguration and Measurement report triggering.

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  Samsung India

  May 2020 - Jun 2020

  Data Scientist

  • Collaborated with a Senior ProductManager to deploy the RKGE recommendation algorithm leveraging Knowledge Graphs, achieving a 30% increase in recommendation accuracy and a 20% boost in user engagement metrics• Generated efficient path-based algorithm for KPRN recommendation model and evaluated with enriched MovieLens 1M dataset for TopK recommendations. Achieved Prec@10 (Top 10) with a 0.086 score.• Deployed in Samsung chatbot for customer service serving 100k customers.

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  Indian Institute of Technology, Madras

  Jul 2020 - Jun 2021

  Graduate Research And Teaching Assistant

  Advisor: Dr. V Srinivasa ChakravarthyThesis : Vision-based Navigation using DRL Techniques • Engineered a virtual environment in Gazebo and ROS software with a team of 4, enabling a bot to autonomously navigate towards a target object while circumventing obstacles.• Presented and Designed a Deep Reinforcement Learning Model by using DQNs & LSTMs, resulting in 22% reduction in navigation time with a 76% precision in expected path.• Engaged with over 20+ undergraduates to evaluate and assess their strengths in Python course, resulting in a 30% improvement in submission rates. Show less

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  PayPal

  Jan 2021 - Jan 2024

  Machine Learning Engineer

  • Conducted comprehensive data analysis and facilitated the onboarding of diverse merchants across various industry verticals onto the Fraud Protection Advanced (FPA) Platform within Braintree, incorporating a real-time transaction fraud model• Expertly recommended and fine-tuned fraud-catching rules using ML techniques to 50+ global merchants totaling $2B annual revenue, resulting in a reduction of fraud by ~ $2 million • Generated and Automated reports on Tableau Dashboards to conduct trend analysis and research on real-time payment volumes by capturing fraud beforehand which leveraged merchant retention by 70%.• Implemented Google’s research paper on TabNet for model explainability with LIME and SHAP on 250k dataset in understanding feature importance for rejected transactions with 67% precision• Designed an end-to-end pipeline by extracting data from Cassandra DB, performing data cleaning, analysis,feature engineering and automating visualizations for ML models, deriving actionable insights• Developed and executed product innovation strategies to mitigate fraud and drive revenue growth in 2 emerging markets—food and grooming—over a 2.5-year period. Led primary research to formulate market-specific customizations, improving market entry success Show less

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  University at Buffalo School of Engineering and Applied Sciences

  Jan 2025 - now

  Graduate Research And Teaching Assistant

  Advisor: Prof. Sreyasee Das Bhattacharjee• Conducted tutorial sessions and provided one-on-one guidance to over 50 students, improving their understanding of SQL, ER modeling, and normalization.• Designed and graded hands-on projects involving database schema design, complex queries, and data integration.• Assisted students in setting up and utilizing PostgreSQL with PGAdmin, Tableau, and Power BI for practical assignments and data analysis.• Collaborated with faculty and fellow GTAs to develop course materials, ensuring a balance between theoretical concepts & real-world applications. Show less