About

Aishwarya Jadhav is a highly skilled Tesla Autopilot AI Engineer with over 4 years of relevant experience in Machine Learning, Deep Learning, Applied ML, and Data Science roles. She is a graduate of Carnegie Mellon University, where she earned a Master's degree in Computational Data Science. Aishwarya has also completed a Bachelor of Technology in Computer Engineering from Veermata Jijabai Technological Institute (VJTI). Currently, Aishwarya is working as a Software Engineer Intern - Ads Machine Learning at Google, where she has achieved a 57% WAPE improvement over existing production Time Series Analysis Machine Learning model to predict offline store sales transactions using Ads click data for Consumer Goods brands. She has also developed ML models on TensorFlow over very sparse datasets using imputation to increase the training set by 980% for forecasting daily conversions and spend for petabytes of Search and YouTube click events using Flume pipeline with C++. Furthermore, Aishwarya designed and implemented an algorithm to increase click matches by 11% and overall spend AUC by 5% for signed-in users while preserving user privacy and introducing minimal noise to improve data quality to train more accurate models. She has also analyzed the effects of data distribution shift on model's bias and outlier performances to recommend launch features. Previously, Aishwarya worked as a Technical Manager at Morgan Stanley, where she led a team of 5 to enhance Auto-Ingestion Framework to support automated setups and deployments of complete ETL and AutoML data preprocessing and labeling pipeline, saving over $100,000 per year. She also optimized the end-to-end distributed Machine Learning pipeline by leveraging Spark and Kafka workflows to achieve an improvement of 27% in critical stream processing time, for which she received the 'Outstanding Delivery' award. Furthermore, Aishwarya spearheaded efforts to design and implement strategic and efficient Big Data Hive and SQL workflows on distributed data Hadoop and Teradata platforms, enabling the generation of 1 million new client leads, for which she received the 'Award for Excellence.' Aishwarya's tech stack includes ML, Software Engineer, AI, Data Scientist, Deep Learning, TensorFlow, Search, SQL, Spark, Big Data, Hadoop, Kafka, ETL, and Apache Hive. She is actively looking for full-time opportunities in her field of expertise.