Deepa Krishnamurthy

7+ years experience across Machine Learning ,Data Science, Engineering, and Data Analytics to build successful products. Worked as a Machine Learning/AI engineer across Speech, NLP, Object detection/transfer learning in CRM for about 3 years, data scientist creating several 0 to 1 ML models at scale in personalization (fintech) for 3.5 years, computer vision expert for 1+ years(health tech) and software developer for two plus years. Experienced in data analysis, translating business KPIs to hypothesis and vice versa, prototyping models, performance evaluation of models to meet KPIs, productionalization of the models, data visualization, and running A/B test experiments to analyze live results.

Speaker at 1) Nordic Data Science and Machine Learning Summit, 2019 at Stockholm, and 2) Women in Tech - World Series 2019 at Dublin, Ireland for talk titled "Personalizing purchase experience using Machine Learning"; One among three panelists at Women in Data Science (WiDS, Stockholm) community for the topic titled, “Data Science in Finance”, in Feb 2020.

Programming Languages : Python, R ; Database Languages: SQL, PostgreSQL, PySpark ;Cloud Computing Platforms: Databricks, AWS, Google Cloud Platform ; Machine Learning & Statistics : Transformers, Transfer Learning, Neural networks, recommender systems, Statistical analysis, hypothesis testing, A/B Testing, decision trees, random forest, XGBoost, clustering, Computer vision, Speech processing,