About

Shivika K Bisen is a highly skilled Data Scientist with a track record of successfully solving complex problems in the Tech and Computer Software industries. With 3 years of experience in the end-to-end ML/DL models at production, she has developed expertise in building insights and visualizations to identify trends from large datasets and develop data pipelines. Shivika graduated from the University of Michigan, Ann Arbor in Dec 2020 with an MS in Data Science degree. Shivika has a strong foundation in every stage of the ML process, from problem definition to data collection, cleaning, exploratory data analysis, creating data pipeline, building ML model & integrating it with cloud framework, and deploying ML model at the production level, followed by testing & evaluation. Her core skills include expertise in ML (Supervised, Semi-supervised), DL, NLP/Info retrieval Recommendation, Data mining, Insights (analysis & data visualization dashboards), and tools such as Python, SQL, Tableau, R, JavaScript, Excel, Docker, Git. She also has experience working in a big data cloud environment (AWS). Currently, Shivika works as a Data Scientist at Paxafe, where she has developed end-to-end ML predictive models for production as an API using MySQL, Flask & Docker. She has also built insights & data visualizations feature from large datasets using Superset/Tableau Dashboard, python & SQL, developed scalable data pipelines for ML retraining from AWS data lake to data warehouse, and performed data analysis, identified trend/pattern for rare events/anomalies. Shivika has also worked as a Data Science Developer at icatalysts, where she experimented & tested deep learning (DL) algorithms like RoBERTa, GPT3 Transformers model, and implemented sentiment analysis. She has also worked as a Data Scientist (Machine Learning) at the University of Michigan, where she deployed a Search Engine/Recommendation for UN agencies pdfs using retrieval & ranking code with MAP- 0.78 (better than Bing for UN queries) and extracted information from unstructured data (PDF), transformed it to structured data, and summarized text using BERT. Shivika holds a Master's degree in Data Science from the University of Michigan and a B.Tech in Biomedical Engineering from VIT. Her tech stack includes Data Scientist, ML, Research Scientist, AI, Deep Learning, SQL, AWS, test, Python, Docker, Javascript, NLP, Data Warehouse, Big Data, Sentiment Analysis,