Data Scientist

MIKHAIL KRASNER

Sunnyvale, CA

347-***-****, adkei1@r.postjobfree.com

SUMMARY

Experienced data scientist, fluent in data wrangling, statistical and machine learning modeling, roadmap development, visualization, and business insights. Effective team leader with a track record of delivering complex multi-functional projects across R&D, Product Development, and Marketing. SKILLS:

Analytics: A/B Hypothesis Testing, Experimental Design, Forecasting, Ad-Hoc Analysis Programming: Python, SQL, Tableau, some R

Databases: PostgreSQL, MySQL, Hive, Impala, Apache Spark, Hadoop, Big Query Machine Learning: Scikit-learn (Regressions, k-means, random forest, boosted decision tree, SVM), Deep Learning (PyTorch, Keras, Tensor flow), AWS Sagemaker EXPERIENCE

2019/09 - Present Data Scientist Palo Alto, CA

VMware

● Established a new data governance workflow that led to the development of predictive models and analytics

● Developed a Multi-Touch Attribution model for customer journey across digital marketing channels. The model produced a 4% lift of accuracy of channel budget allocation

● Developed a budget splitting tool that optimizes the allocation of costs across strategies

● Developed a 15% error ROI model that predicts cost per response and helps eliminate underperforming campaigns. Model consists of RF Regressor and ANN 2017/05 – 2019/09 Associate Scientist Redwood City, CA Impossible Foods

● Responsible for statistical analysis of sensory data collected from consumer surveys. Techniques included: clustering, hierarchical linear and logistic regression models

● Implemented NLP models (LDA, K-means, NMF) utilizing unused consumer tasting data that led to tracking changes in consumer perception over 4 years of product iterations

● Developed and implemented a custom solution for analyzing process KPIs and forecasting utilizing Docker, SQL, and Python, which reduced production inefficiencies by 12%. 2017/01 – 2017/05 Researcher Sunnyvale, CA

Stealth Mode Startup

● Identified high-value compound groups by utilizing PCA / k-means frequency band clustering algorithm that led to а 7% increase in predicted KPI (material quality)

● Developed a custom optical character recognition solution for process control operation that reduced troubleshooting time by 80%

2015/05 – 2017/01 Data Analyst / Researcher San Jose, CA Miba Medical

● Developed analytical roadmap for optimization of product KPIs, which led to pre-clinical trial phase of a medical device development

● Automated data cleaning, processing, and visualization steps for scientific equipment that reduced human analysis time by 30%.

EDUCATION

2016/05 – Present Kaggle Projects Contributor San Jose, CA 2014/09-2016/05 San Jose State University San Jose, CA B.S. Chemical Engineering

Contact this candidate