Create machine learning models to predict critical events in startup companies’ lifecycles (such as funding rounds and inflection points) using techniques such as gradient boosting, deep learning and time series analysis, and languages such as Python, R and SQL. Design model monitoring processes and define metrics for monitoring model performance and data drift. Advise and consult model validators as they verify that models meet MRM standards set by regulators.Interview stakeholders to discover user needs for financial products recommendation engine. Analyze customers’ propensity to use financial products in order to inform product recommendations. Examine effects of marketing campaigns to provide insights on lead generation and sales attribution.Design dashboards to display sales and marketing performance metrics using Tableau and SQL. Advise executives on definitions of KPIs used to evaluate and incentivize salespeople. Analyze data on company operations and revenue impacts, and present analysis results to executive stakeholders.

Taught night classes on data science, machine learning and statistics using Python and R.

Built and led a team of data scientists focused on AI/ML model monitoring. Defined metrics and wrote code in Python for monitoring model performance and data drift. Wrote verification code (in R) used to validate the correctness of model monitoring results generated by production code (in Python).Collaborated with UI/UX designer to layout dashboards for displaying model performance and data drift metrics. Led development of dashboards to display model monitoring metrics using Tableau, SQL and MongoDB.

Taught night classes on data science, machine learning and statistics using Python and R.

Interviewed customers to discover user needs for analytics features of a SaaS product that automated Wi-Fi network management. Identified customer segments using K-means clustering. Mined SQL, MongoDB and Elasticsearch databases to gain insight into customer usage and product performance. Analyzed and visualized data using Python, and identified ways to improve product performance using anomaly detection, multivariate regression and time series correlation.

Mined databases to find intellectual property with licensing potential. Conducted research and wrote code to automate database mining using natural language processing, information retrieval algorithms and domain specific heuristics.

Mined databases to identify potential licensees based on technology usage and market share. Analyzed business cases for license agreements and explained use cases for patented technologies.

Mined databases to find intellectual property with licensing potential and to identify potential licensees. Provided data analytics and performed due diligence for acquisitions of up to 160 million dollars.

Generated requirements for and directed the efforts of a team of software and test engineers. Developed signal processing algorithms for 3G wireless modem chips. Designed features such as MMSE equalizers, FEC decoders and CQI estimators, and prototyped those features using C++. Analyzed test and field data to identify issues and optimize performance. Created a roadmap for future products.