Founder - Entrepreneur

• Oct 2020 - Present

Data Scientist

• Apr 2020 - Oct 2020

Data Scientist

• Feb 2020 - Apr 2020

Co-Founder

• Jun 2017 - Jun 2019

Data Science Immersive Fellow

• Jan 2018 - Apr 2018

General Assembly's Data Science Immersive is a 12-week intensive program covering topics such as: - Statistical analysis (distributions, inference methods, sampling, A/B testing and others) - Databases (SQL) - Data cleaning, exploratory data analysis, feature engineering, data visualization - Generalized linear models (GLM), regularization, hyperparameter tuning - Natural Language Processing, web scraping, APIs, recommender systems, Bayesian statistics, time series -… Show more General Assembly's Data Science Immersive is a 12-week intensive program covering topics such as: - Statistical analysis (distributions, inference methods, sampling, A/B testing and others) - Databases (SQL) - Data cleaning, exploratory data analysis, feature engineering, data visualization - Generalized linear models (GLM), regularization, hyperparameter tuning - Natural Language Processing, web scraping, APIs, recommender systems, Bayesian statistics, time series - Tree-based methods, support vector machines, deep neural nets, convolutional neural nets, recurrent neural nets, LSTM, LDA, k-Means and hierarchical clustering, DBSCAN, PCA - Big Data tools (Apache Spark), Scala Show less General Assembly's Data Science Immersive is a 12-week intensive program covering topics such as: - Statistical analysis (distributions, inference methods, sampling, A/B testing and others) - Databases (SQL) - Data cleaning, exploratory data analysis, feature engineering, data visualization - Generalized linear models (GLM), regularization, hyperparameter tuning - Natural Language Processing, web scraping, APIs, recommender systems, Bayesian statistics, time series -… Show more General Assembly's Data Science Immersive is a 12-week intensive program covering topics such as: - Statistical analysis (distributions, inference methods, sampling, A/B testing and others) - Databases (SQL) - Data cleaning, exploratory data analysis, feature engineering, data visualization - Generalized linear models (GLM), regularization, hyperparameter tuning - Natural Language Processing, web scraping, APIs, recommender systems, Bayesian statistics, time series - Tree-based methods, support vector machines, deep neural nets, convolutional neural nets, recurrent neural nets, LSTM, LDA, k-Means and hierarchical clustering, DBSCAN, PCA - Big Data tools (Apache Spark), Scala Show less

Data Scientist

• Jan 2017 - Apr 2017

Applying machine learning to forecast the behavior of the metrics with the strongest impact on key performance indicators (KPIs) of clients' advertising campaigns. Developing and maintaining state of the art optimizing programmatic advertising algorithms, including bidding strategies in real-time auctions (RTB). Applying machine learning to forecast the behavior of the metrics with the strongest impact on key performance indicators (KPIs) of clients' advertising campaigns. Developing and maintaining state of the art optimizing programmatic advertising algorithms, including bidding strategies in real-time auctions (RTB).

Postdoctoral Researcher in Theoretical Physics

• Jul 2015 - Jan 2017

Research in quantum mechanical systems out of equilibrium with several articles published in top-tier international academic journals (see Google Scholar https://goo.gl/u8C1Kf). Work presented at major international conferences such as the American Physical Society March Meeting (2016) and the Annual Meeting of the Division of Atomic, Molecular and Optical Physics (2016). Research in quantum mechanical systems out of equilibrium with several articles published in top-tier international academic journals (see Google Scholar https://goo.gl/u8C1Kf). Work presented at major international conferences such as the American Physical Society March Meeting (2016) and the Annual Meeting of the Division of Atomic, Molecular and Optical Physics (2016).

Graduate Research Assistant

• Jan 2014 - May 2015

Contributed to project "Nonequilibrium Quantum Mechanics of Strongly Correlated Systems" funded by the National Science Foundation (NSF). Published several articles in top-tier peer-reviewed journals (see Google Scholar at https://goo.gl/u8C1Kf.) Publications: https://tinyurl.com/y8g6c9l3 https://tinyurl.com/yd9f8p23 https://tinyurl.com/y7abvr7e https://tinyurl.com/y8opw6a2

PhD Student

• Sep 2009 - Apr 2015

Research in many-body quantum systems, funded by the NYU MacCracken Award and by the National Science Foundation (NSF), with several articles in top-tier peer-reviewed journals (see Google Scholar https://goo.gl/u8C1Kf).

Laboratory Instructor

• Sep 2009 - Dec 2009

This course introduces the most important concepts of 20th-century physics, and what may be some exciting questions for 21st-century physics. We used three of Einstein’s great discoveries as the jumping-off point for our discussion: the photoelectric effect, special relativity, and general relativity. The photoelectric effect was instrumental in the development of atomic theory; special relativity changed our notions of space, time, and energy. In particular, the famous E=mc^2 is… Show more This course introduces the most important concepts of 20th-century physics, and what may be some exciting questions for 21st-century physics. We used three of Einstein’s great discoveries as the jumping-off point for our discussion: the photoelectric effect, special relativity, and general relativity. The photoelectric effect was instrumental in the development of atomic theory; special relativity changed our notions of space, time, and energy. In particular, the famous E=mc^2 is the basis for our entire knowledge of stars and their evolution. General relativity changed our notions of gravity and allowed the possibility of strange objects like black holes. Together these ideas have also changed our notions of how the universe is changing and its future. Along the way, we encountered the mysterious dark matter and dark energy, seen only through their gravitational interaction.

Junior Manager (Research and Planning)

• Sep 2006 - Sep 2008

Research & Planning, Senior Specialist 1) Creating models to quantify the impact of general marketing activities on sales. 2) Helping to define media strategies by utilizing quantitative models to estimate the impact of different media activities on sales. 3) Developing and maintaining sales forecast models for the company’s existing products. 4) Conducting feasibility analysis for potential acquisitions and new product launches. Research & Planning, Senior Specialist 1) Creating models to quantify the impact of general marketing activities on sales. 2) Helping to define media strategies by utilizing quantitative models to estimate the impact of different media activities on sales. 3) Developing and maintaining sales forecast models for the company’s existing products. 4) Conducting feasibility analysis for potential acquisitions and new product launches.

Mergers & Acquisitions, Analyst

• 2005 - 2005

1) Developed detailed merger/acquisition valuation models for both public and private companies. 2) Evaluated comparable companies and transactions to analyze acquisition targets. 1) Developed detailed merger/acquisition valuation models for both public and private companies. 2) Evaluated comparable companies and transactions to analyze acquisition targets.

Teaching Assistant

• Aug 2004 - Dec 2004

Advanced Calculus (Differential and Difference Equations) Advanced Calculus (Differential and Difference Equations)