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Ralitza V. に連絡

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プロフィール詳細

プロジェクトを作成

★★★★★

☆☆☆☆☆

★★★★★

☆☆☆☆☆

Dr. Ralitza V.に依頼

United States

Data Scientist with 10+ years of experience, specializing in predictive modeling and deep learning.

プロフィール概要

Data scientist with 10 years industry experience who enjoys developing predictive models and deep learning.  Proactively stays up-to-date with latest machine learning techniques.

ACCOMPLISHMENTS:
Deep Learning:
* Develop and train CNN custom loss and WNET architecture for unsupervised semantic segmentation on images. Each image is clustered and areas with similar color are flagged in the same cluster. 
* Write from scratch and train CNN models for semantic segmentation. Fine tune hyper parameters and adjust performance. 
* Train CNN models for object localization based on Single Shot MultiBox Detection. 
* Prototype, build and train LSTM models to classify and forecast sequential data. Models are 98% accurate on test data

Predictive Modeling:
* Develop and implement models for predicting software regressions using random forests and signal processing to create features. 
* Predict demographics (age, gender) of the observed non contractual population using techniques like random forests, boosted trees and ensembles. 
* Develop predictive models (logistic regression, regression trees) to identify matched control groups for marketing campaigns. 
* Develop predictive models (neural networks, regression trees) for seat upsell opportunities, customer referrers and user behavior.
* Develop predictive models for expected customer lifetime (neural networks).

Machine Learning: 
* Develop and implement audience extension algorithm based on locality sensitive hashing.
* Design, develop and implement marketing mix optimization model to minimize expense and maximize revenue using mathematical optimization.

専門分野

サービス

Research
Data & AI

Research Systematic Literature Review, Secondary Data Collection

Data & AI Statistical Analysis, Algorithm Design-Non ML

職務経験

Principal Data Scientist

Decision Sciences

3月 2018 - 現在

Data Scientist

Teradata

3月 2017 - 3月 2018

学歴

Ph.D

University of Massachusetts Amherst

9月 1999 - 9月 2005

認定資格

認定資格の詳細は未入力です。

出版物

JOURNAL ARTICLE

(2011). An investigation of project complexity's influence on team communication using Monte Carlo simulation. Journal of Engineering and Technology Management, Volume 28, Issue 3, Pages 109–127.

(2010). Team Decision Making in Computer-Supported Cooperative Work: How Initial Computer-Mediated or Face-to-Face Meetings Set the Stage for Later Outcomes. Decision Sciences, vol 41(4), pages 933 - 954.

(2009). The net effect of alternative allocation ratios on recruitment time and trial cost. Clin Trials, vol. 6 no. 2, pages 126-132.

(2004). Exploring why more communication is not better: insights from a computational model of cross-functional teams. Journal of Engineering and Technology Management, Volume 21, Issues 1–2, Pages 83–114.

(2003). Examining a curvilinear relationship between communication frequency and team performance in cross-functional project teams. IEEE Transactions on Engineering Management, 50(3), pp.262-269.