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Mahsa Almaeenejad

Senior Machine Learning Modeler

Senior Machine Learning Modeler at HSB - Hartford Steam Boiler

New York, New York, United States

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Mahsa Almaeenejad's Email Addresses & Phone Numbers

Mahsa Almaeenejad's Work Experience

HSB - Hartford Steam Boiler

Senior Machine Learning Modeler

Hartford, Connecticut, United States

HSB - Hartford Steam Boiler

Machine Learning Modeler

January 2019 to March 2020

Hartford, Connecticut

HSB - Hartford Steam Boiler

Data Engineer

March 2018 to January 2019

Hartford, Connecticut

Mahsa Almaeenejad's Education

University of Central Florida

Master's degree, Statistical Computing

2015 to 2017

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Mahsa Almaeenejad's Estimated Salary Range

About Mahsa Almaeenejad's Current Company

HSB - Hartford Steam Boiler

Frequently Asked Questions about Mahsa Almaeenejad

What company does Mahsa Almaeenejad work for?

Mahsa Almaeenejad works for HSB - Hartford Steam Boiler

What is Mahsa Almaeenejad's role at HSB - Hartford Steam Boiler?

Mahsa Almaeenejad is Senior Machine Learning Modeler

What is Mahsa Almaeenejad's personal email address?

Mahsa Almaeenejad's personal email address is a****[email protected]

What is Mahsa Almaeenejad's business email address?

Mahsa Almaeenejad's business email addresses are not available

What is Mahsa Almaeenejad's Phone Number?

Mahsa Almaeenejad's phone (212) ***-*247

What industry does Mahsa Almaeenejad work in?

Mahsa Almaeenejad works in the Insurance industry.

About Mahsa Almaeenejad

📖 Summary

Senior Machine Learning Modeler @ HSB - Hartford Steam Boiler Hartford, Connecticut, United StatesMachine Learning Modeler @ HSB - Hartford Steam Boiler Developing and Implementing Distributed Machine Learning/Statistical Models • Implemented large-scale data processing pipelines using Spark.• Developed XGBoost Models with Bayesian Hyper Parameter Tuning using Spark and H2O to predict Equipment Breakdown Risk on 45 million locations.• Collaborated with the product team to build a Loss Cost Pricing model in order todesign a new IOT Insurance Product• Implementing Markov Chain Model and Network Analysis to understand churn attrition patterns among internal clients From January 2019 to March 2020 (1 year 3 months) Hartford, ConnecticutData Engineer @ HSB - Hartford Steam Boiler Collaborated with Data Science team in designing and developing Insurance pricing models.Implemented large-scale data processing pipelines.Used various Spark APIs over Hortonworks Hadoop Yarn to perform analytics on data in Data Lake. From March 2018 to January 2019 (11 months) Hartford, ConnecticutCVM Analytics: Data Analytics Specialist @ Cigna Developed scripts, procedures, and processes to analyze and support customer marketing (retention and acquisition) programs for all engagement campaigns. Analysed the impact of Preventive Care campaigns on Total Medical Cost by developing the propensity model using internal and external data to create a balanced samples of test-control groups. From December 2017 to March 2018 (4 months) Hartford, Connecticut AreaGraduate Assistant @ University of Central Florida/ Operational Excellence and Assessment Support (OEAS) Coordinated survey data analysis in order to evaluate university operations in academic areas. Collaborated with a small team to design, develop and deploy a web application that houses survey results for University of Central Florida Alumni: Uses SAS/IntrNet, HTML, and CSS to display survey results dynamically based on user inputs.Analyzed qualitative data on student's surveys: text mining and sentiment analysis using R, recommended a predictive model to classify student's comments into different subjects and used LDAVIS package in R to create an interactive web-based visualization of a topic model.Built predictive model to predict the probability of students graduating specific semesterWrote a macro to create reports automatically in SAS with pdf output From August 2016 to May 2017 (10 months) United StatesData Analyst @ Higher Education division of John Wiley and Sons Created predictive models to help company makes sound financial decisions. Reported to the Director of Reporting and AnalyticsUsed clustering approaches to categorize academic programs based on their total enrollments to increase efficiency when creating additional models.Extracted log data using MongoDb and connected to R for further analysis.Completed naive Bayes and penalized regression models to determine student demand for a specific program.Wrote a completely automated program in R that reads color coded excel sheets with different structures and identified data quality issues and formatted multiple data sources at the same time to be used in the modeling later.Collaborated with a small team to implement Markov Chains Models on student data to estimate the probabilities of student’s enrollment in the future semesters. From August 2016 to May 2017 (10 months) Orlando, Florida AreaDecision Science Intern @ Higher Education division of John Wiley and Sons Collected and pre-processed Salesforce data, built regression and neural networks models to predict enrollment and could reduce model error by 50% by using “neuralnet” package in R.Collected data from online sources via web scraping using Rselenium, Rvest, BeautifulSoup.Utilized time-series to better understand seasonality in student demand. From June 2016 to August 2016 (3 months) Orlando, Florida AreaResearch and Teaching Assistant @ University of Central Florida Conducted research on Patient behavior and Sentiment DataPrepared deep analysis reports from social media such as Facebook, LinkedIn and Twitter. - From January 2016 to May 2016 (5 months) Orlando, Florida AreaCo-founder @ IRDM group Collaborated in designing a customer segmentation (RFM models) system for one of the biggest national distribution companies: Collected data using SQL and built the model in R, and deployed the system using Microsoft SharePoint.Developed a hospital maintenance management system using IBM Modeler to detect failure patterns in hospital equipment’s - Milad hospital.Developed a Direct marketing support system and improved the response rate.Developed a fraud detection model by investigating tax statements, using Text mining methods.Cooperated as part of a larger team in collaborative processes to create software E-learning courses for R, Rapid Miner, SPSS Modeler, and Weka.Administrated Iran data mining web site with over 4000 members. From June 2011 to January 2015 (3 years 8 months) Tehran Province, Iran

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Mahsa Almaeenejad's Personality Type

Introversion (I), Intuition (N), Thinking (T), Judging (J)

Average Tenure

1 year(s), 0 month(s)

Mahsa Almaeenejad's Willingness to Change Jobs



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