Sara Sawaqed

Experience

• 

  EastNets

  Jun 2018 - Apr 2019

  Bid officer

   Managed the bid qualification (bid go / no go) process for new opportunities. Managed virtual bid teams and inputs from several teams such as sales, marketing, product development, finance, commercial, and legal teams. Prepared and reviewed the commercial aspects of the bid, ensuring all services were included in the final price to the customer. Had experience in anomaly and fraud detection software. Applied Six Sigma tools: SWOT analysis, Benchmarking and competitive analysis, and Prioritization Matrix. Show less

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  Second Step for Software Development

  Jul 2019 - Sept 2020

  Business Analyst

   Led the CMMI project in another country (Abu Dhabi-UAE) as an ATM (Assessment Team Member) during SCAMPI (Standard CMMI Appraisal Method for Process Improvement) assessments presenting all the different projects we had with the Ministry of Education to the CMMI management. Gathered and analyzed customers’ requirements and met their needs. Applied Prioritization Matrix, Risk analysis tools, and Competitive analysis as Six Sigma tools as well as having advanced statistical knowledge. Used the Tableau as a data visualization tool. Played a scrum master role and led a team of developers and testers using the sprint planning and the agile methodology using the JIRA software to plan how and what to work on each sprint (2-3 weeks) by having the daily stand-up meeting (15 mins). Show less

• 

  IA

  Sept 2020 - Feb 2022

  Graduate Research Associate

  Project Research Associate, Machine Emulator Project, Innovation Associates  Gained advanced experience in simulating one of the major retail pharmacy systems through FlexSim and Demo3D software. Created multiple dashboards for data visualization by extracting the data from FlexSim to implement results analysis through Tableau. Gained advanced experience in robot design and emulating the details through FlexSim.  Applied optimization techniques to have a more efficient model. Used Python as a programming language. Presented the work on weekly basis to the advisors, managers, and colleagues.Project Research Associate, Business Intelligence Project, Innovation Associates  Performed predictive analysis and alerting capabilities in the project to help in the decision-making process. Developed dashboards to visualize the frequency of system errors and stop /delay times using Adobe XD and PowerBI. Helped in developing the BI tool to let the users monitor the micro and macro system levels. Helped in building a real-time pharmacy intelligence system to suggest corrective actions that restore lost system capacity. Applied some Six Sigma tools: FMEA, SWOT analysis, and Pareto Analysis as well as Machine Learning Algorithms.  Used correlation and hypothesis testing to have a more accurate BI tool. Show less

• 

  NBC Sports Next

  Feb 2022 - now

  - Supported the development of GOLFPASS and GOLFNOW customer scoring and segmentation algorithms using churn modeling and RFM methods.- Enhanced optimization by resolving code issues for improved efficiency and performance.- Developed and deployed supervised machine learning algorithms for churn models using Python, including XGBoost and logistic regression.- Conducted feature engineering in SQL to boost model performance.- Evaluated churn prediction models with metrics like ROC-AUC and accuracy.- Collaborated with product teams and stakeholders to align models with business objectives.- Facilitated production deployment of the churn model for real-time use.- Developed, debugged, and tested the churn prediction model, ensuring smooth transitions to production.- Led presentations and discussions on targeted marketing and retention strategies. Show less - Utilized operations research techniques, including heuristic and linear optimization, to develop a scalable pricing system for golf courses, optimizing price points based on demand and inventory constraints.- Implemented unsupervised machine learning algorithms, such as K-means clustering, to segment thousands of golf courses for price optimization.- Monitored various supervised machine learning algorithms, including classification trees, XGBoost, and logistic regression.- Created Tableau dashboards for data visualization and tracking insights.- Supported the end-to-end process of model development and deployment, from debugging code to monitoring model performance in the production environment. Show less

  • Data Scientist

    Nov 2023 - now

  • Senior Data Analyst

    Feb 2022 - Nov 2023