Nora Hajjar

Lead Software Engineer, Backend - Product Engineering at ScienceIO
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Contact Information
us****@****om
(386) 825-5501
Languages
  • English Native or bilingual proficiency
  • Spanish Professional working proficiency
  • Arabic Elementary proficiency
  • Portuguese Elementary proficiency

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Kleida Martiro

It has been a great pleasure to know Nora both professionally and personally. During the time we worked together, she showed an impeccable passion and strength in analytics, data and numbers. Nora demonstrated a meticulous attention to detail, great pride in her work, and a very strong ability to work effectively within a team construct as well as independently. Nora fully devotes herself to any project she is working on, delivering an excellent work caliber, and always shows curiosity and is very hungry to learn. Beyond work, Nora is able to engage those around her in a meaningful way, and she always brings a positive energy and friendly vibe with her. I am certain she will be a value added to any team she will join in her future endeavors.

Jacob Beck

Nora and I worked together on two different occasions: First as interns at Allen & Gerristen and then next at DigitasLBI. During both instances, Nora's passion for analytics has shined through. She always wants to look further into the data in order to craft the right story with substantial backup. Beyond the work, Nora has such a positive, friendly vibe to her at all times. People want to be friends with Nora and people want to work with Nora. Not only do people want to work with her, they want to continue working with her project after project as she is a great collaborator who brings a lot to the table. I highly recommend that you consider adding such a dedicated coworker, employee and friend to your team.

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Experience

    • United States
    • Biotechnology Research
    • 1 - 100 Employee
    • Lead Software Engineer, Backend - Product Engineering
      • May 2022 - Present

      ScienceIO uses AI & ML to transform unstructured medical data into structured insights. I am working to build out the product offering - building the backend and infrastructure to process high volumes of data through ML pipelines in order to deliver inference to our users at scale. I am also developing deeper knowledge of ML approaches to unstructured text data, as well as methods to build high volume data & ML products with scalable and performant Dev Ops and ML Ops. ScienceIO uses AI & ML to transform unstructured medical data into structured insights. I am working to build out the product offering - building the backend and infrastructure to process high volumes of data through ML pipelines in order to deliver inference to our users at scale. I am also developing deeper knowledge of ML approaches to unstructured text data, as well as methods to build high volume data & ML products with scalable and performant Dev Ops and ML Ops.

    • United States
    • Investment Management
    • 1 - 100 Employee
    • Founder Fellow - Data Fellowship & Healthcare Fellowship
      • Apr 2022 - Present

      Primary’s NYC Founders Fellowship is a six-month, part-time immersion in business creation for aspiring entrepreneurs to supercharge the next wave of startups. Cohort VI is focused on founders who are building in the data space and are interested in the modern data stack. Cohort VII is focused on founders in healthcare. Primary’s NYC Founders Fellowship is a six-month, part-time immersion in business creation for aspiring entrepreneurs to supercharge the next wave of startups. Cohort VI is focused on founders who are building in the data space and are interested in the modern data stack. Cohort VII is focused on founders in healthcare.

    • United States
    • Hospitals and Health Care
    • 400 - 500 Employee
    • Senior Engineer & Data Engineering Pod Lead - Platform Engineering
      • Jun 2020 - May 2022

      Built out the data platform and data infrastructure for internal and external data consumers. Developed tooling and pipelines to grow the data science practice, and performed machine learning and statistical analysis for the business. Python, SQL, Terraform Built out the data platform and data infrastructure for internal and external data consumers. Developed tooling and pipelines to grow the data science practice, and performed machine learning and statistical analysis for the business. Python, SQL, Terraform

  • Omelas
    • Greater Chicago Area
    • Software Engineer (Backend, Platform, Data, ML) - Engineering Team
      • Jun 2019 - Jun 2020

      Data infrastructure and engineering work at a start-up. + Built data infrastructure in AWS Lambdas and AWS ECS to support data ingestion and machine learning + Designed scrapers and data architecture including inheritance classes and worker files for data ingestion + Developed database design for database system including entity relationship diagrams and writing SQL code + Created logging and error tracking capabilities through AWS with bash code + Committed pull requests and reviewed engineering pull requests through Github + Shipped production ready code in Agile development framework regularly + Programming languages used: Python, SQL

    • United States
    • Consumer Services
    • 300 - 400 Employee
    • Data Analyst/Data Scientist, Pricing & Inventory Team
      • Feb 2017 - Aug 2018

      Data Analyst/Data Scientist on the Pricing & Inventory Team. Focused on core business initiatives including reducing churn, customer segmentation analysis, test design, and implementation regarding revenue maximization, and dynamic pricing. Built statistical models and worked to fine-tune and measure the impact of our pricing algorithm. + Designed, implemented, and analyzed experiments around protecting revenue + Built dashboards and analysis around key initiatives related to retention and improving customer value New Tools and Skills: + Looker (Front-End Design, Back-End Development) + Expert SQL Developer

    • Political Organizations
    • 1 - 100 Employee
    • Targeting Analyst, Analytics & Data Science Team
      • Jun 2016 - Nov 2016

      Driving Strategy and Analysis for Voter Analytics at HFA Programming: + SQL for all data manipulation and queries (PostgreSQL in Vertica DB) + Python for analysis + Tableau for visualization, dashboards and presentations + Lead Analyst for digital targeting strategy across digital persuasion and mobilization programs + Drive communication and collaboration with key stakeholders regarding paid advertising strategy + Present and communicate analysis in the form of powerpoints, reporting, and presentations to key stakeholders + Build analysis using SQL queries in Vertica database, and front end reporting tools including Tableau + Develop key database processes and write queries in SQL to deliver data to the digital team + Create targeting universes based on data models to deliver messages to key constituents across the U.S. + Coordinate complex data pipelines, API connections, and data passback with key partners including Facebook + Optimize campaign paid ads strategy based on data analysis, providing efficient and cost- effective targeting

    • United States
    • Advertising Services
    • 700 & Above Employee
    • Analyst, Strategy & Analysis Team
      • 2014 - 2016

      + Lead Analyst in client-facing role with Bank of America client + Drove business strategy and operations directly with clients through weekly presentation and ideation sessions + Forecasted market trends by building and interpreting analysis of media, site and business data + Ensured ROI by strategizing best practices for campaigns across display, search, mobile, and social + Created data visualizations using Tableau BI Software, including data manipulation, design and publication + Managed client relationship via daily email and bi-weekly/monthly presentations, reports, and status calls + Presented monthly dashboards, readouts and deliverables, directed calls and answered client questions + Collaborated with senior management and internal media teams across strategy, planning, and analytics + Contributed to key decision-making discussions involving the potential of strategy and analytics + Measured digital campaigns using Google Adwords, DoubleClick, Sizmek, etc. + Analyzed web traffic data with Google Analytics and Omniture; tested and optimized landing pages + Wrote, tested, and debugged site code; integrated floodlight tags; QAed HTML code and web layout for client sites New Skills & Programming: + Data Analysis in Python + Database Management in SQL + Data Visualization with front-end web development tools (Javascript D3) + Master Excel, Powerpoint, and Tableau skills (linkage, design, automation)

    • United States
    • Advertising Services
    • 700 & Above Employee
    • Analyst, Insights and Analytics Team
      • 2013 - 2014

      Responsibilities involved Media Analytics including Search, Display, and Mobile market analysis. Business Analytics included building and interpretation of sales, business, and media data, market forecasting, and determination of market segmentation and strategy based on data analysis. Clients include: McDonalds, Huntington Bank, Panasonic, and Remy Martin. + Lead Analyst in client-facing role on six accounts; direct report to Senior Vice President of Analytics + Represented analytics capabilities on owned accounts through presentation of deliverables and analysis + Developed brand strategy, using data and analytics for strategic business development + Coded and built SAINT files for Omniture & SiteCatalyst data; accessed and manipulated warehouse data + Performed targeted marketing with SEO, SEM, ORM, paid search and keyword search + Created segmentation, targeting and campaign strategy based on data and analysis New Skills and Programming (see position below for more): + Artemis (in-house analytics system) + Tableau (creation and manipulation, complex data visualization) + Advanced Excel (Report and Formula creation, visualization, production, and presentation to client) + Omniture/SiteCat SAINT upload/coding and reporting + Site tag coding for media and Google Analytics tags, writing, testing and debugging site code

    • United States
    • Advertising Services
    • 100 - 200 Employee
    • Analyst Intern, Measurement and Analytics Team
      • Jan 2013 - Aug 2013

      Responsibilities include Business Analytics, Web Analytics, Media Analytics (Search and Display reporting) and Social analysis (Facebook, Twitter, Youtube, etc.). Regular reporting and analysis for clients including Ninety Nine Restaurants, Friendly's, Hannaford's, and MFS Investment Management. Excel proficient, built dashboards, databases and modeling for various client projects including sales projections and business intelligence, web and media reporting, social analysis, and quantitative-backed brand strategy. Skills and Programming: + Advanced Excel + Advanced Powerpoint and Data Reporting + Google Analytics + Google Adwords & Google DoubleClick (DFA/DART) + Sysomos Social Analysis + SPSS (statistical analysis) + Facebook, Twitter, LinkedIn Analysis

    • Legislative Offices
    • 700 & Above Employee
    • U.S./Foreign Policy Intern, Senator John Kerry
      • Jan 2011 - May 2011

      - Collaborated with Senator's Office and U.S. Senate Committee on Foreign Relations - Organized committee sessions and budget hearings for office of U.S. Secretary of State - Produced POVs and research on various business and foreign policy decisions facing the Committee - Collaborated with Senator's Office and U.S. Senate Committee on Foreign Relations - Organized committee sessions and budget hearings for office of U.S. Secretary of State - Produced POVs and research on various business and foreign policy decisions facing the Committee

    • United States
    • Legislative Offices
    • 700 & Above Employee
    • Public Policy Intern, Representative Mike Capuano
      • Sep 2010 - Dec 2010

      - Developed POVs and research on MA policy and foreign policy positions for Rep; special attention to House Committee on Foreign Affairs. - Developed POVs and research on MA policy and foreign policy positions for Rep; special attention to House Committee on Foreign Affairs.

    • United States
    • Higher Education
    • 700 & Above Employee
    • Economic Labor Research Associate, Professor Matthew Carnes
      • Jan 2010 - May 2010

      - Analyzed early labor policy and economics in Latin America - Built quantitative research using Excel and SPSS statistical software - Research Credit: "Continuity Despite Change: The Politics of Labor Regulation in Latin America", Matthew Carnes - Analyzed early labor policy and economics in Latin America - Built quantitative research using Excel and SPSS statistical software - Research Credit: "Continuity Despite Change: The Politics of Labor Regulation in Latin America", Matthew Carnes

Education

  • University of Chicago
    Master of Science - MS, in Computational Analysis and Public Policy (MS-CAPP)
  • Georgetown University
    Bachelor of Science - BS, Edmund A. Walsh School of Foreign Service: Political Science, Economics
  • HBX | Harvard Business School
    Core: Credential of Readiness
  • General Assembly

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