Raneem ElBatrawy

Data Science and Machine Learning Senior Associate

https://talent.gravityer.com/raneem-elbatrawy

Data Science and Machine Learning Senior Associate with 8+ years in Data Analytics & Software Engine

Rochester Institute of Technology

Key Strengths

Strong academic background with an MSc. in Data Analytics - AI & ML, directly aligning with the target role.
Extensive experience in data analytics, machine learning, and AI model development, as demonstrated by the Senior Data Science Researcher role at RIT.
Proficiency in a wide array of data science tools and technologies including Python (Pandas, Numpy), TensorFlow, Keras, Scikit-learn, XGBoost, and various visualization tools.
Demonstrated ability to build and optimize ETL/data preparation pipelines for scalable model training.
Experience in developing predictive, classification, and anomaly detection models, crucial for a senior data science role.
Proven track record in applying data-driven insights to business strategy and operations, particularly in supply chain and sales analytics.
Solid software engineering background (Microsoft, AI Direction, Like Home) provides a strong foundation for MLOps and productionizing models.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's diverse experience across different industries (supply chain, e-commerce, software development, finance, academia) and roles (analyst, software engineer, researcher, teaching assistant) indicates a broad perspective and adaptability. Their continuous pursuit of education and certifications (MSc., Deep Learning AI, Harvard Business School) demonstrates a strong commitment to continuous learning and professional development, which aligns well with a growth-oriented culture. The blend of technical and business roles suggests an ability to bridge the gap between technical solutions and business needs, fostering cross-functional collaboration.

Soft Skills & Operational Fit

The candidate demonstrates strong analytical and problem-solving skills through their various roles in data analysis and software engineering. Their experience in leading procurement and materials analytics, supporting executives, and standardizing KPI frameworks indicates strong communication and stakeholder management abilities. The teaching assistant role further highlights their capacity to explain complex technical concepts. The diverse project experience suggests adaptability and a proactive approach to learning and applying new technologies.

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Skills

SAPSQLPower BIData AnalyticsCost ModelingReportingForecastingInventory ManagementAiMLpredictionClassificationAnomaly DetectionData PreprocessingFeature EngineeringStatistical AnalysisModel EvaluationEtlData PreparationVue.JsNode.JsBackend DevelopmentFront End DevelopmentUI/UXScalabilityPerformance OptimizationRestful ApisCI/CD pipelinesIotPythonMqttOpencvPricing StrategyFinancial AnalysisRisk AnalysisC++C++C++GolangJavaJavaScripttypescriptreactDjangoFlaskHTMLCSSPostmanPandasNumpyRGraphqlTableauPower QueryQlikviewGrafanaPlotlyMatplotlibSeabornTensorFlowKerasScikit LearnXgboostNltkSpacyLangchainOpenAI APIRagHadoopApache SparkDatabricksSnowflakeGoogle BigQueryAmazon RedshiftPysparkMongoDBMysqlPostgresqlData ModelingELTData QualityData GovernanceAgileScrumSdlcJiraConfluenceAzure DevopsGit

Experience

Halliburton

Sr. Regional Supply Chain Analyst

February 1, 2025 – November 1, 2025

India

Rochester Institute of Technology

Senior Data Science Researcher

January 1, 2024 – Present

India

Halliburton

Regional Supply Chain Analyst

October 1, 2023 – January 1, 2025

India

Like Home

Software Engineer Lead

March 1, 2023 – October 1, 2023

India

Astrolab

Teaching Assistant – Computer & Data Science

July 1, 2022 – April 1, 2025

India

AWS Legal Group

Senior Software Developer

February 1, 2022 – March 1, 2023

India

Microsoft

Software Engineer

March 1, 2021 – February 1, 2022

India

AI Direction

Software Engineer

September 1, 2020 – March 1, 2021

India

Souq.com

Sales Business Analyst

April 1, 2017 – May 1, 2019

India

Bloomberg

Financial Analyst

January 1, 2016 – April 1, 2017

India

Certifications

Supervised Machine Learning

Deep Learning AI

March 1, 2025 – Present

Data Science for Business Program

Harvard Business School

March 1, 2024 – Present

Diploma in Project Management

Alison

January 1, 2023 – Present

AWS Academy Cloud Foundations

Amazon Web Services

February 1, 2021 – Present

Key Strengths

Strong academic background with an MSc. in Data Analytics - AI & ML, directly aligning with the target role.
Extensive experience in data analytics, machine learning, and AI model development, as demonstrated by the Senior Data Science Researcher role at RIT.
Proficiency in a wide array of data science tools and technologies including Python (Pandas, Numpy), TensorFlow, Keras, Scikit-learn, XGBoost, and various visualization tools.
Demonstrated ability to build and optimize ETL/data preparation pipelines for scalable model training.
Experience in developing predictive, classification, and anomaly detection models, crucial for a senior data science role.
Proven track record in applying data-driven insights to business strategy and operations, particularly in supply chain and sales analytics.
Solid software engineering background (Microsoft, AI Direction, Like Home) provides a strong foundation for MLOps and productionizing models.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Raneem ElBatrawy

Key Strengths

Cultural & Operational Fit

About

Top Skills

Skills

Education

Experience

Certifications

Key Strengths

Cultural & Operational Fit