Khalil Nayef Email & Phone Number
Who is Khalil Nayef? Overview
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Khalil Nayef is listed as Data Scientist II at TD, a with 1 employees, based in Toronto, Ontario, Canada. AeroLeads shows a matched LinkedIn profile for Khalil Nayef.
Khalil Nayef previously worked as Associate, Liquidity Data Science and Analytics at Rbc and Analyst, Liquidity Analytics Technologies at Rbc. Khalil Nayef holds Master'S Degree, Data Science, 4.0/4.0 from University Of Calgary.
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About Khalil Nayef
I'm an infrastructure and data nerd hoping to make a positive impact on society during my time on this planet. One day I plan to continue my programming career from Space.Recent Project:Plant Time- An end-to-end plant recommendation system developed in my spare time.-Engineered using Cloudformation YAML templates and utilized Lambda functions for automated API querying.-Parsed and securely stored data within a DynamoDB database, ensuring data integrity and high availability.-Integrated CI/CD pipelines via GitHub workflows, automating deployment processes and increasing efficiency.-Developing a classification machine learning model, diligently selecting and engineering features, including UV index, temperature, spatial parameters, and historical weather data, optimizing predictive accuracy.Skills: Programming: SQL (SQL Server, MySQL, PostgreSQL), Python (NumPy, Scikit-learn, SciPy, etc.), Bash, R.Visualization: Tableau, PowerBI (DAX), Python (Matplotlib, Seaborn, Folium, Plotly, Pandas).Tools: AWS (Certified Cloud Practitioner), Azure, ETL, Git, Docker, Kubernetes, IBM Db2, SSIS, SSMS, CI/CD pipelines, Linux.ML: k-NN, XGBoost, Random Forest, Decision Trees, K-Means Clustering, PCA, Statistical Testing, etc.
Khalil Nayef's current company
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Khalil Nayef work experience
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Associate, Liquidity Data Science And Analytics
Analyst, Liquidity Analytics Technologies
-Engineered system architecture and designed end-to-end data pipelines, integrating disparate data sources to enable real-time analytics and performance reporting across multiple departments. - Automated multiple manual operational Excel processes using Python, producing detailed documentation for each automation, and saving the organization dozens of labor hours per month.- Designed and implemented system architecture for the AgenticRAG project, provisioning Azure resources and… Show more -Engineered system architecture and designed end-to-end data pipelines, integrating disparate data sources to enable real-time analytics and performance reporting across multiple departments. - Automated multiple manual operational Excel processes using Python, producing detailed documentation for each automation, and saving the organization dozens of labor hours per month.- Designed and implemented system architecture for the AgenticRAG project, provisioning Azure resources and collaborating cross-functionally with teams across the business to ensure alignment and functionality.- Building complex retrieval-augmented generation (RAG) projects, leveraging AgenticRAG, HyDE, Step-back prompting, and more; improving operational efficiency. Show less
Intern - Liquidity Analytics Technologies
Junior Data Scientist
Engineered, presented, and implemented Machine Learning models for regression and classification; predicted delivery duration, identified critical factors impacting lateness, and improved on-time delivery by 10%.Engineered a customer opportunity model using Python for feature engineering, SVM, PCA, and k-means clustering, boosting sales forecasting accuracy and enabling the sales team to identify high-value prospects.
Junior Data Analyst
Spearheaded migration and containerization of the company's codebase from on-prem to AWS ECS using ECR, Lightsail, Docker, and the AWS SDK.Developed and implemented Python and SQL Server solutions to extract, transform, and load data from IBM Db2 into high-impact automated reports; delivered time savings equivalent to 100+ labor hours per month.Developed automated Python scripts for parsing vendor RPA email processing metrics, visualized using PowerBI dashboards, which… Show more Spearheaded migration and containerization of the company's codebase from on-prem to AWS ECS using ECR, Lightsail, Docker, and the AWS SDK.Developed and implemented Python and SQL Server solutions to extract, transform, and load data from IBM Db2 into high-impact automated reports; delivered time savings equivalent to 100+ labor hours per month.Developed automated Python scripts for parsing vendor RPA email processing metrics, visualized using PowerBI dashboards, which streamlined troubleshooting and enhanced vendor accountability. Show less
Undergraduate Teaching/Research Assistant
Introduced students to Python applications for mathematical finance; including for time-series correlation analysis.Conducted deep research into supervisor’s economics research topic, programming solutions with emphasis on back-testing historical stock market trends and regression to the mean using Python (paper under journal review).Provided 1:1 mentorship to students and evaluated over 100 research essays, exams, and presentations.
Surveying Data Analyst (Geomatics Intern)
Performed advanced spatial analyses and created detailed maps, charts, and tables from data collected through GIS, effectively communicating complex geospatial data to support land mapping and data interpretation.Designed and produced intricate, multi-layered geomatics maps and visualizations that communicated spatial data insights effectively, supporting strategic planning and operational efficiencies.Streamlined GIS workflows for the efficient processing and visualization of… Show more Performed advanced spatial analyses and created detailed maps, charts, and tables from data collected through GIS, effectively communicating complex geospatial data to support land mapping and data interpretation.Designed and produced intricate, multi-layered geomatics maps and visualizations that communicated spatial data insights effectively, supporting strategic planning and operational efficiencies.Streamlined GIS workflows for the efficient processing and visualization of geographic data to be presented to stakeholders, improving the accuracy and timeliness of land survey reports. Show less
Khalil Nayef education
Master'S Degree, Data Science, 4.0/4.0
Bcomm. Economics & Finance, Minor In Mathematics & Computer Science
Frequently asked questions about Khalil Nayef
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What company does Khalil Nayef work for?
Khalil Nayef works for TD.
What is Khalil Nayef's role at TD?
Khalil Nayef is listed as Data Scientist II at TD.
Where is Khalil Nayef based?
Khalil Nayef is based in Toronto, Ontario, Canada while working with TD.
What companies has Khalil Nayef worked for?
Khalil Nayef has worked for Td, Rbc, Northstar Digital Solutions, University Of Guelph, and J.D. Barnes Limited.
How can I contact Khalil Nayef?
You can use AeroLeads to view verified contact signals for Khalil Nayef at TD, including work email, phone, and LinkedIn data when available.
What schools did Khalil Nayef attend?
Khalil Nayef holds Master'S Degree, Data Science, 4.0/4.0 from University Of Calgary.
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