Daniel Jimenez
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Daniel Jimenez Email & Phone Number

Senior Gen AI Engineer (Assigned to McKinsey and Company) at Apexon
Location: Vancouver, British Columbia, Canada 9 work roles 5 schools
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Current company
Role
Senior Gen AI Engineer (Assigned to McKinsey and Company)
Location
Vancouver, British Columbia, Canada
Company size

Who is Daniel Jimenez? Overview

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Daniel Jimenez is listed as Senior Gen AI Engineer (Assigned to McKinsey and Company) at Apexon, a with 4131 employees, based in Vancouver, British Columbia, Canada. AeroLeads shows a matched LinkedIn profile for Daniel Jimenez.

Daniel Jimenez previously worked as AI and ML Engineer at Arkangel Ai and Graduate Research Assistant at The University Of British Columbia. Daniel Jimenez holds Master Of Data Science In Computational Linguistics, Computer Science from The University Of British Columbia.

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Apexon

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Profile bio

About Daniel Jimenez

Data Scientist and experience Software Developer with a strong track record at Amazon. Expert in leveraging analytics, machine learning, and software engineering to boost efficiency and engagement. Proficient in AWS and deep learning for innovative solutions. Seeks to merge data science expertise and software skills to foster business growth and actionable insights in a forward-looking role.

Current workplace

Daniel Jimenez's current company

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Apexon
Apexon
Senior Gen AI Engineer (Assigned to McKinsey and Company)
Vancouver, BC, CA
Website
Employees
4131
AeroLeads page
9 roles

Daniel Jimenez work experience

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Senior Gen Ai Engineer (Assigned To Mckinsey And Company)

Vancouver, Bc, Ca

Graduate Research Assistant

Vancouver, British Columbia, Canada

-Achieved 90% recall in developing an AI algorithm for detecting Alzheimer's disease through speech and text models, with the potential to positively impact over 55 million individuals affected globally.- Streamlined policy-making for 121,000 war victims using web scraping and RAG techniques with LangChain and LLMs in the Department of Economics.-30% improvement in a psychology test by annotating extensive corpora with a dependency parser, enhancing data quality for machine learning projects.

Mar 2024 - Aug 2024

Computational Linguist Engineer

Canada

- Built a knowledge base with detailed information on 8,000+ companies, enabling targeted marketing and improving product sales strategies.- Achieved an 80% increase in engagement rates by creating a message generation pipeline using NLP and LLMs for personalized outreach messages.- Scraped specific information from 10,000+ websites by developing an agent scraper algorithm using NLP theory, embeddings and Selenium, streamlining data extraction.

Apr 2024 - Jul 2024

Software Development Engineer

Remote

-Increased 2,000+ data analysts decision-making efficiency for customer service with advance dashboards in Javascript, ReactJS, D3.js, Redux RTK.-Empowered over 300+ customer service leaders by architecting scalable services and RESTful APIs in TypeScript, ExpressJS, and NodeJS

Jul 2022 - Aug 2023

Business Intelligence Analyst

Remote

- Achieved 90%+ accuracy in machine learning models (regressions, time series, neural networks), enhancing operational marketing decisions using Scikit-learn and PyTorch.- 30% boost in product optimization and development through strategic ML model selection and feature engineering using EDA insights.ˆ- Achieved a 50% reduction in data processing time, significantly accelerating project timelines by streamlining data preprocessing workflows with Python.

Jul 2021 - Jul 2022

Information Technology Intern

Remote

- Benefited 9,000+ Amazon employees by developing critical internal tools with JavaScript, React, Flask, NodeJS, enhancing usability and productivityˆ-Analyzed 500,000+ customer service transactions using Python (Pandas, Matplotlib) to visualize data, identify key trends, and inform strategic decisions.

Feb 2021 - Jul 2021

Professor

Bogotá, Capital District, Colombia

- Introduced art students toAI and deep learning concepts, applying low code resources to create art projects, which fostered an understanding of how modern AI techniques can innovate artistic expression.- Instructed 35 students per term in programming languages and frameworks focus in creative coding, such as ThreeJS, Arduino, C++ and D3js.- Mentored students in project-based learning, offering personalized guidance and feedback to help them develop innovative digital artworks and interactive projects.

Aug 2022 - Jun 2023

Data Scientist Junior

Aqstica S.A.S

Bogotá, Distrito Capital, Colombia

- 20% improvement in targeted marketing and product strategies by segmenting customers using applied statistics and unsupervised learning in Python (scikit-learn).ˆ- Automated data cleaning and transformation with Python, SQL and MongoDB, enhancing data quality by 25% and cutting processing time by 40%

Feb 2018 - Nov 2020
Team & coworkers

Colleagues at Apexon

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5 education records

Daniel Jimenez education

FAQ

Frequently asked questions about Daniel Jimenez

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What company does Daniel Jimenez work for?

Daniel Jimenez works for Apexon.

What is Daniel Jimenez's role at Apexon?

Daniel Jimenez is listed as Senior Gen AI Engineer (Assigned to McKinsey and Company) at Apexon.

Where is Daniel Jimenez based?

Daniel Jimenez is based in Vancouver, British Columbia, Canada while working with Apexon.

What companies has Daniel Jimenez worked for?

Daniel Jimenez has worked for Apexon, Arkangel Ai, The University Of British Columbia, Rocketbrew, and Amazon.

Who are Daniel Jimenez's colleagues at Apexon?

Daniel Jimenez's colleagues at Apexon include Vidyashree Tn, Priya Ki, Afzal Khan, Sridharan Aruchamy, and Kaushik Guru.

How can I contact Daniel Jimenez?

You can use AeroLeads to view verified contact signals for Daniel Jimenez at Apexon, including work email, phone, and LinkedIn data when available.

What schools did Daniel Jimenez attend?

Daniel Jimenez holds Master Of Data Science In Computational Linguistics, Computer Science from The University Of British Columbia.

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