Summary
Overview
Work History
Education
Skills
Languages
Languages
Websites
Timeline
Generic

Edgar Jimenez

Concord,NC

Summary

Data Scientist, Skilled in Python, Machine Learning and Deep learning models and cloud technologies. Strong information technology professional with a Master's degree focused in Data Analytics. Highly-motivated employee with desire to take on new challenges. Strong worth ethic, adaptability and exceptional interpersonal skills. Adept at working effectively unsupervised and quickly mastering new skills.

Overview

13
13
years of professional experience

Work History

Consultant Data Scientist

A&E Engineering
Concord, NC
06.2022 - Current
  • Offering Data Scientist services by project. Currently I provide based on project, services related with development data science solutions.
  • Time Series predictions for production lines.
  • Anomaly detection and predictive maintenance for machines and IoT production robots.
  • Generative AI chatbot using bedrock, sagemaker, langchain and embedding models.
  • Development custom RAG using pinecone, pgvector, langchain and LLM.

Data Scientist

Premier Inc
Charlotte, NORTH CAROLINA
03.2020 - Current
  • Performed exploratory analysis on large datasets using SQL and Python libraries such as Pandas, NumPy, Scikit-Learn, and Matplotlib. tensorflow, pytorch
  • Developed machine learning algorithms to predict customer churn rates.
  • Utilized natural language processing techniques to extract meaningful insights from unstructured text data.
  • Conducted feature engineering activities such as variable selection and transformation for building effective prediction models.
  • Developed predictive models using machine learning, natural language and statistical analysis methods.
  • Developed Compute vision models for semantic segmentation in documents.
  • Automated model training, deployment and validation using airflow, sagemaker, s3, git

Machine Learning Engineer

Volkswagen Financial Services
Braunschweig, Lower Saxony
12.2018 - 09.2019
  • Currently I am a work-student as Machine Learning Engineer performing different tasks related with optimisation in different areas to obtain value in the different departments of VW FS using Machine and Deep learning techniques
  • I am collaborating with others Data Scientists to find the best model to fit different optimization problem
  • My tasks included research different model and implemented to find the best solution
  • For the implementation I am using different technologies like tensorflow, keras, sklearn, also in my tasks include handle big amount of data to prepare in order to be able to train into the models, using Spark, pandas, numpy, etc, and compare and report result
  • We are working in a Cloud infrastructure mounted and manage with AWS services.

Data Analytics

Hildesheim University
Hildesheim, Lower Saxony
08.2017 - 06.2019
  • I had worked in a research project at the University as part of the Master's program related with Data Analytics using machine learning and deep learning models
  • Using regression and classification algorithms
  • I had worked in images recognition using CNN, also a project in the Finances area trying to predict stock market using RNN-LSTM where my team and I, where we were able to submitted and presented a paper in the ECDA 2019 with the title Algorithmic Trading Using Long Short-Term Memory Network and Portfolio and in the process to publish the paper as part of the Data Analytics magazine community.

Cloud Deployment Engineer

Ericsson
Dallas, Texas
06.2015 - 06.2017
  • My main activities was as technical lead deploy, designing and implementing OpenStack services as principal solution for Cloud infrastructure for different Ericsson's Client across different data canters in USA, Europe and Asia
  • My main tasks included: Design and Deploy OpenStack environment
  • Configuring environment
  • Bug Fixing
  • Automation development, Supporting the environment.

System Engineer

Intel
Guadalajara, Jalisco
01.2011 - 06.2015
  • At Intel my role was in Automation Group in IT hosting engineering
  • Involved In Open Source technologies, more focus in OpenStack, development in python and scripting (powershell, bash, visual basic scripting)
  • Also, I participated in projects that my role as developer in Microsoft technologies (.Net
  • SQL Server, WCF, WPF, WorFlow)
  • I supported enterprise self service provisioning tools, in windows and Linux OS, using virtualization technologies hosted in KVM, VMware and Hyper-V and connected with other enterprise tools for networking, monitoring and patching.

Education

Master of Science - Machine and Deep Learning

University of Hildesheim
09.2019

Bachelor of Science - Computer System Engineering

ITESO
12.2011

Skills

  • Python
  • Database (SQL, RDS, dynamo, athena)
  • Machine Learning (Numpy, Pandas, Sklearn)
  • Linux
  • Deep Learning (tensorflow, pytorch)
  • Data Analysis
  • Computer Programming
  • Cloud Computing
  • AWS services (S3, sagemaker, Lambda, ECR, ECS, VPC,)
  • Generative AI (chatbot, RAG, embedding)
  • LLM finetune (llama2, huggingface, sagemaker)
  • Automation (git, aiflows, mlflow)

Languages

Spanish, Native speaker German, B1 English, Highly proficient

Languages

English
Full Professional
Spanish
Native/ Bilingual

Timeline

Consultant Data Scientist

A&E Engineering
06.2022 - Current

Data Scientist

Premier Inc
03.2020 - Current

Machine Learning Engineer

Volkswagen Financial Services
12.2018 - 09.2019

Data Analytics

Hildesheim University
08.2017 - 06.2019

Cloud Deployment Engineer

Ericsson
06.2015 - 06.2017

System Engineer

Intel
01.2011 - 06.2015

Master of Science - Machine and Deep Learning

University of Hildesheim

Bachelor of Science - Computer System Engineering

ITESO

Similar Profiles

CREATE PROFILE
Edgar Jimenez