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Roman V., Statsmodels Developer

Last Job: 6 Oct 2023

- Software engineer with 6 years of experience in data science and computer vision. - Proficient in Python, C++, and various data science libraries such as NumPy, Pandas, and scikit-learn. - Experienced in developing real-time computer vision algorithms for iOS and Android devices. - Skilled in dataset gathering, neural network training, and model optimization using Inference Triton Server. - Developed and integrated a face reenactment algorithm for photo editing. - Familiar with DevOps and MLOps tools such as AWS, Docker, and Google Cloud. - Holds a Master's degree in Data Science and a Bachelor's degree in Computer Science from Ukrainian Catholic University.

Statsmodels

Statsmodels

Python

Python   6 yr.

OpenCV

OpenCV   6 yr.

Pandas

Pandas   6 yr.

View Roman

Atilla B., Statsmodels Developer

Last Job: 18 Aug 2023

- 6 years of experience - Senior Data Scientist with specialization in Machine Learning and Computer Vision - Advanced English.

Statsmodels

Statsmodels

Python

Python   6 yr.

TensorFlow

TensorFlow   5.5 yr.

AWS (Amazon Web Services)

AWS (Amazon Web Services)

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Krishna N., Statsmodels Developer

Last Job: 4 Jul 2023

- About 6 years of experience in Data Engineering - Upper-Intermediate English. - Available ASAP.

Statsmodels

Statsmodels

Machine Learning Algorithms

Machine Learning Algorithms   6 yr.

Python

Python   6 yr.

NLP

NLP   6 yr.

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5.0
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5.0
Based on 9 reviews
google
Roman Masniuk August 25, 2023
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Volodymyr August 11, 2023
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Vitalii Stalynskyi August 29, 2023
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Henry Akwerigbe August 30, 2023
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Yuliana Zaichenko June 16, 2024

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FAQs on Statsmodels Development

What is a Statsmodels Developer? Arrow

A Statsmodels Developer is a specialist in the Statsmodels framework/language, focusing on developing applications or systems that require expertise in this particular technology.

Why should I hire a Statsmodels Developer through Upstaff.com? Arrow

Hiring through Upstaff.com gives you access to a curated pool of pre-screened Statsmodels Developers, ensuring you find the right talent quickly and efficiently.

How do I know if a Statsmodels Developer is right for my project? Arrow

If your project involves developing applications or systems that rely heavily on Statsmodels, then hiring a Statsmodels Developer would be essential.

How does the hiring process work on Upstaff.com? Arrow

Post Your Job: Provide details about your project.
Review Candidates: Access profiles of qualified Statsmodels Developers.
Interview: Evaluate candidates through interviews.
Hire: Choose the best fit for your project.

What is the cost of hiring a Statsmodels Developer? Arrow

The cost depends on factors like experience and project scope, but Upstaff.com offers competitive rates and flexible pricing options.

Can I hire Statsmodels Developers on a part-time or project-based basis? Arrow

Yes, Upstaff.com allows you to hire Statsmodels Developers on both a part-time and project-based basis, depending on your needs.

What are the qualifications of Statsmodels Developers on Upstaff.com? Arrow

All developers undergo a strict vetting process to ensure they meet our high standards of expertise and professionalism.

How do I manage a Statsmodels Developer once hired? Arrow

Upstaff.com offers tools and resources to help you manage your developer effectively, including communication platforms and project tracking tools.

What support does Upstaff.com offer during the hiring process? Arrow

Upstaff.com provides ongoing support, including help with onboarding, and expert advice to ensure you make the right hire.

Can I replace a Statsmodels Developer if they are not meeting expectations? Arrow

Yes, Upstaff.com allows you to replace a developer if they are not meeting your expectations, ensuring you get the right fit for your project.

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Table of Contents

How and where is Statsmodels used?

How and where
  • Time Series Analysis: Forecasting sales data
  • Linear Regression: Predicting housing prices
  • Hypothesis Testing: Analyzing the impact of a new feature
  • ANOVA: Comparing multiple groups performance
  • Logistic Regression: Customer churn prediction
  • Outlier Detection: Identifying fraudulent transactions
  • Survival Analysis: Predicting customer lifetime value
  • Clustering: Segmenting customer groups
  • PCA: Dimensionality reduction for image data
  • Time Series Decomposition: Analyzing seasonal trends

Compare Junior, Middle, Senior, and Expert/Team Lead Statsmodels Developer roles

Seniority NameYears of experienceResponsibilities and activitiesAverage salary (USD/year)
Junior0-2 years
  • Basic coding tasks
  • Assist in project documentation
$50,000
Middle3-5 years
  • Develop new features
  • Code review
$70,000
Senior6-8 years
  • Lead project modules
  • Mentor junior developers
$90,000
Expert/Team Lead9+ years
  • Architect solutions
  • Team management
$120,000

Quick Facts about Statsmodels.

Facts about
  • Statsmodels was born in 2010, created by a group of brainy minds.
  • From linear regression to time series analysis, it’s tech for statisticians.
  • If you’re cool with Python and stats, you’re good to dive into Statsmodels.
  • Pandas and NumPy are like BFFs with Statsmodels in the tech world.
  • Ever heard? Statsmodels’ developers are secret fans of Monty Python!

TOP Statsmodels Related Technologies

Related Technologies
  1. Python
  2. NumPy
  3. SciPy
  4. Pandas
  5. Matplotlib

What are top Statsmodels instruments and tools?

Instruments and tools
  • Statsmodels: A Python module that provides classes and functions for the estimation of many different statistical models
  • Pandas: Data manipulation and analysis tool – Released: 2008
  • NumPy: Fundamental package for scientific computing – Released: 2006
  • SciPy: Open-source software for mathematics, science, and engineering – Released: 2001

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