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SciPy

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Nadya, SciPy Developer

- 10+ years in Forecasting, Analytics & Math Modelling - 8 years in Business Analytics and Economic Processes Modelling - 5 years in Data Science - 5 years in Financial Forecasting Systems - Master of Statistics and Probability Theory (diploma with honours), PhD (ABD) - BSc in Finance - Strong knowledge of Math & Statistics - Strong knowledge of R, Python, VBA - Strong knowledge of PostgreSQL and MS SQL Server - 3 years in Web Development: Knowledge of C#, .Net and JavaScript for web development - Self-motivated, conscientious, accountable, addicted to data processing, analysis & forecasting

SciPy

SciPy

Data Analysis

Data Analysis   10 yr.

Python

Python

Viktoria T., SciPy Developer

Data Science engineer with over 3 years of practical commercial experience in Natural Language Processing (NLP), Computer Vision (CV), and Recommender Systems. Available skills in data analysis using machine learning approaches to satisfy business needs, problem-solving, and other tasks in this sphere. A person, focused on obtaining the best results, using all knowledge and skills. Friendly and ready to help the team complete tasks and solve certain problems.

SciPy

SciPy

Python

Python

Computer Vision (CV)

Computer Vision (CV)

Pandas

Pandas

ML

ML

AI

AI

Vladyslav, SciPy Developer

- Data Scientist with 4+ years of experience specializing in delivering insights and solutions using analytics, machine learning, and data science across diverse industries. - Profound technical expertise with Python, utilizing libraries such as pandas, numpy, TensorFlow, and Keras, and deploying solutions with tools like Docker and FastAPI. - Successfully led data science projects focusing on market analytics, computer vision, and content moderation, demonstrating a strong background in ETL pipelines, predictive modeling, and deploying RESTful services. - Holds a Master's in Computer Science, augmented with certifications from Google Cloud and DataCamp, and is proficient in implementing ML methodologies, including NLP, CV, and time series analysis. - Experienced in RDBMS such as MySQL and PostgreSQL, cloud platforms like AWS and GCP, and has practical knowledge of software development life cycles and agile methodologies. - Fluent in English and Ukrainian, embodying strong multidisciplinary team leadership, evident in the management of complex projects and innovative solution development.

SciPy

SciPy

Data Analysis

Data Analysis   4 yr.

AWS ML (Amazon Machine learning services)

AWS ML (Amazon Machine learning services)   4 yr.

Neural Networks

Neural Networks

Data Mining

Data Mining

Business Analysis

Business Analysis

Yurii P., SciPy Developer

- 3 years of experience in Plutus / Cardano smart contracts developer role (Plutus Core, Plutarch) - Cardano ecosystem knowledge - Haskell, Scala, Cabal/Stack, GADTs/Type families, Generics, Servant, lenses, mtl, free monads - senior-level professional - Functional programming with FRP, Redux, Event sourcing, Category theory - OOP, OOD, UML, Design patterns, SOLID, DI. TDD, BDD, Unit, functional, and integration testing - 14 years of experience in software engineering

SciPy

SciPy

Haskell

Haskell   3 yr.

Scala

Scala   2 yr.

Akka

Akka

Plutus

Plutus   2 yr.

Cardano

Cardano

Simon K., SciPy Developer

- 2+ years of experience with Python as a Data Engineer and Deep/Machine Learning Intern - Experience with Data Vault modeling and AWS cloud services (S3, Lambda, and Batch) - Cloud Services: Sagemaker, Google BigQuery, Google Data Studio, MS Azure Databricks, IBM Spectrum LSF, Slurm - Data Science Frameworks: PyTorch, TensorFlow, PySpark, NumPy, SciPy, scikit-learn, Pandas, Matplotlib, NLTK, OpenCV - Proficient in SQL, Python, Linux, Git, and Bash scripting. - Had experience leading a BI development team and served as a Scrum Master. - Native English - Native German

SciPy

SciPy

Python

Python

Roman V., SciPy Developer

- 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.

SciPy

SciPy

Python

Python   6 yr.

OpenCV

OpenCV   6 yr.

Pandas

Pandas   6 yr.

ANINDITA SEN, SciPy Developer

Engineer with 4 years in IT, specializing in analytics, data visualization, and machine learning. Proven track record in Agile project execution and innovative solution design. Proficient in Power BI, Python, R, and various ML techniques. Experienced in database modeling and ETL processes, with certifications in Power BI Data Analyst and expertise in multiple data-centric tools. Skilled in optimizing workflows and algorithms for business intelligence across diverse domains.

SciPy

SciPy   4 yr.

Data visualization

Data visualization   4 yr.

Python

Python   4 yr.

R

R

Microsoft Power BI

Microsoft Power BI   4 yr.

Power Query

Power Query   4 yr.

Anton, SciPy Developer

Software Engineer with a Computer Science and Software Engineering background and 5 years of experience specializing in data analysis, visualization, and backend systems across retail, mobile, and finance domains. Proven expertise in languages such as Python, SQL, and R, supported by strong knowledge of cloud services like AWS and GCP. Skilled in BI tools and data visualization with Tableau, Looker Studio, and programming libraries Matplotlib, Seaborn, and Folium. Experienced in database management with MySQL, PostgreSQL, and NoSQL databases like Redis and MongoDB. Proficient in Data Engineering practices using Apache Spark and ETL/ELT processes with Apache Airflow. Demonstrates advanced capabilities in Machine Learning and Data Science with extensive use of Pandas, NumPy, and Scikit-learn. Committed to DevOps with experience in Docker, Bash Scripting, and version control systems like Git.

SciPy

SciPy   3 yr.

Python

Python

SQL

SQL

Google Charts

Google Charts

Tableau

Tableau

Nikolai, SciPy Developer

Data Engineer with 7 years of expertise in data analytics/science, ETL, and cloud technologies, blending deep healthcare and pharma industry knowledge. Proficient in Python, SQL, and a suite of data engineering tools including, Apache Spark, Airflow, and BI tools such as Power BI. Implemented real-time data streaming using Kafka, and has experience with multiple cloud services from AWS, Azure, and GCP. Key achievements include optimizing SQL database performance, automating data quality checks, and uncovering new drug candidates through computational data discovery—demonstrating a strong fusion of domain knowledge and technical acumen.

SciPy

SciPy   1 yr.

Python

Python   7 yr.

SQL

SQL   7 yr.

JMeter

JMeter   7 yr.

PySpark

PySpark   7 yr.

Apache Airflow

Apache Airflow   4 yr.

Vladyslav S., SciPy Developer

- Senior Data Scientist with deep expertise in Machine Learning and Computer Vision - Proficient in Python, C++, and various data science libraries such as NumPy, Pandas, and scikit-learn. - Holds a Doctor of Philosophy degree in Computer Software Engineering from Kyiv Polytechnic University.

SciPy

SciPy

Python

Python   7 yr.

Taras S., SciPy Developer

Certified Data Scientist bringing an 3+ year commercial expertise, particularly in NLP, CV, and 3D modeling, underpinned by a solid foundation in machine learning and data processing. Commands an advanced proficiency in Python, complemented by adeptness in JavaScript and NodeJS. Demonstrates in-depth experience with Python libraries such as Pandas, numpy, and PyTorch, and excels in deploying solutions with Git, Docker and API development. Proven track record in industries such as SEO and logistics, leveraging statistical models and ML solutions to drive data insights and optimization. Renowned for transforming complex requirements into scalable algorithms and models, with academic credentials in Mechanical and Computer Engineering.

SciPy

SciPy

Python

Python   3 yr.

Node.js

Node.js

Pandas

Pandas

NumPy

NumPy

ML

ML   2.5 yr.

Borys, SciPy Developer

Certified Data Scientist with a strong focus on NLP, CV, and Recommender Systems backed by 4 years of commercial experience. Proficient in Python with a rich toolset including Pandas, numpy, TensorFlow, and Keras. Possesses a solid track record in building products from scratch and devising innovative solutions with machine learning and data processing methodologies. Hands-on experience in deploying scalable solutions using Kubeflow, Docker, and CI/CD practices, complemented by proficiency with various databases such as MySQL and BigQuery. With a Bachelor’s and Master’s degrees in Cybersecurity Engineering, and continued education via a PhD, the engineer exemplifies a deep understanding of computer science fundamentals and data science trends. This technical expertise, combined with domain knowledge in e-commerce and network security, distinguishes the potential candidate as a valuable asset for fostering growth and innovation in technology-driven environments.

SciPy

SciPy

UML

UML

GCE

GCE

MVC (Model-view-controller pattern)

MVC (Model-view-controller pattern)

AWS ML (Amazon Machine learning services)

AWS ML (Amazon Machine learning services)

Python

Python

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2
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3
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FAQs on SciPy Development

What is a SciPy Developer? Arrow

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

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

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

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

If your project involves developing applications or systems that rely heavily on SciPy, then hiring a SciPy 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 SciPy Developers.
Interview: Evaluate candidates through interviews.
Hire: Choose the best fit for your project.

What is the cost of hiring a SciPy 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 SciPy Developers on a part-time or project-based basis? Arrow

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

What are the qualifications of SciPy 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 SciPy 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 SciPy 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 SciPy used?

How and where
  • Image Processing: Analyzing medical images
  • Optimization: Solving complex engineering problems
  • Statistics: Analyzing survey data
  • Signal Processing: Processing audio signals
  • Machine Learning: Implementing algorithms
  • Spatial Data Analysis: Analyzing geographic data
  • Integration: Solving differential equations
  • Interpolation: Filling in missing data points
  • Clustering: Grouping similar data points
  • Simulation: Modeling physical systems

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

Seniority NameYears of experienceResponsibilities and activitiesAverage salary (USD/year)
Junior1-3 yearsDevelop basic features, bug fixes, documentation updates$50,000
Middle3-5 yearsDesign new modules, optimize code, mentor juniors$70,000
Senior5-8 yearsLead projects, architectural decisions, code reviews$90,000
Expert/Team Lead8+ yearsSet technical vision, manage teams, resolve conflicts$120,000

Quick Facts about SciPy.

Facts about
  • SciPy was born in 2001, a child of Travis Olliphant’s genius.
  • Projects like astronomy, biology, and engineering fancy SciPy.
  • To dance with SciPy, you need to befriend Python first.
  • Numpy joins hands with SciPy for a tech tango.
  • SciPy – where math and science throw a funky disco party!

TOP SciPy Related Technologies

Related Technologies
  1. NumPy
  2. Matplotlib
  3. Pandas
  4. SciKit-Learn

What are top SciPy instruments and tools?

Instruments and tools
  • NumPy: Numeric computing tool by a secret society of math wizards, released in the mystical year of 2006
  • Matplotlib: Plotting sorcery from the graph gurus, unveiled in the ancient times of 2003
  • Pandas: Data manipulation enchantment from the alchemists of data science, emerged in the year 2008
  • SciPy: Scientific computation elixir concocted by the sages of academia, first brewed in the year 2001

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