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Vetted Time Series Forecasting developer in Nigeria (UTC+1)
As a full-stack developer with a keen analytical mindset, I combine technical expertise with a commitment to delivering high-impact projects that solve real-world challenges. I bring a balanced skill set that spans from backend development and data analysis to intuitive front-end design, allowing me to approach projects holistically and tackle complex issues with precision. In my recent projects, I led the development of a predictive modeling system for the English Premier League, where I created a custom API to gather, clean, and normalize historical game data. By applying machine learning algorithms to this data pipeline, I developed predictive insights that not only generated accurate game forecasts but also highlighted player performance trends—proving valuable for users looking to make data-backed predictions. Additionally, I built a school management portal using React, a solution that streamlined data management for educators and provided real-time access to critical information, ultimately enhancing productivity and engagement across school communities. I am deeply motivated by projects that require attention to detail and critical problem-solving, especially those with a data-driven focus. Self-motivated and proactive, I have a track record of quickly adapting to new tools and challenges, always keeping usability and scalability in mind. With each project, I aim to create solutions that are not only efficient but also adaptable to future needs, and I am eager to bring this mindset to new opportunities that prioritize innovation and high-quality development.
Vetted Time Series Forecasting developer in Nigeria (UTC+1)
I'm a passionate software engineer with an interest for crafting seamless web and mobile user experiences. Whether it's building dynamic React web apps, innovative React Native mobile solutions, or robust Java and JavaScript systems, I thrive on turning complex ideas into intuitive, user-friendly applications. Always exploring the intersection of creativity and technology, I’m driven by the challenge of delivering scalable, impactful solutions.
Vetted Time Series Forecasting developer in Nigeria (UTC+1)
As a Software Developer with viable years of experience, I have successfully coordinated, managed, and developed various Software as a Service (SaaS) projects, including Single Window Investment Portals, M & E Reporting Systems and an ERP/EMR for diverse parastatals, hospitals and enterprises. My technical expertise span across multiple programming languages, with strong proficiencies in PHP, JavaScript, Python , and MySQL/PostgreSQL. Looking forward, my career aspirations are centered around continuous learning and self-improvement, as I aim to stay at the forefront of technological advancements and contribute to the creation of innovative, scalable software solutions.
Vetted Time Series Forecasting developer in Nigeria (UTC+1)
I am an enthusiastic, team spirited and purpose driven developer with a passion for creativity and innovation. I currently have 4 years of experience building and converting abstractions and models to real life products for the web in spectacular fashion. I excel in solving problems through code and also possess the ability to learn new and challenging concepts quickly.
Time Series Forecasting developer in Nigeria (UTC+1)
I breathe, eat, and live Laravel development. From building scalable web applications to solving complex business problems, I’m passionate about crafting clean, efficient, and maintainable code. Whether architecting APIs or fine-tuning performance, I thrive on delivering solutions that push Laravel to its limits. As a mentor and active member of the Laravel community, I love sharing insights and best practices to help others level up their skills. Recognized among the top 68 Laravel developers to follow by Laravel Daily ([https://laraveldaily.com/people-to-follow](https://laraveldaily.com/people-to-follow)), I’m committed to continuous learning and helping others grow, accelerating my growth as a developer. I see programming as a craft—code is a form of expression. My goal is to write software that’s not just functional, but elegant and efficient, making it easy for future developers to maintain and build upon.
Time Series Forecasting developer in Nigeria (UTC+1)
An experienced Fullstack Software Engineer with software development, data science, and machine learning expertise. Committed to providing innovative solutions, fostering growth through human development, and sharing knowledge. Passionate about blending industry experience with research in machine learning, robotics, and software engineering, while nurturing talent and focusing on education.
Time Series Forecasting developer in Nigeria (UTC+1)
Senior Software Engineer with **6+ years** specializing in **Typescript**, **Node.js**, **Golang**, **Python**, and **distributed systems**. Expert in cloud platforms **(AWS/GCP)** and payment infrastructure. Currently leading engineering at **Daba Finance** to build scalable trading systems. Strong track record optimizing cloud costs and architecting high-performance solutions. Active **open-source contributor** creating developer tools used by the community.
Time Series Forecasting developer in Nigeria (UTC+1)
A product-focused developer with experience building B2C and B2B products. Continuously refining skills to deliver exceptional results.
Time Series Forecasting developer in Nigeria (UTC+1)
I am a motivated professional with problem-solving proficiency and extensive application support and software development experience. I believe in no limits
Time Series Forecasting developer in Nigeria (UTC+1)
I am a Fullstack Software Engineer with half a decade of experience, specializing in developing and optimizing backend systems for dynamic platforms. My expertise lies in creating robust server-side solutions that enhance user experience and ensure efficient data management. I excel in designing and managing database schemas, implementing scalable APIs, and maintaining high standards of data security and compliance.
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Get startedArc offers pre-vetted remote software developers skilled in every programming language, framework, and technology.
Look through our popular remote developer specializations below.
Arc helps you build your team with our network of full-time and freelance Time Series Forecasting developers worldwide.
We assist you in assembling your ideal team of programmers in your preferred location and timezone.
In today’s world, most companies have code-based needs that require developers to help build and maintain. For instance, if your business has a website or an app, you’ll need to keep it updated to ensure you continue to provide positive user experiences. At times, you may even need to revamp your website or app. This is where hiring a developer becomes crucial.
Depending on the stage and scale of your product and services, you may need to hire a Time Series Forecasting developer, multiple engineers, or even a full remote developer team to help keep your business running. If you’re a startup or a company running a website, your product will likely grow out of its original skeletal structure. Hiring full-time remote Time Series Forecasting developers can help keep your website up-to-date.
To hire a Time Series Forecasting developer, you need to go through a hiring process of defining your needs, posting a job description, screening resumes, conducting interviews, testing candidates’ skills, checking references, and making an offer.
Arc offers three services to help you hire Time Series Forecasting developers effectively and efficiently. Hire full-time Time Series Forecasting developers from a vetted candidates pool, with new options every two weeks, and pay through prepaid packages or per hire. Alternatively, hire the top 2.3% of expert freelance Time Series Forecasting developers in 72 hours, with weekly payments.
If you’re not ready to commit to the paid plans, our free job posting service is for you. By posting your job on Arc, you can reach up to 450,000 developers around the world. With that said, the free plan will not give you access to pre-vetted Time Series Forecasting developers.
Furthermore, we’ve partnered with compliance and payroll platforms Deel and Remote to make paperwork and hiring across borders easier. This way, you can focus on finding the right Time Series Forecasting developers for your company, and let Arc handle the logistics.
There are two types of platforms you can hire Time Series Forecasting developers from: general and niche marketplaces. General platforms like Upwork, Fiverr, and Gigster offer a variety of non-vetted talents unlimited to developers. While you can find Time Series Forecasting developers on general platforms, top tech talents generally avoid general marketplaces in order to escape bidding wars.
If you’re looking to hire the best remote Time Series Forecasting developers, consider niche platforms like Arc that naturally attract and carefully vet their Time Series Forecasting developers for hire. This way, you’ll save time and related hiring costs by only interviewing the most suitable remote Time Series Forecasting developers.
Some factors to consider when you hire Time Series Forecasting developers include the platform’s specialty, developer’s geographical location, and the service’s customer support. Depending on your hiring budget, you may also want to compare the pricing and fee structure.
Make sure to list out all of the important factors when you compare and decide on which remote developer job board and platform to use to find Time Series Forecasting developers for hire.
Writing a good Time Series Forecasting developer job description is crucial in helping you hire Time Series Forecasting developers that your company needs. A job description’s key elements include a clear job title, a brief company overview, a summary of the role, the required duties and responsibilities, and necessary and preferred experience. To attract top talent, it's also helpful to list other perks and benefits, such as flexible hours and health coverage.
Crafting a compelling job title is critical as it's the first thing that job seekers see. It should offer enough information to grab their attention and include details on the seniority level, type, and area or sub-field of the position.
Your company description should succinctly outline what makes your company unique to compete with other potential employers. The role summary for your remote Time Series Forecasting developer should be concise and read like an elevator pitch for the position, while the duties and responsibilities should be outlined using bullet points that cover daily activities, tech stacks, tools, and processes used.
For a comprehensive guide on how to write an attractive job description to help you hire Time Series Forecasting developers, read our Software Engineer Job Description Guide & Templates.
The top five technical skills Time Series Forecasting developers should possess include proficiency in programming languages, understanding data structures and algorithms, experience with databases, familiarity with version control systems, and knowledge of software testing and debugging.
Meanwhile, the top five soft skills are communication, problem-solving, time management, attention to detail, and adaptability. Effective communication is essential for coordinating with clients and team members, while problem-solving skills enable Time Series Forecasting developers to analyze issues and come up with effective solutions. Time management skills are important to ensure projects are completed on schedule, while attention to detail helps to catch and correct issues before they become bigger problems. Finally, adaptability is crucial for Time Series Forecasting developers to keep up with evolving technology and requirements.
You can find a variety of Time Series Forecasting developers for hire on Arc! At Arc, you can hire on a freelance, full-time, part-time, or contract-to-hire basis. For freelance Time Series Forecasting developers, Arc matches you with the right senior developer in roughly 72 hours. As for full-time remote Time Series Forecasting developers for hire, you can expect to make a successful hire in 14 days. To extend a freelance engagement to a full-time hire, a contract-to-hire fee will apply.
In addition to a variety of engagement types, Arc also offers a wide range of developers located in different geographical locations, such as Latin America and Eastern Europe. Depending on your needs, Arc offers a global network of skilled software engineers in various different time zones and countries for you to choose from.
Lastly, our remote-ready Time Series Forecasting developers for hire are all mid-level and senior-level professionals. They are ready to start coding straight away, anytime, anywhere.
Arc is trusted by hundreds of startups and tech companies around the world, and we’ve matched thousands of skilled Time Series Forecasting developers with both freelance and full-time jobs. We’ve successfully helped Silicon Valley startups and larger tech companies like Spotify and Automattic hire Time Series Forecasting developers.
Every Time Series Forecasting developer for hire in our network goes through a vetting process to verify their communication abilities, remote work readiness, and technical skills. Additionally, HireAI, our GPT-4-powered AI recruiter, enables you to get instant candidate matches without searching and screening.
Not only can you expect to find the most qualified Time Series Forecasting developer on Arc, but you can also count on your account manager and the support team to make each hire a success. Enjoy a streamlined hiring experience with Arc, where we provide you with the developer you need, and take care of the logistics so you don’t need to.
Arc has a rigorous and transparent vetting process for all types of developers. To become a vetted Time Series Forecasting developer for hire on Arc, developers must pass a profile screening, complete a behavioral interview, and pass a technical interview or pair programming.
While Arc has a strict vetting process for its verified Time Series Forecasting developers, if you’re using Arc’s free job posting plan, you will only have access to non-vetted developers. If you’re using Arc to hire Time Series Forecasting developers, you can rest assured that all remote Time Series Forecasting developers have been thoroughly vetted for the high-caliber communication and technical skills you need in a successful hire.
Arc pre-screens all of our remote Time Series Forecasting developers before we present them to you. As such, all the remote Time Series Forecasting developers you see on your Arc dashboard are interview-ready candidates who make up the top 2% of applicants who pass our technical and communication assessment. You can expect the interview process to happen within days of posting your jobs to 450,000 candidates. You can also expect to hire a freelance Time Series Forecasting developer in 72 hours, or find a full-time Time Series Forecasting developer that fits your company’s needs in 14 days.
Here’s a quote from Philip, the Director of Engineering at Chegg:
“The biggest advantage and benefit of working with Arc is the tremendous reduction in time spent sourcing quality candidates. We’re able to identify the talent in a matter of days.”
Find out more about how Arc successfully helped our partners in hiring remote Time Series Forecasting developers.
Depending on the freelance developer job board you use, freelance remote Time Series Forecasting developers' hourly rates can vary drastically. For instance, if you're looking on general marketplaces like Upwork and Fiverr, you can find Time Series Forecasting developers for hire at as low as $10 per hour. However, high-quality freelance developers often avoid general freelance platforms like Fiverr to avoid the bidding wars.
When you hire Time Series Forecasting developers through Arc, they typically charge between $60-100+/hour (USD). To get a better understanding of contract costs, check out our freelance developer rate explorer.
According to the U.S. Bureau of Labor Statistics, the medium annual wage for software developers in the U.S. was $120,730 in May 2021. What this amounts to is around $70-100 per hour. Note that this does not include the direct cost of hiring, which totals to about $4000 per new recruit, according to Glassdoor.
Your remote Time Series Forecasting developer’s annual salary may differ dramatically depending on their years of experience, related technical skills, education, and country of residence. For instance, if the developer is located in Eastern Europe or Latin America, the hourly rate for developers will be around $75-95 per hour.
For more frequently asked questions on hiring Time Series Forecasting developers, check out our FAQs page.