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Vetted Dash developer in the United States (UTC-4)
I hold a Master's in Computer Science with a focus on Artificial Intelligence and have extensive experience as both a Data Scientist and Full Stack Developer. In my current role at DTN, I develop machine learning models for commodity demand forecasting and implement LLM-based solutions, while my previous position at Gro Intelligence involved leading full-stack development of web applications, and developing data pipelines for large numbers of time series. I'm proficient in Python (including pandas, scikit-learn, and various ML frameworks), Javascript, C#, and AWS services. My unique combination of ML expertise and full-stack development skills allows me to tackle complex technical challenges from both development and data science perspectives. I've successfully deployed production systems ranging from data pipelines to interactive web applications, and have experience working with Unity3D for simulation and VR development.
Vetted Dash developer in the United States (UTC-4)
I am [Gopal Chitalia](https://scholar.google.com/citations?user=QncMQEIAAAAJ&hl=en), a graduate student at Purdue University and working with Prof. [Jan Anders Mansson](https://www.purdue.edu/engineering/mdlab/mansson/) on fault detection in motors using deep learning in a joint project with Wistron. Additionally, I'm working with Prof. [Junjie Qin](https://engineering.purdue.edu/people/junjie.qin.1) on transfer learning application using LLMs for optimizing power networks. I have had the privilege of working at [Center for Building Science Lab](https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Fcbs.iiit.ac.in%2F&data=05%7C01%7Cgchitali%40purdue.edu%7C9ca93da4ba36440447b708db86ccdfe0%7C4130bd397c53419cb1e58758d6d63f21%7C0%7C0%7C638251986720958299%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=UCjKsb98EbNq8jGvbf%2F5TEETyHMI1gnMx20lLBeQmog%3D&reserved=0) under the supervision of Prof. [Vishal Garg](https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Fscholar.google.co.in%2Fcitations%3Fuser%3DvyH26MIAAAAJ%26hl%3Den&data=05%7C01%7Cgchitali%40purdue.edu%7C9ca93da4ba36440447b708db86ccdfe0%7C4130bd397c53419cb1e58758d6d63f21%7C0%7C0%7C638251986720958299%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=pDBa4RZtT0eg4rN%2FdvVtv3q%2F6goK1EEVT6%2F6UeGPcw4%3D&reserved=0). I have previously been a Research Assistant/Visiting ML Scholar at the [Smart Grid Research Unit](https://nam04.safelinks.protection.outlook.com/?url=http%3A%2F%2Fwww.sgru.eng.chula.ac.th%2F&data=05%7C01%7Cgchitali%40purdue.edu%7C9ca93da4ba36440447b708db86ccdfe0%7C4130bd397c53419cb1e58758d6d63f21%7C0%7C0%7C638251986720958299%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=UAp49aqIF2oxM3WIO5IS68gTyMLeYsKR5ENaosJMhvk%3D&reserved=0) (SGRU) under [Manisa Pipattanasomporn](https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Fscholar.google.com.sg%2Fcitations%3Fuser%3D4W2KIQkAAAAJ%26hl%3Den&data=05%7C01%7Cgchitali%40purdue.edu%7C9ca93da4ba36440447b708db86ccdfe0%7C4130bd397c53419cb1e58758d6d63f21%7C0%7C0%7C638251986720958299%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=Pey86yYp3KpRPj9d9a97nzxLxQGMkQrN%2BFASqUqyheQ%3D&reserved=0) (Adjunct Faculty, Virginia Tech). In addition to my academic pursuits, I have also contributed to the industry in the domains of Energy Efficiency, IoT, and Machine Learning. I have worked at [ClevAir](https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Fclevair.io%2Fen%2F&data=05%7C01%7Cgchitali%40purdue.edu%7C9ca93da4ba36440447b708db86ccdfe0%7C4130bd397c53419cb1e58758d6d63f21%7C0%7C0%7C638251986720958299%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=nonCkudNp3cFUL2CNs6rMHm0HyQXSnh9lhoJ76s5xus%3D&reserved=0) (Norway) as a **Data Scientist** and Growthworks.ai (CA, USA) as an **ML Scientist/Energy Demand Expert**. My research work on predicting short/long-term energy prediction in office/residential buildings using machine learning is published in [Applied Energy](https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.sciencedirect.com%2Fscience%2Farticle%2Fabs%2Fpii%2FS0306261920309223%3Fvia%253Dihub&data=05%7C01%7Cgchitali%40purdue.edu%7C9ca93da4ba36440447b708db86ccdfe0%7C4130bd397c53419cb1e58758d6d63f21%7C0%7C0%7C638251986720958299%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=V%2Bq5MVSeJ7deNpE%2F%2FEP1PYrsrEVWEH%2FwNK1yAG4CPlM%3D&reserved=0). The results improve the state-of-the-art results by 20-40%. I am also an active reviewer at Applied Energy. Furthermore, I have collaborated on a building-level dataset paper which has been published in [Nature Scientific Data](https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.nature.com%2Fsdata%2F&data=05%7C01%7Cgchitali%40purdue.edu%7C9ca93da4ba36440447b708db86ccdfe0%7C4130bd397c53419cb1e58758d6d63f21%7C0%7C0%7C638251986720958299%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=rtv6fVxtvuYsk5NAwwR8ujauC1AfX9cs32w4evIj%2BZU%3D&reserved=0). Previously, I have also worked with Prof. [Jyotirmay Mathur](https://scholar.google.co.in/citations?user=AmGPPL4AAAAJ&hl=en) at the [Centre for Energy & Environment](http://www.mnit.ac.in/dept_cree/index.php), MNIT Jaipur on Predicting time ahead heating/cooling energy demand HVAC systems. Moreover, as an independent research student, I also collaborated with Prof. [Praveen Paruchuri](https://scholar.google.com/citations?user=ILUqgKEAAAAJ&hl=en) of [Machine Learning Lab](https://mll.iiit.ac.in/), IIIT-H for Reinforcement Learning (RL) applications for controlling HVAC systems.
Vetted Dash developer in the United States (UTC-5)
I am a senior data scientist with expertise in managing large volumes of data and conducting analysis using machine learning and deep learning techniques. I have worked in the finance and technology sectors, holding advanced degrees and diverse skill sets. My experience includes implementing predictive modeling, facilitating conversations on key trends and risks, and devising work plans for teams. I have also generated trading ideas, deployed real-time data gathering systems, and communicated findings to stakeholders. Additionally, I have developed algorithms for facial movement and speech analysis, improved autonomous driving capabilities, and published research in ML/AI. My skills include programming languages such as Python, Matlab, and R, as well as tools like TensorFlow, PyTorch, and AWS.
Vetted Dash developer in the United Kingdom (UTC+1)
\- Highly skilled and motivated senior data engineer/data analyst with a proven track record in designing, building, and maintaining large-scale data systems. \- Expertise spans the entire data lifecycle: modeling, designing, ingestion, storage, processing, integration, visualization, and quality testing. \- Proficient in architecting robust, scalable data pipelines using technologies like Azure Databricks, Data Lake Storage, Data Factory, Blob Storage, Python, PySpark, PyTest, SQL, and Great Expectations. \- Experienced in data ingestion from diverse sources: structured databases (Oracle, SQL Server), semi-structured formats (JSON, XML), unstructured data (text, multimedia files), and REST APIs. \- Strong skills in data transformation and processing, efficiently manipulating, cleansing, and transforming large volumes of data with PySpark. \- Deep understanding of data warehousing concepts, data modeling techniques, and query optimization strategies, delivering optimized solutions for data storage and retrieval. \- Well-versed in data quality assurance and implementing robust data governance practices to ensure data integrity, compliance, and security. \- Excel at extracting valuable insights and patterns from complex datasets using advanced statistical techniques and data mining algorithms. \- Skilled in creating visually compelling dashboards and reports with visualization tools and frameworks, effectively communicating data-driven insights to stakeholders for informed decision-making. \- Ability to bridge the gap between data engineering and data analysis, bringing a comprehensive approach to projects and enabling organizations to derive actionable insights from their data.
Vetted Dash developer in Canada (UTC-4)
More than twenty five years of experience in the high-tech industry with major information technology consulting and telecommunications firms. Extensive knowledge in the areas of data analytics, networking, software development, internet security, and systems integration. Excellent written and interpersonal communication skills.
Vetted Dash developer in Germany (UTC+2)
I am a Data Scientist with a strong background in statistics, software development, data engineering and machine learning. Throughout my career, I have worked with large and complex datasets and taken machine learning projects from conception through to the deployment of operational AI models, showcasing my ability to transform concepts into tangible, impactful solutions. I completed various end-to-end Data Science projects, including the development of an AI matching system for a recruiting startup to automatically find suitable vacancies for candidates and an AI for similiarity analysis of products purchased by a german automobile manufacturer with potential savings of over €100 million per year. I also designed and implemented cloud architectures with automated ETL processes, optimized data models and dashboards for clients from different industries. My educational background includes a masters degree in mathematics and computer science, an apprenticeship as a software developer and certificates for many technologies.
Vetted Dash developer in Mexico (UTC-6)
Over the course of my career I've worked worked both in Data Science leveraging Systems Engineering, Statistics, and modern Machine Learning to optimize business decision-making and profitability. I have worked extensively both in academia and the industry developing: Brain-Computer Interface systems, computer-vision projects, credit scoring algorithms for the banking industry, interpretable machine learning designs for hiring companies, and much more! Let's connect and collaborate together!
Vetted Dash developer in Georgia (UTC+4)
I am a senior software engineer with over 8 years of professional experience specialized in writing complex web apps using React, Node.js and Cloud (Amazon Web Services / Microsoft Azure) Services. I have contributed to both enterprises like Dolby Laboratories and Hexagon, and also for YCombinator-backed startups like Uiflow. At Uiflow, I built the UI / Logic components such as Rich Text Editor, Data Table, Date Mathematics consumed by more than 30 user applications. Also improved app Docker image to Azure Kubernetes Service deployment functionality, used & enjoyed by enterprise customers. Have experience with public speaking, having done so for ProductTank Tbilisi, showcasing Uiflow's studio editor in front of 200+ people. My preferred programming language is TypeScript for combining JavaScript’s versatility and robustness of static typing. I take pleasure in interviewing & mentoring software engineers of all levels, having done this for 3 different companies. Outside of work I enjoy spending time outdoors - running, snowboarding, or mountain biking! Please feel free to get in touch with me via email at [gugongadze@gmail.com](mailto:gugongadze@gmail.com). Skills: \- React \- Node.js \- Redux \- JavaScript \- TypeScript \- Microsoft Azure \- Amazon Web Services \- Docker \- Kubernetes \- GraphQL \- Next.js \- Rust
Vetted Dash developer in Montenegro (UTC+2)
Delivering Python / React solutions from zero to the profitable state. With wide experience in various domains: \+ Global scooter sharing \+ Computer vision solutions \+ Cryptocurrency \+ CPA platform
Vetted Dash developer in Colombia (UTC-5)
I am an experienced data scientist who possesses a strong passion for problem-solving and an unwavering commitment to continuous learning. With a particular focus on data analysis, machine learning modeling, and business strategy, I strive to leverage these domains as powerful tools for structuring, generating, and amplifying impactful solutions. Drawing upon my expertise in data science, I employ advanced analytical techniques to extract valuable insights from complex datasets. Through meticulous interpretation and visualization of data, I uncover patterns that drive informed decison-making.
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FAQs
Why hire a Dash developer?
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 Dash 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 Dash developers can help keep your website up-to-date.
How do I hire Dash developers?
To hire a Dash 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 Dash developers effectively and efficiently. Hire full-time Dash 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 Dash 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 Dash 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 Dash developers for your company, and let Arc handle the logistics.
Where do I hire the best remote Dash developers?
There are two types of platforms you can hire Dash 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 Dash 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 Dash developers, consider niche platforms like Arc that naturally attract and carefully vet their Dash developers for hire. This way, you’ll save time and related hiring costs by only interviewing the most suitable remote Dash developers.
Some factors to consider when you hire Dash 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 Dash developers for hire.
How do I write a Dash developer job description?
Writing a good Dash developer job description is crucial in helping you hire Dash 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 Dash 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 Dash developers, read our Engineer Job Description Guide & Templates.
What skills should I look for in a Dash developer?
The top five technical skills Dash developers should possess include proficiency in programming languages, understanding data structures and algorithms, experience with databases, familiarity with version control systems, and knowledge of 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 Dash 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 Dash developers to keep up with evolving technology and requirements.
What kinds of Dash developers are available for hire through Arc?
You can find a variety of Dash developers for hire on Arc! At Arc, you can hire on a freelance, full-time, part-time, or contract-to-hire basis. For freelance Dash developers, Arc matches you with the right senior developer in roughly 72 hours. As for full-time remote Dash 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 engineers in various different time zones and countries for you to choose from.
Lastly, our remote-ready Dash developers for hire are all mid-level and senior-level professionals. They are ready to start coding straight away, anytime, anywhere.
Why is Arc the best choice for hiring Dash developers?
Arc is trusted by hundreds of startups and tech companies around the world, and we’ve matched thousands of skilled Dash developers with both freelance and full-time jobs. We’ve successfully helped Silicon Valley startups and larger tech companies like Spotify and Automattic hire Dash developers.
Every Dash 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 Dash 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.
How does Arc vet a Dash developer's skills?
Arc has a rigorous and transparent vetting process for all types of developers. To become a vetted Dash 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 Dash 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 Dash developers, you can rest assured that all remote Dash developers have been thoroughly vetted for the high-caliber communication and technical skills you need in a successful hire.
How long does it take to find Dash developers on Arc?
Arc pre-screens all of our remote Dash developers before we present them to you. As such, all the remote Dash 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 Dash developer in 72 hours, or find a full-time Dash 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 Dash developers.
How much does a freelance Dash developer charge per hour?
Depending on the freelance developer job board you use, freelance remote Dash developers' hourly rates can vary drastically. For instance, if you're looking on general marketplaces like Upwork and Fiverr, you can find Dash 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 Dash 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.
How much does it cost to hire a full time Dash developer?
According to the U.S. Bureau of Labor Statistics, the medium annual wage for 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 Dash 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 Dash developers, check out our FAQs page.