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Vetted Google Data Studio developer in India (UTC+6)
Accomplished technology professional with 18+ years of experience specializing in machine learning research, end-to-end data science and AI engagements, business strategy, and building high-performing teams. Experienced in building transformational machine learning initiatives in multiple domains, including ad-tech, automotive, manufacturing, telecom, banking, and retail. Proficient in leveraging large language models (LLMs) and Generative AI techniques to develop innovative solutions. Led R&D teams in developing novel, futuristic applications in computer vision, machine learning, and natural language processing.
Vetted Google Data Studio developer in India (UTC+6)
I am a Senior Data Scientist with over 9 years of experience in leveraging advanced AI, machine learning, and deep learning techniques to solve complex business challenges across industries like banking, retail, manufacturing, and technology. My expertise lies in designing scalable solutions that drive measurable outcomes, optimize processes, and empower organizations to make data-driven decisions. Currently, at JPMorgan Chase & Co., I lead initiatives that have delivered significant business value, including developing an unsupervised payment risk detection model that mitigated fraud risks and saved $24M globally. I also spearheaded the creation of a Retrieval-Augmented Generation (RAG) framework to enhance enterprise-wide information retrieval and knowledge generation. My work on standardizing LLM evaluation frameworks has improved cross-functional collaboration and ensured consistency in model performance metrics. Previously, at Walmart Global Tech India, I contributed to sustainability goals by building multi-model machine learning systems for EV charging station recommendations while driving store revenue growth. I also implemented transformer-based models for product categorization and price standardization. At Tiger Analytics, I developed real-time predictive maintenance systems that saved $50M annually for a global steel manufacturer and improved inventory forecasting accuracy by over 20%. With a strong foundation in programming languages like Python and SQL, libraries such as PyTorch and LangChain, and expertise in cloud platforms like AWS SageMaker and GCP BigQuery, I specialize in cutting-edge technologies like Large Language Models (LLMs), Natural Language Processing (NLP), anomaly detection, and MLOps. My academic projects further showcase my ability to innovate in areas like federated learning for DocVQA, RAG frameworks for better retrieval-generation pipelines, and prompt compression for optimized token utilization. Beyond my professional achievements, I am dedicated to mentoring aspiring AI professionals through Scaler Academy and sharing insights as a tech blogger at KnowledgeHut. My mission is to harness the power of AI to create meaningful impact while fostering growth in the AI community.
Vetted Google Data Studio developer in India (UTC+6)
I'm a dedicated full-time mentor, consultant and Lead software developer with a track record of over 1000+ sessions since 2016. Having 9 years of programming experience in Python, java, GoLang, AWS, MongoDb, ElasticSearch, telethon and many more technologies. I'm passionate about problem-solving and navigating intricate code bases. I love working with: ⭐ Python ⭐ Java ⭐ Spring ⭐ NodeJS ⭐ AWS ⭐ SQL ⭐ MongoDB ⭐ ElasticSearch ⭐ React ⭐ GoLang WHAT SEPARATES ME FROM OTHERS? * Strong and clear communication * Availability at all times * 100% refund incase of non satisfactory session Achievements: * 1000+ Sessions * All 5 star rating
Vetted Google Data Studio developer in India (UTC-7)
Accomplished Sr Data Engineer with a data-driven mindset and a strong focus on leveraging technology. Demonstrates exceptional communication skills with stakeholders, successfully building consensus around robust models. Proficient in application development and adept at re-imagining and optimizing models. Highly skilled in designing and implementing complex data pipelines to meet the most demanding requirements and ensure seamless integration of advanced models.
Vetted Google Data Studio developer in India (UTC+6)
HHHello! I'm Avikalp, a **tech nerd, builder & automater**, passionate about helping developers thrive in their careers. With software development, data science, and leadership expertise, I specialize in full-stack development & deployment of large-scale commercial AI-driven products. My entrepreneurial instincts help me focus on the problem and find the most optimal (economical & performant) solutions. ver code very fulfilling and I've played a crucial role in establishing the code review, versioning & knowledge transfer mechanisms for every team I've worked with.
Google Data Studio developer in India (UTC+6)
• Result oriented Data scientist and Generative AI Engineer with 3 years of experience • Proven Expertise in designing, implementing and managing E2E data solutions on various cloud platforms. • Skilled in leveraging Generative AI, Data science, Python, SQL to analyze and make data meaningful.
Vetted Google Data Studio developer in India (UTC+6)
I am an Senior React native mobile app developer with almost 6+ Years of experience. So far, I have created over 35+ React Native ap plications, and I can leverage all of my hands-on experience to make your product impeccable. I also have good knowledge of * Restful APIs * Typescript * Firebase chat+Firestore * Video and audio calling * Push Notifications * Test cases * Best Github Practices * Smooth animations * Responsive and pixel perfect designs * Releasing builds on AppStore and Playstore * Certificates and Profile creations * Javascript, jQuery, node js, and HTML/CSS * And much more...
Vetted Google Data Studio developer in India (UTC+6)
Versatile Data Scientist distinguished for collaborative skills and a track record of independently delivering impactful results. I have experience in instance segmentation, object detection, clustering, OCR time series forecasting, post-processing forecast correction, retail analytics, regex, delivering well-documented, tested, and operable code. I have also worked with Turing on their LLM deliverables, curating high quality dataset for python coding practises. Efficient in collaborating and communicating new ideas and opinions.
Vetted Google Data Studio developer in India (UTC-7)
Product Manager with 5 years of experience in Product management, Project management and full Product lifecycle ownership including launching 0-1 products leading cross-functional teams at startups. Experience working and collaborating with technical teams, utilizing LLMs, and aligning product vision with business objectives. Holds a Master’s degree in Data Science with practical experience. Skilled in market research, roadmap planning, and feature prioritization. Collaborated with international teams in USA and the Netherlands, to drive product development in cross-cultural environments.
Vetted Google Data Studio developer in India (UTC+6)
15+ years of experience as a software developer and 9+ years of experience as a data scientist. Excellent expertise in Python programming, and ML frameworks such as TensorFlow, PyTorch, Pandas, Numpy, and MLOps platforms such as SageMaker. Analyzed audio data using LibROSA and Kaldi. Experience in the development of RAG models. Expertise in architecting, developing, productionizing, and scaling GenAI applications, Computer Vision models, and Recommender systems Experience with LangChain, vector databases, and similarity search
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Ready to hire your ideal Google Data Studio developers?
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 Google Data Studio 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 Google Data Studio 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 Google Data Studio developers can help keep your website up-to-date.
To hire a Google Data Studio 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 Google Data Studio developers effectively and efficiently. Hire full-time Google Data Studio 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 Google Data Studio 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 Google Data Studio 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 Google Data Studio developers for your company, and let Arc handle the logistics.
There are two types of platforms you can hire Google Data Studio 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 Google Data Studio 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 Google Data Studio developers, consider niche platforms like Arc that naturally attract and carefully vet their Google Data Studio developers for hire. This way, you’ll save time and related hiring costs by only interviewing the most suitable remote Google Data Studio developers.
Some factors to consider when you hire Google Data Studio 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 Google Data Studio developers for hire.
Writing a good Google Data Studio developer job description is crucial in helping you hire Google Data Studio 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 Google Data Studio 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 Google Data Studio developers, read our Engineer Job Description Guide & Templates.
The top five technical skills Google Data Studio 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 Google Data Studio 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 Google Data Studio developers to keep up with evolving technology and requirements.
You can find a variety of Google Data Studio developers for hire on Arc! At Arc, you can hire on a freelance, full-time, part-time, or contract-to-hire basis. For freelance Google Data Studio developers, Arc matches you with the right senior developer in roughly 72 hours. As for full-time remote Google Data Studio 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 Google Data Studio 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 Google Data Studio developers with both freelance and full-time jobs. We’ve successfully helped Silicon Valley startups and larger tech companies like Spotify and Automattic hire Google Data Studio developers.
Every Google Data Studio 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 Google Data Studio 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 Google Data Studio 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 Google Data Studio 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 Google Data Studio developers, you can rest assured that all remote Google Data Studio 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 Google Data Studio developers before we present them to you. As such, all the remote Google Data Studio 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 Google Data Studio developer in 72 hours, or find a full-time Google Data Studio 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 Google Data Studio developers.
Depending on the freelance developer job board you use, freelance remote Google Data Studio developers' hourly rates can vary drastically. For instance, if you're looking on general marketplaces like Upwork and Fiverr, you can find Google Data Studio 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 Google Data Studio 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 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 Google Data Studio 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 Google Data Studio developers, check out our FAQs page.