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Swetha K.
Freelance Exploratory Data Analysis developer in Ireland
•Data Scientist with expertise in data visualization, story-telling, data analytics
•Good verbal and written communication skills
•Strong technical and analytical skills
Worked for 7+ years as an Economist and Financial Advisor. I completed a Data Science course in 2019 and then worked 4 years as a Data Scientist. Exposure to Python and SQL for dataanalysis and the data science workflow, from data wrangling and exploratorydataanalysis to applying statistical concepts and machine learning tools.
Freelance Exploratory Data Analysis developer in Brazil
### About Myself
Data Analyst with 5 years of extensive experience in data collection, processing, analysis, and visualization. Proficient in monitoring data systems and optimizing processes, using statistics techniques for improved accuracy and efficiency. Guided by the pillars of honesty and the relentless pursuit of improvement. Committed to continuous growth and high performance in every area of life. Dedicated and fervent learner on the lifetime quest of polymathy. Deeply inspired by challenges that push my limits.
### Technologies
* Python | Pandas | Matplotlib
* SQL | MySQL | PostgreSQL | DataGrip
* Google BigQuery | Amazon Redshift | Azure Synapse | Snowflake
* Power BI | Tableau | Looker | Amplitude | Mixpanel | Figma
* Microsoft Excel | Google Sheets | DAX
* Pivot Tables | Pivot Charts | Power Query
* JIRA | Confluence
Freelance Exploratory Data Analysis developer in Nigeria
With 6+ years of diverse experience as a certified, highly organized, solution-oriented, and resourceful professional in various facets as a data analyst, information management officer, admin database manager, and digital marketing manager. I provide overarching support in performing data collection, cleaning, and structuring to ensure the completeness and accuracy of datasets; developing and implementing data models to structure information; conducting exploratorydataanalysis to identify patterns; applying statistical analysis techniques to provide insights and recommendations; creating visualizations and dashboards to communicate findings using tools like Excel, Power BI, Tableau and SQL.
My expertise is in applying machine learning and advanced analytics to solve complex problems; automating data processes to enhance efficiency and scalability, optimizing database performance, executing digital marketing campaigns, analyzing marketing data, and managing lead generation and nurturing programs.
Freelance Exploratory Data Analysis developer in Brazil
Data Scientist with 6 years of expertise in Machine Learning, DataAnalysis and Visualization and Data Engineering. From retail segmentation to predictive maintenance, I specialize in crafting impactful solutions utilizing Python, SQL, GCP, AWS, and innovative approaches.
I have transformed data accessibility with an AI-driven WhatsApp Chatbot, providing tangible benefits to directors and managers. Additionally, I have excelled in optimizing media investments, engineering delivery time predictions. Proficiency in ETL design, regression modeling, and agile methodologies underlines my commitment to delivering high-quality solutions.
Beyond technical skills, my strong communication abilities facilitate effective collaboration throughout cross-functional teams and ensure successful project outcomes.
Freelance Exploratory Data Analysis developer in the United States
Over four years of experience as a QA Engineer, extensively worked on manual, automation, mobile, API, and web service applications. Experience in Ecommerce/Retail, SaaS, and Financial Services.
Exploratory Data Analysis developer in New Zealand
From a computational physicist with 30+ publications, I've transitioned into lead roles within software and data development. Being an expert in multiple coding languages, cloud platforms, and frameworks, I mentor (and learn from) junior colleagues to strengthen our team culture. I am seeking senior technical leadership roles that combine strategic planning and team management with hands-on technical contributions.
Freelance Exploratory Data Analysis developer in the United States
Senior Staff Data Engineer with 12 years full-stack Data Engineering experience, 6 years Data Science with LLM's, and MS in Data Science. Seeking remote team of talented experts.
A highly motivated and dedicated Data Scientist with extensive expertise in statistics, SQL, data visualization, machine learning algorithms, and model development. Demonstrated success in outlier and anomaly detection, insight generation, and predictive analytics, with deep domain knowledge in the BFSI sector. Exceptional communication and collaboration skills, excelling in client management, with a strong passion for enabling science-based decision making in business.
Exploratory Data Analysis developer in the United Kingdom
Dynamic Data Scientist with an MSc in Artificial Intelligence and Data Science, possessing strong analytical and problemsolving expertise, along with excellent communication and teamwork skills. Proficient in Python, SQL, data science and statistical tools, and machine learning techniques; I have honed my skills and expertise in building predictive models and applying data-driven strategies to improve business activities and design innovative solutions to improve decision-making, optimise business operations, and drive system efficiency, leading to positive business outcomes. My strengths lie in advanced analytics, strategic project management, effective communication, collaborative leadership, and the ability to work independently and take initiatives to leverage data-driven insights, supporting strategic decision-making to enhance operational efficiency.
If you're looking for immediate online assistance from Exploratory Data Analysis experts, you can get Exploratory Data Analysis programming help within 6 minutes on Codementor.
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Arc helps you build your team with our network of full-time and freelance software developers worldwide, spanning 190 countries. 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 an Exploratory Data Analysis developer, multiple developers, 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 Exploratory Data Analysis developers can help keep your website up-to-date.
How do I hire Exploratory Data Analysis developers?
To hire an Exploratory Data Analysis 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 Exploratory Data Analysis developers effectively and efficiently. Hire full-time Exploratory Data Analysis 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 Exploratory Data Analysis engineers 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 350,000 developers around the world. With that said, the free plan will not give you access to pre-vetted Exploratory Data Analysis 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 Exploratory Data Analysis developer for your company, and let Arc handle the logistics.
Where do I hire the best remote Exploratory Data Analysis developers?
There are two types of platforms you can hire Exploratory Data Analysis programmers 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 Exploratory Data Analysis 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 Exploratory Data Analysis developers, consider niche platforms like Arc that naturally attract and carefully vet their Exploratory Data Analysis developers for hire. This way, you’ll save time and related hiring costs by only interviewing the most suitable remote Exploratory Data Analysis developer candidates.
Some factors to consider when you hire Exploratory Data Analysis 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 Exploratory Data Analysis developers for hire.
How do I write an Exploratory Data Analysis developer job description?
Writing a good Exploratory Data Analysis developer job description is crucial in helping you hire Exploratory Data Analysis programmers 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 Exploratory Data Analysis 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.
What skills should I look for in an Exploratory Data Analysis engineer?
The top five technical skills Exploratory Data Analysis 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 Exploratory Data Analysis 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 Exploratory Data Analysis developers to keep up with evolving technology and requirements.
What kinds of Exploratory Data Analysis programmers are available for hire through Arc?
You can find a variety of Exploratory Data Analysis developers for hire on Arc! At Arc, you can hire on a freelance, full-time, part-time, or contract-to-hire basis. For freelance Exploratory Data Analysis programmers, Arc matches you with the right senior developer in roughly 72 hours. As for full-time remote Exploratory Data Analysis 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 Exploratory Data Analysis 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 Exploratory Data Analysis developers?
Arc is trusted by hundreds of startups and tech companies around the world, and we’ve matched thousands of skilled Exploratory Data Analysis developers with both freelance and full-time jobs. We’ve successfully helped Silicon Valley startups and larger tech companies like Spotify and Automattic hire Exploratory Data Analysis developers.
Every Exploratory Data Analysis developer for hire in our network goes through a vetting process to verify their communication abilities, remote work readiness, and technical skills (both for depth in Exploratory Data Analysis and breadth across the greater domain). 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 Exploratory Data Analysis engineer 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 developer’s Exploratory Data Analysis skills?
Arc has a rigorous and transparent vetting process for all types of developers. To become a vetted Exploratory Data Analysis 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 Exploratory Data Analysis 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 Exploratory Data Analysis developers, you can rest assured that all remote Exploratory Data Analysis 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 Exploratory Data Analysis developers on Arc?
Arc pre-screens all of our remote Exploratory Data Analysis developers before we present them to you. As such, all the remote Exploratory Data Analysis 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 350,000 candidates. You can also expect to hire a freelance Exploratory Data Analysis programmer in 72 hours, or find a full-time Exploratory Data Analysis programmer 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.”
How much does a freelance Exploratory Data Analysis developer charge per hour?
Depending on the freelance developer job board you use, freelance remote Exploratory Data Analysis developers' hourly rates can vary drastically. For instance, if you're looking on general marketplaces like Upwork and Fiverr, you can find Exploratory Data Analysis 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 Exploratory Data Analysis 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 Exploratory Data Analysis developer?
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 Exploratory Data Analysis 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 Exploratory Data Analysis developers, check out our FAQs page.
Your future Exploratory Data Analysis developer is just around the corner!