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Vetted Pandas 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 8 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 Achievements: * 1000+ Sessions
Vetted Pandas developer in India (UTC+6)
I am Arushi Singhal, Software Engineer at Amazon. I have a keen interest in Algorithmic Problem Solving and have been programming for around 7 years now. I interned in Summer 2019 at Google as a Software Engineer. In Summer 2018, I did a Machine Learning internship at Robert Bosch Engineering and Private Limited, Bangalore, India (RBEI). I have multiple experiences of back-end development for large-scale systems. During my internships, I worked with Python and machine learning libraries in Python, Java, gRPC, Protocol Buffer, Google Guice and Google’s Internal Frameworks, Django, Ruby on Rails. I have also contributed to many open-source projects, including the Linux Kernel. I have submitted over 50 patches to kernel code. My other contribution to Open Source can be seen on my GitHub Profile. I am also passionate about mentoring and motivating people to contribute to open-source projects and was Google Code-In Mentor in 2017 for OpenWISP and Sugar Labs. I also worked as a Computer Science Instructor at CodeConnect, where we as an instructor ensure that our computer science education is accessible, empowering, and supportive for the next generation, and committed to our mission of increasing diversity in tech. In CodeConnect, I gave Python lectures to Pre-University students. I also used to be a Student Teaching Assistant and Research Assistant and I find teaching/mentoring extremely motivating - sometimes I'd get introduced to new interesting topics that I'd probably never think of finding out about on my own if it wasn't for the purpose of explaining it to someone else. Sometimes I'd get a completely new perspective on subjects I thought I knew when trying to find a way to present it to someone else. I'd really love to keep learning this way. One of the topics I'm always happy to talk about are the interviews - I've done a fair share of them, most of them in top tech companies and I would love to share what I've observed so far. I'm always up for tackling interesting interview questions, doing mock interviews or just giving resume tips (I got my interviews at Amazon, Facebook, Microsoft, Google and also at open-source communities without a referral, so I might help you with reviewing your resume to make it stand out. :)) Other than that, you can always reach out to me if you have questions related to Java, Python, R, Matlab, C, C++, Data Structures, Algorithms, SQL, GIT, Mathematics etc. I try to keep my knowledge and skills up to date and learn something new every day by helping you! Being a researcher, quick learner and having software development experience, I believe I am a good fit for mentoring.
Vetted Pandas developer in India (UTC+6)
Software engineer with experience in machine learning, backend and frontend development. Leveraging my wide range of expertise to build high impact products.
Vetted Pandas developer in India (UTC+6)
I have over 7 years of experience as a Tech Lead, leading the digital transformation of a media company. I have expertise in Python, Django, PostgreSQL, Docker, and Bigquery. I have successfully managed teams and developed a microservices application, optimized code for performance, and migrated databases. I hold a Bachelor's degree in Computer Science.
Vetted Pandas developer in India (UTC+6)
Software consultant having worked as Engineering Manager and Lead Software Engineer in Javascript, Python and Elixir with over 12 years of experience demonstrating versatility and team leadership in diverse business domains from startups to big-tech. I run a software consulting and development firm where we take care of the entire product engineering lifecycle for you. With a background in structured, procedural and functional programming, implementing software architecture using principles such as Context Mapping, Domain Driven Design and C4 architecture to enhance system scalability and maintainability for enterprise application development, distributed systems, data processing & analytics, having steered multiple crossfunctional projects with autonomous teams of varying sizes to achieve OKRs, process optimisation and increased operational excellence. Experienced in data analytics, software development, using ETL tools such as fivetran, airflow, integromat. We are software engineers, product leads and consultants who have worked in a range of tech companies ranging from startups to bigtech like Klarna Bank, HCLTech, Google, L&T Infotech, Momox. We understand product development and have managed teams of different sizes with over 10 years of experience in various verticals such as Ecommerce, ERP, Fintech, FashionTech, Health & Wellness.
Vetted Pandas developer in India (UTC+6)
Seasoned AI/ML Specialist with 16 years of experience, specializing in AI-ML project and product strategy, program management, and quality assurance execution. Focused on developing advanced NLP applications using Retrieval-Augmented Generation (RAG) and Large Language Models (LLMs). Expertise in AI-ML application development life cycle management, creating robust and scalable solutions. Proven skills in Python backend development and extensive experience in test automation with Selenium, Cypress, and Playwright. ISTQB certified and proficient in Agile methodologies, known for effective collaboration with cross-functional teams.
Vetted Pandas developer in India (UTC+6)
A passionate Software Engineer/Data Scientist working on unstructured data to deliver business value, focusing on NLP and Computer vision. I always like to do things hands-on.
Vetted Pandas developer in India (UTC+6)
Highly experienced Full-Stack Data Scientist / Machine Learning Engineer and Software Developer, delivering production ready ML models and customised softwares to automate business processes and decision making. With an added advantage of attaining MBA from India's finest B-school, I build tech powered solutions to ensure maximum profitability for any business venture. Skills : ● Data Science & Machine Learning : Supervised ML, Linear Regression, Decision Tree, Prompt Engineering, Hypothesis Testing, Statistics, Exploratory Data Analysis, Data Wrangling, Cleaning & Tidying, Feature Engineering, Data Visualization, SQL, Scikit-learn, NumPy, Pandas, Matplotlib, Plotly, Dash, Microsoft Excel, Metabase, AWS Athena & Sagemaker, Google BigQuery, Unsupervised ML, Neural Nets, NLP, Large Language Models (LLM), GPT, Text Embedding, Vector Databases, PyTorch, fastai, TensorFlow, OpenAI API, Generative AI (GenAI) ● Programming : Python, MySQL, PostgreSQL, HTML, CSS, Flask, Heroku, APIs, Git, AWS S3 & EC2, JavaScript, jQuery, Java, Werkzeug WSGI, Leaflet.js, Folium, GeoPandas, Google Maps API & Sheets API, Bootstrap Professional Work : 1. Engineered a suite of cutting-edge ensemble ML models, revolutionizing underwriting processes for personal loan products a major FinTech Lender in India. 2. Developed and deployed 6 ML models for credit-risk scorecard, using 5 data sources (Bureau, Bank Statement, SMS, Smartphone App Info and Demography), improving risk spread by 1200%. 3. Devised NLP based models (Passive Aggressive Classifier and XGBoost Classifier with TFiDF Vectorizer) for classification of SMS, improving recall by 35% and accuracy by 60%, and saved 36 man-hours daily, processing over 200 Mn SMS/day. 4. Created LLM based classifier models using Prompt Engineering on ChatGPT (OpenAI), Mistral AI (Open Source) and other open source models. Deployed using AWS Sagemaker. 5. Crafted an LLM based Law ChatBot that answers to Lawyer's questions pertaining to any specified PDF file of a Legal Document. 6. Built an in-house MLOps infrastructure with AWS Sagemaker, enhancing model integration. 7. Engineered 330+ features from SMS data to emulate metrics including cash flow, lifestyle and financial literacy indicators. Included steps like Exploratory Data Analysis, Data Wrangling, Cleaning & Tidying, Feature Engineering. 8. Designed comprehensive daily and monthly model monitoring dashboards using Flask-Python, Metabase and SQL tables, improved response time to anomalies by 75%, enhancing overall model reliability and performance. 9. Designed a Customer Loyalty Program and delivered via a web and Android app, over 2500 DAU, rated 4.6 on play store for a manufacturer and distributor of PVC Plumbing Systems in Central India. 10. Increased territorial penetration by over 25% by building automated interactive GIS sales dashboard for a wholesale business in India. 11. Achieved 100% monthly revenue target completion by creating Business Intelligence Dashboard – Google Apps Script. 12. Reduced total credit by 20% in five months by building a Python-bot that sends regular WhatsApp messages to debtors. 13. Saved annual recurring cost of ₹25 lakh+ by automating data collection for a hedge fund using Yahoo Finance API & Python. 14. Cut time from over 4 hours to 2 clicks by developing a GIS-enabled web application for new-license territory discovery for a developer and licensor of Escape Room Game Designs in USA. Personal Projects : 1. Developed a Fake News Classifier using TfIdf Vectorizer and Passive Aggressive Classifier - ML, pandas, scikit-learn. 2. Created a Spam Email Classifier using Naïve Bayes and XGBoost Classifiers - ML, NumPy, seaborn. 3. Designed a Cat Image Classifier using multi-layer neural network - DL, NumPy, Matplotlib, h5py, PIL, SciPy. 4. Developed a web app to manage portfolio of stock with real-time prices using IEX API -SQLite, Flask, HTML, CSS, JS. 5. Built a terminal-run card game called Declare - Python. Education : Computer Science and Data Science Masters (Self-Learned) Major Electives: Computer Science: MIT 6.0001, MIT 6.0002, Automate the Boring Stuff with Python, Harvard CS50, Harvard CS50 - Web Development, Intro. to Algorithms, Design and Analysis of Algorithms, Software Development Lifecycle, GIT and GitHub, Flask for Python, The Python Mega Course, Data Structures, Analysis of Algorithms, The Odin Project etc. Data Science: Stanford CS229, Stanford Machine Learning (CS229A), Data Science path on Codecademy.com, Data Science and Machine Learning Bootcamp, Neural Networks and Deep Learning, Deep Learning with PyTorch: Zero to GANs, Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization
Vetted Pandas developer in India (UTC+6)
Trading Systems Engineer / Quantitative Developer with 20+ Years Experience. Key Skills: C/C++(11/14/17), STL, Multithreading, Perl, Python, Unix/Linux, Unix Shell Scripting, Machine Learning, Data Science, Quantitative Development / Trading Skill Level: C, C++ (Expert), Perl (Expert), Java(Prior), Ruby, Python(Current), Unix Scripting (Expert) Focus Areas: Electronic Trading, Equities, Fixed Income, Derivatives, Market Data, FIX, Multi-Threaded/Parallel Programming, Solace Messaging Systems, Unix Internals, Machine Learning, Blockchain, Solidity, Ethereum Methodologies: Machine Learning, Design Patterns, Distributed Computing, Lean Startup Methodologies APIs / Libraries: STL, Boost, Multi-Threading, Pthread, FIX, System Calls, Scikit-Learn, NumPy, Pandas, Matplotlib, DataRobot Communication: IP (TCP,UDP), IPC (Unix sockets, Message Queues, Shared Memory), Google Protobuffers Tools: Debugging (gdb), Profiling (Valgrind, efence, memprof), Version Control (Git, Cvs, Svn), Forensic (Ethereal, TcpDump, TcpReplay, Tcpslice) Quick facts: \* Entrepreneurial, Quick learner, curious and hardworking. Risk taker. Inquisitive with attention to details. Thinks in terms of Pareto(80/20 rule) and first principles \* Exited about - Trading, finance, new technologies, solving open ended problems. \* Loves - Everything Unix / \*nix, C, C++, Perl and Python \* Currently developing a Trading System using open source technologies(Linux, Perl, Python, C++) and Machine Learning concepts
Vetted Pandas developer in India (UTC+6)
Gautam is a software engineer with several years of experience building apps with Java as well as Python. He's worked on various architecture (microservice, real-time, event-based) and RESTful API. Apart from back-end development, he is also a Google certified cloud architect who can help you create or design your cloud infrastructure on both GCP and AWS. Gautam is the type of engineer who is always ready to take on new technical challenges.
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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 Pandas 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 Pandas 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 Pandas developers can help keep your website up-to-date.
To hire a Pandas 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 Pandas developers effectively and efficiently. Hire full-time Pandas 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 Pandas 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 Pandas 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 Pandas developers for your company, and let Arc handle the logistics.
There are two types of platforms you can hire Pandas 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 Pandas 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 Pandas developers, consider niche platforms like Arc that naturally attract and carefully vet their Pandas developers for hire. This way, you’ll save time and related hiring costs by only interviewing the most suitable remote Pandas developers.
Some factors to consider when you hire Pandas 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 Pandas developers for hire.
Writing a good Pandas developer job description is crucial in helping you hire Pandas 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 Pandas 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 Pandas developers, read our Software Engineer Job Description Guide & Templates.
The top five technical skills Pandas 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 Pandas 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 Pandas developers to keep up with evolving technology and requirements.
You can find a variety of Pandas developers for hire on Arc! At Arc, you can hire on a freelance, full-time, part-time, or contract-to-hire basis. For freelance Pandas developers, Arc matches you with the right senior developer in roughly 72 hours. As for full-time remote Pandas 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 Pandas 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 Pandas developers with both freelance and full-time jobs. We’ve successfully helped Silicon Valley startups and larger tech companies like Spotify and Automattic hire Pandas developers.
Every Pandas 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 Pandas 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 Pandas 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 Pandas 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 Pandas developers, you can rest assured that all remote Pandas 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 Pandas developers before we present them to you. As such, all the remote Pandas 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 Pandas developer in 72 hours, or find a full-time Pandas 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 Pandas developers.
Depending on the freelance developer job board you use, freelance remote Pandas developers' hourly rates can vary drastically. For instance, if you're looking on general marketplaces like Upwork and Fiverr, you can find Pandas 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 Pandas 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 Pandas 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 Pandas developers, check out our FAQs page.