Hire the Top 2% of
Remote Dash Developers

Fernando A.

Vetted Dash developer in the United States (UTC-4)

With 8 years of experience on digital analytics, I'm looking for a remote or hybrid position due to a relocation. With experiences with data analytics in major agencies and industries like Nestlé and an MBA in the biggest university in Brazil, I'm fully ready to give another step forward on my career.

Unnati P.

Vetted Dash developer in Sweden (UTC+1)

Lead Product Analyst/Scientist with 5 years of experience in analyzing user behavior, conducting A/B testing, and generating insights to drive strategic decisions for digital products. Proven expertise in defining product OKRs, end-to-end statistical analysis, and mentoring analysts. Published author on Data Visualization, featured in Analytics Vidhya and UX Collective.

Alvaro C.

Vetted Dash developer in Spain (UTC+2)

Data Scientist with almost 7 years of experience with clients in the UK and Spain. I specialise in developing PoCs and MVPs with AI and Cloud technologies, working in cross-functional teams in sectors such as banking, telecommunications and the public sector. With over 30 collaborations for over 15 clients under my belt in the last three years, some of my projects include developing NLP models for identifying bad practices in IT reports, developing a client call transcription tool for further analysis, creating dashboards for KPI visualisation and writing a course on time series analysis. I specialise in econometric techniques for time series analysis, causal inference, natural language processing (NLP), and data visualisation. My programming language is Python, and I have experience with cloud technologies (IBM), visualisation tools (Cognos Analytics), and databases (Mongo, Db2).

Ryan M.

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.

JD M.

Vetted Dash developer in the United States (UTC-7)

I have 20 years of experience designing and developing information systems and technology solutions in the areas of transportation infrastructure and manufacturing operations, traveler information, GIS & mapping, and enterprise data analytics. My skills span software systems architecture, database design, analytics and machine learning pipelines composition, and Python development. I am passionate about so-called "cyberphysical" systems that model physical world assets and data -including applications such as mapping, IoT, and decision support systems in infrastructure-centric industries like transportation, utilities and manufacturing.

Joseph P.

Vetted Dash developer in the United States (UTC-4)

Career freelancer with over a decade of experience building custom business solutions with low-code tools, API integrations and JavaScript.

Alexander A.

Vetted Dash developer in the United States (UTC-5)

I am a well rounded Data Scientist with more than 5 years of expertise in Data Science, Data Analytics, Data Engineering. Routinely utilizes these skills over a variety of technologies including Python, SQL, PowerBI and other systems/software suites/languages. I've applied machine learning algorithmns to extract strategic insights that lead to a 40% increase in employee tenure as a result of insight implemnetation. I've run data automation systems that delivered over 31 weekly reports. I've built ETL pipelines to simplify financial treasury tabulation. I've done many things beyond that. I Creative problem solver, highly communicative and approachable. Currently exhibits interpersonal and extensive technological proficency by teaching Data Science for University of Texas's Data Science and Business Analytics Bootcamp. Besides acquiring exposure to new skills on the job, I have become adept at Webscraping, Async IO, Matrix Operations, NLP ( personal exploration and application) and Local Gen AI (completion of a certification course).

Gopal C.

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.

Paritosh M.

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.

Misbahuddin M.

Vetted Dash developer in the United States (UTC-5)

Quant Developer & Data Scientist with 17+ years of experience in data-driven solutions, financial analytics, and cloud data architectures. 3+ years of specialized work with SciChart, DataBento, IBKR, and SpiderRock—designing and implementing real-time derivatives trading dashboards. In-depth knowledge of derivatives trading: Options greeks (Delta, Gamma, Theta, Vega), VIX, futures term structure, implied volatility (IV) term structures, skew, PCR, open interest, and advanced options flow strategies. Demonstrated success in building custom quant algorithms, high-performance visualizations (SciChart), and ETL pipelines for tick data (OHLC, PCAP) with advanced technical indicators (e.g., Ichimoku Cloud, ATR Trailing Stops, Stochastics, MACD, Bollinger Bands). Freelance Consultant at UnusualFlow (3 months): Doubled customer base by introducing unique, data-rich SciChart visuals. Enhanced user engagement and retention with new real-time options flow dashboards. Skilled in Python, SQL, Power BI, Machine Learning, and statistical modeling. Effective cross-functional collaborator, bridging technical and non-technical teams, focusing on actionable insights and data governance best practices.