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"We believe in Mangtas’ systematic vetting and matching process!
Their data-rich and structured talent profiles really help a lot in building a point of view before deciding to proceed with an interview.
The team has always been very responsive and helpful in the process of selecting talent, onboarding, and maintaining the ongoing relationship.”
Co-Founder & CTO, StashAway
"Through their vendor selection and rigorous candidate vetting process, Mangtas provides us high-quality candidates that result in a higher closing rate than other vendors, saving us a lot of time and speeding up our hiring.
They are also very customer-centric and responsive to our requests. It's been a pleasure working with them."
VP Engineering Ninja Van Group
“Mangtas really helped us by matching our staffing needs to highly vetted talents from their vendor ecosystem.
I can now focus on getting our exciting products to market – without having to worry about the unreliability and overhead that usually comes with outsourcing.”
VP Engineering, OhMyHome
Data science is an interdisciplinary field that combines techniques from statistics, computer science, and domain expertise to extract insights and knowledge from structured and unstructured data.
It involves the collection, preparation, analysis, and interpretation of data to uncover patterns, trends, and relationships that can drive informed decision-making and solve complex problems
Data scientists use various tools, algorithms, and programming languages to process and analyze large volumes of data.
They build predictive models, perform statistical analysis, and apply machine learning techniques to identify patterns and make predictions. Data science encompasses a wide range of activities, including data cleaning, data visualization, data mining, and data storytelling.
Predictive Analytics
Natural Language Processing (NLP)
A/B Testing and Conversion Optimization
Customer Segmentation and Personalization
Healthcare and Medical Diagnosis
Fraud Detection
Data Scientists have the expertise to collect, process, and analyze data to uncover valuable insights. Their presence enables data-driven decision-making, leading to more informed and strategic choices.
Data Scientists are skilled in applying statistical and machine learning techniques to analyze complex data sets. They can build predictive models, identify patterns, and perform in-depth analysis, providing valuable information for various business processes.
Data Scientists are adept problem solvers who use data analysis to tackle challenging issues. They can identify trends, find solutions, and propose innovative strategies that drive business growth.
Data Scientists can automate data processing tasks, saving time and resources. Their ability to create data pipelines and implement data automation leads to improved efficiency in data-related processes.
Data Scientists can develop algorithms to detect anomalies and potential fraud in financial transactions. Their expertise strengthens security measures and protects the organization from potential threats.
In our latest blog, we break down the key differences between these two data wizards! Discover the unique roles, responsibilities, and skills that power the data-driven world. Don't miss out on understanding the driving forces behind data excellence! 💡🌐
Data science is an interdisciplinary field that combines techniques from statistics, computer science, and domain expertise to extract insights and knowledge from structured and unstructured data.
It involves the collection, preparation, analysis, and interpretation of data to uncover patterns, trends, and relationships that can drive informed decision-making and solve complex problems
Data scientists use various tools, algorithms, and programming languages to process and analyze large volumes of data.
They build predictive models, perform statistical analysis, and apply machine learning techniques to identify patterns and make predictions. Data science encompasses a wide range of activities, including data cleaning, data visualization, data mining, and data storytelling.
Predictive Analytics
Natural Language Processing (NLP)
A/B Testing and Conversion Optimization
Customer Segmentation and Personalization
Healthcare and Medical Diagnosis
Fraud Detection
Data Scientists have the expertise to collect, process, and analyze data to uncover valuable insights. Their presence enables data-driven decision-making, leading to more informed and strategic choices.
Data Scientists are skilled in applying statistical and machine learning techniques to analyze complex data sets. They can build predictive models, identify patterns, and perform in-depth analysis, providing valuable information for various business processes.
Data Scientists are adept problem solvers who use data analysis to tackle challenging issues. They can identify trends, find solutions, and propose innovative strategies that drive business growth.
Data Scientists can automate data processing tasks, saving time and resources. Their ability to create data pipelines and implement data automation leads to improved efficiency in data-related processes.
Data Scientists can develop algorithms to detect anomalies and potential fraud in financial transactions. Their expertise strengthens security measures and protects the organization from potential threats.
"Through their vendor selection and rigorous candidate vetting process, Mangtas provides us high-quality candidates that result in a higher closing rate than other vendors, saving us a lot of time and speeding up our hiring.
They are also very customer-centric and responsive to our requests. It's been a pleasure working with them."
VP Engineering Ninja Van Group
“Mangtas really helped us by matching our staffing needs to highly vetted talents from their vendor ecosystem.
I can now focus on getting our exciting products to market – without having to worry about the unreliability and overhead that usually comes with outsourcing.”
VP Engineering, OhMyHome
"We believe in Mangtas’ systematic vetting and matching process!
Their data-rich and structured talent profiles really help a lot in building a point of view before deciding to proceed with an interview.
The team has always been very responsive and helpful in the process of selecting talent, onboarding, and maintaining the ongoing relationship.”
Co-Founder & CTO, StashAway
