Who we are:

Quantic is an Information Technology service and product company based in Jakarta, Indonesia and Mumbai, India, founded in 2017. We provide ready-to- use AI based solutions for some of the most common business use cases. We also have a portfolio of world-class products in Wealth Management, Lending & Collections as well as Digital Banking that we implement for your organization.

 

Our Team:

Our team has been in the forefront of technology and dealing with large mission- critical software projects for leading global organizations. Our consulting services bring to the table solid research in Data Science as well as in AI and Machine Learning techniques.

 

Our Value:

We are process-oriented, we follow global best-practices to ensure delivery. We value the robustness of software, and rigorous software engineering.

 

Our Goals:

If your organization is new to data-backed decision support analytics, then we will hold your hand and introduce you to this exciting journey. Our consultants will study your business and advise how you can benefit easily at low cost. We will launch a low-risk pilot project to show quick benefits to your stakeholders and build the organization’s confidence in developing an AI based analytics system for long-term value. We will completely align with your business goals, your processes and policies, and work as an extension of your own team.



Quantyc.ai

<ul>
	<li class="text-justify">Apply your knowledge of data science techniques and methodologies to solve complex business problems through data analysis and modelling.</li>
	<li class="text-justify">Collaborate with cross-functional teams to identify, collect, and pre-process relevant data for analysis.</li>
	<li class="text-justify">Develop and implement machine learning algorithms and models using Python and relevant libraries.</li>
	<li class="text-justify">Conduct exploratory data analysis, feature engineering, and data visualization to gain insights and identify patterns.</li>
	<li class="text-justify">Assist in the evaluation and selection of appropriate statistical models and machine learning algorithms based on project requirements.</li>
	<li class="text-justify">Collaborate with the full stack development team to integrate developed models into production systems.</li>
	<li class="text-justify">Validate and fine-tune models using appropriate performance metrics and statistical techniques.</li>
	<li class="text-justify">Stay up-to-date with the latest trends and advancements in the field of data science and machine learning.</li>
	<li class="text-justify">Communicate findings and insights effectively to technical and non-technical stakeholders through reports, presentations, and visualizations.</li>
	<li class="text-justify">Adhere to data privacy and security standards throughout the data analysis process.</li>
</ul>

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