Twine
Twine

I’m a developer who specializes in building scalable, data-driven applications from concept to deployment. With over 7 years of experience in Finance, InsurTech, Media, and Entertainment, I excel in creating secure,

devabhi

I’m a developer who specializes in building scalable, data-driven applications from concept to deployment. With over 7 years of experience in Finance, InsurTech, Media, and Entertainment, I excel in creating secure, high-performance applications using Python || Flask || Django || React || and cloud-based technologies like AWS and Google Cloud. My approach combines deep technical expertise with industry knowledge, setting me apart through a strong focus on clean code, maintainability, and

Available to hire

I’m a developer who specializes in building scalable, data-driven applications from concept to deployment. With over 7 years of experience in Finance, InsurTech, Media, and Entertainment, I excel in creating secure, high-performance applications using Python || Flask || Django || React || and cloud-based technologies like AWS and Google Cloud. My approach combines deep technical expertise with industry knowledge, setting me apart through a strong focus on clean code, maintainability, and efficiency.

Employment and project experience
Senior Software Engineer
Big Tech Companies
March 2019- Present

Full-stack Developer
Freelance Projects
January 2017 - Present

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Skills

AI
AI Data Labelling
AngularJS
AP
API
Ap
App Design
Da
Data Visualization
Django
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Experience Level

AI Data Labelling
Expert
AngularJS
Expert
API
Expert
App Design
Expert
Data Visualization
Expert
Django
Expert
Google API
Expert
MySQL
Expert
Node.js
Expert
PostgreSQL
Expert
Python
Expert
Web Design
Expert
YouTube API
Expert
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Education

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Qualifications

Add your qualifications or awards here.

Industry Experience

Computers & Electronics, Education, Financial Services, Software & Internet, Telecommunications, Professional Services
    uniE613 Insurance Selling platform
    I developed a platform for our insurance company, enhancing efficiency in managing health and life insurance offerings while enabling seamless integration of multiple insurers and clients. This platform serves as a central hub, making it easy for us to onboard new insurers and clients quickly, thus broadening our service scope without the manual complexities of traditional setups. The platform is specifically tailored for health and life insurance, each with unique workflows and data requirements. For health insurance, it supports policy tracking, claims management, and patient data handling, all in a fully compliant framework that ensures privacy and data security. Life insurance capabilities include policy issuance, premium tracking, and managing beneficiaries, allowing us to provide a comprehensive suite of insurance products that cater to diverse client needs. This modular approach allows for quick customization as new insurance types or insurers are added, supporting scalability as the company grows. To streamline operations, I implemented a central database that syncs data automatically, ensuring consistent information across all connected insurers and clients. The system
    uniE613 Synapse
    I developed a predictive sales application to optimize advertising strategies by forecasting sales based on user-defined inputs. This tool allows users to input parameters like advertisement type, medium, budget, audience demographics, and location, then calculates expected sales impact. With an intuitive interface, users can configure multiple factors affecting sales, making it versatile for varied marketing needs. Powered by machine learning algorithms, the application analyzes historical sales data to predict outcomes, providing users with actionable insights on potential return on investment (ROI) for different advertising channels. Once inputs are submitted, the system processes the data to generate expected sales figures with visualizations, such as charts comparing projected performance across advertising channels. Users can view scenario-based forecasts to explore potential impacts of various setups, aiding in informed resource allocation. This feature is particularly useful for marketing teams and business owners seeking data-driven guidance to maximize advertising efficiency. Beyond predictions, the application includes a module for analyzing past campaigns. Users can upload