“Jatin has been a Critical resource to the team since the day one of joining the company. He is technically proficient in multiple tools and languages which helps in resolving complex problems and building lasting solutions, effortlessly. His depth of domain knowledge and technical expertise gives him an ability to break down complex problems/requirements into easily doable simple tasks. He easily builds good camaraderie with fellow colleagues and provides assistance whenever needed, which really helps in achieving collective team goals.”
About
With 8 years of hands-on experience in building technology solutions and a strong…
Experience & Education
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Carelon Global Solutions
View Jatin’s full experience
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Projects
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Erise Marketplace - An Online Marketplace
Designing a robust online marketplace catering to manufacturers, small businesses, and homegrown services.
Developing features such as AI-powered recommendations, integrated payment systems, and automated social media marketing.
Implemented dashboards and analytics for sellers to monitor performance, analyze sales data, and refine their
strategies.
Ensuring scalability and a user-friendly interface to provide long-term value for buyers and sellers while addressing market…Designing a robust online marketplace catering to manufacturers, small businesses, and homegrown services.
Developing features such as AI-powered recommendations, integrated payment systems, and automated social media marketing.
Implemented dashboards and analytics for sellers to monitor performance, analyze sales data, and refine their
strategies.
Ensuring scalability and a user-friendly interface to provide long-term value for buyers and sellers while addressing market gaps.
Collaborating with cross-functional teams, aligning technical development with business objectives to drive product success and innovation.
Other creators -
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Predictive Analytics for Customer Churn in Banking Industry
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By analyzing historical customer data, we identified key factors driving churn. Starting with data pre processing and outlier detection, Feature engineering was employed to create relevant features, followed by the development and
comparison of various machine learning models such as Naive Bayes, Logistic Regression, Random Forest, and Gradient Boosting. The final step involved analyzing feature importance to gain insights into the factors driving customer churn.Other creators -
Recommendations received
7 people have recommended Jatin
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