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Maersk Training
Data Scientist
June 13, 2026 – Present
TaskFlow
November 16, 2023 – November 22, 2023
TaskFlow is a feature-rich app enabling seamless organization collaboration through kanban-style boards, lists, and cards, backed by secure authentication, activity tracking, and Stripe-based subscriptions for unlimited board access. Powered by PostgreSQL, Prisma ORM, and styled with shadcnUI and TailwindCSS.
View ProjectNeetCode-ALL
November 5, 2023 – December 1, 2023
This repo contains practise problems of "NeetCode All" problem set
View Projectecommerce-dashboard-cms
September 2, 2023 – October 16, 2023
This project is a versatile e-commerce platform that utilizes Shadcn UI for the administration interface. It provides a centralized CMS for managing multiple vendors and stores, with automated API route generation for each. It also offers comprehensive management of categories, products, filters, and image updates.
View ProjectPersonal-Companion
February 28, 2022 – March 1, 2022
The Personal Companion app has features for tracking spending, taking notes, and calculating steps. SQLite is the database, and the app is made with flutter.
View ProjectAudio-Classification-Deep-Learning
February 27, 2022 – March 8, 2022
We'll look into audio categorization using deep learning principles like Artificial Neural Networks (ANN), 1D Convolutional Neural Networks (CNN1D), and CNN2D in this repository. We undertake some basic data preprocessing and feature extraction on audio sources before developing models. As a result, the accuracy, training time, and prediction time of each model are compared. This is explained by model deployment, which allows users to load the desired sound output for each model that is successfully deployed, as will be addressed in more depth later.
View ProjectNetflix-EDA
February 24, 2022 – March 1, 2022
The Netflix Dataset's exploratory data analysis is housed in this repository. To evaluate the pattern and extract relevant information from it, the dataset is applied to various data mining algorithms such as Naive Bayes Classifiers, K-Nearest Neighbor(KNN), and Apriori.
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a strong inclination towards personal projects across various domains, including data science, e-commerce, and mobile development. This indicates a proactive and self-driven individual. However, the lack of team-based projects or contributions to open-source initiatives makes it difficult to fully assess cultural fit in a collaborative professional environment. The current role as 'Data Scientist' at Maersk Training, if current, aligns with the target role, but no details are provided about the responsibilities or team dynamics.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions indicate an ability to work on diverse technical challenges, but there is no information regarding collaboration, problem-solving approaches, or communication in a team setting.