Abishek A S

Data Scientist

https://www.opentalent.in/abishek-a-s

Maersk Training

Key Strengths

Demonstrated interest in Data Science through projects like 'Audio-Classification-Deep-Learning' and 'Netflix-EDA'.
Experience with various machine learning algorithms (ANN, CNN1D, CNN2D, Naive Bayes, KNN, Apriori).
Proficiency in Python and Jupyter Notebook for data analysis and model development.
Exposure to deep learning concepts and model deployment.

Cultural & Operational Fit

Cultural 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.

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Projects

go-rest-api-with-jwt

May 15, 2026 – Present

go-rest-api-with-jwt — GitHub repository

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nextjs-portfolio

May 11, 2024 – Present

nextjs-portfolio — GitHub repository

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expense-tracker

May 1, 2024 – May 1, 2024

expense-tracker — GitHub repository

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dot-files

December 9, 2023 – Present

This repo contains .config files for linux

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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.

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NeetCode-ALL

November 5, 2023 – December 1, 2023

This repo contains practise problems of "NeetCode All" problem set

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ecommerce-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.

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Personal-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.

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Audio-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.

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Netflix-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 Project

Key Strengths

Demonstrated interest in Data Science through projects like 'Audio-Classification-Deep-Learning' and 'Netflix-EDA'.
Experience with various machine learning algorithms (ANN, CNN1D, CNN2D, Naive Bayes, KNN, Apriori).
Proficiency in Python and Jupyter Notebook for data analysis and model development.
Exposure to deep learning concepts and model deployment.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Abishek A S

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Experience

Projects

Key Strengths

Cultural & Operational Fit