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plugin-data-seeding
August 26, 2024 – Present
Migrate real data, generate fake data using GenAI, or deploy data files to target orgs.
View ProjectIPS-Softskill_Enablement_2019
August 19, 2019 – August 19, 2019
IPS-Softskill_Enablement_2019 — GitHub repository
View ProjectComparison-of-Prediction-Models
April 3, 2018 – April 3, 2018
Deep Neural Network & Regression (SVM,Linear Regression, ARD Regressor, LassoLars Regressor, TheilSen Regressor )
View ProjectAI-Assignment
March 26, 2018 – March 26, 2018
BFS,DFS,Best First Search, A* and Hill Climbing algorithms
View Projectraw-files-for-main-project
March 25, 2018 – November 27, 2018
raw-files-for-main-project — GitHub repository
View ProjectDeep-Neural-Network-Model-for-Load-Predicition
March 11, 2018 – April 2, 2018
A Machine Learning approach for energy load prediction.
View ProjectLoad-Prediction-Machine-Learning-Approach
February 10, 2018 – February 10, 2018
Load-Prediction-Machine-Learning-Approach — GitHub repository
View ProjectZero-Queue-Billing-App-With-BarCode-Scanner
January 26, 2017 – January 26, 2017
Android Application for Supermarkets ,which allows the customer to scan the item to their cart and pay the bill via the app,hence minimized queue in the supermarket billing counter.
View ProjectCultural Fit Analysis
The candidate's projects show a mix of interests, including mobile development, web development, and machine learning. While there's a clear alignment with Data Scientist roles through several ML projects, the overall project diversity suggests a broad interest rather than a focused deep dive into data science. The 'plugin-data-seeding' project involving GenAI is relevant, but the primary technologies listed are TypeScript, JavaScript, Shell, and Batchfile, which are less directly aligned with core Data Scientist responsibilities. The lack of professional experience or detailed project descriptions makes it difficult to fully assess cultural fit beyond a general interest in technology.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.