Dhruv Chandra Lohani
Data Scientist(⊙_◎) ??
Student
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
(⊙_◎) ??
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Student
Data Scientist
June 16, 2026 – Present
Expense-tracking-application
April 24, 2026 – Present
Built using Claude Code, utilizing the Qwen3.5 as the underlying language model.
View Projectdeeplearning.ai-Agentic-AI
April 23, 2026 – Present
deeplearning.ai-Agentic-AI — GitHub repository
View ProjectCloud-Native-MLOps-Platform-for-Text-Classification
November 21, 2025 – Present
End-to-end text classification MlOps project. For more info, check out the project guide.
View ProjectDSA-Patterns
October 24, 2025 – Present
A comprehensive resource covering all patterns of DSA, including Arrays, Strings, Linked Lists, Stacks, Queues, Binary Trees, BSTs, Graphs, and Dynamic Programming. Provides detailed explanations for every scenario, along with key insights to help you tackle new problems effectively. Includes pattern-wise problem sets for structured practice.
View ProjectTransformers-for-Vision-and-Multi-Modal-LLMs
October 22, 2025 – Present
Transformers-for-Vision-and-Multi-Modal-LLMs — GitHub repository
View ProjectUNet-Based-Crack-Segmentation-System
October 20, 2025 – October 25, 2025
UNet-based deep learning pipeline for crack detection on the crack500 dataset, with hyperparameter optimization, data augmentation, experiment tracking, and modular architecture for training, testing, and evaluation using IoU and Dice metrics.
View ProjectgithubDesktop-test-repo
October 18, 2025 – October 18, 2025
githubDesktop-test-repo — GitHub repository
View ProjectCultural Fit Analysis
The candidate shows a strong inclination towards self-learning and project-based development, which can be a positive cultural fit for an innovative environment. However, the lack of team-based projects or professional experience makes it difficult to fully assess collaboration and broader cultural alignment. The project diversity is good within the Data Science domain, but there's limited evidence of broader industry exposure or cross-functional collaboration.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's experience is listed as 'Student' with a current role as 'Data Scientist' starting in 2026, which is unusual and lacks detail for evaluation.