AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
ERA-v4-decoder-only-GPT2-T
January 5, 2026 – Present
ERA-v4-decoder-only-GPT2-T — GitHub repository
View ProjectTokenizer_primitive_BPE_Kannada
December 12, 2025 – December 12, 2025
Tokenizer_primitive_BPE_Kannada — GitHub repository
View ProjectERA_CIFAR_100_ResNET_18
November 22, 2025 – November 23, 2025
ERA_CIFAR_100_ResNET_18 — GitHub repository
View ProjectERA_CIFAR_10_Session_7
November 10, 2025 – November 10, 2025
ERA_CIFAR_10_Session_7 — GitHub repository
View ProjectERA-V4-Session_6_MNIST_SUB_8K_Params
November 2, 2025 – November 3, 2025
ERA-V4-Session_6_MNIST_SUB_8K_Params — GitHub repository
View ProjectMNIST_SUB_8K_99_4
October 4, 2025 – October 4, 2025
MNIST_SUB_8K_99_4 — GitHub repository
View ProjectMNIST_99_4_VA_20K
September 19, 2025 – September 19, 2025
Training a NN to hit 99.4%+ test accuracy post 15 epochs via pytorch.
View ProjectMNIST_PyTorch_Sub_25k_v1
September 11, 2025 – September 11, 2025
MNIST_PyTorch_Sub_25k_v1 — GitHub repository
View ProjectCultural Fit Analysis
The candidate's personal projects show a strong inclination towards self-directed learning and exploration in the data science domain. The diversity of projects, from NLP (Tokenizer_primitive_BPE_Kannada) to computer vision (ERA_CIFAR_100_ResNET_18), indicates a broad interest within the target role of Data Scientist. However, the lack of professional experience or team-based projects makes it difficult to fully assess cultural fit in a collaborative work environment.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's profile primarily lists technical projects without detailing collaborative efforts, problem-solving approaches, or communication styles.