
Lead Data Scientist
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Ved_shantam_tmc_gbc
March 3, 2024 – March 3, 2024
Ved_shantam_tmc_gbc — GitHub repository
View Projectaws-marketplace-examples
May 11, 2023 – May 12, 2023
This repository contains example resources that demonstrate usage of AWS Marketplace model packages released by SquadStack AI
View Projectdeploy-gcp-kubernetes
May 21, 2022 – July 13, 2022
Getting Started | Deploy ML model with GCP Kubernetes Engine using Django and Docker
View Projectfont-classification
January 10, 2021 – January 11, 2021
Train a model to classify different fonts by self generating training data
View ProjectBP_Rpi
March 29, 2017 – March 31, 2017
Measurement of blood pressure using near infrared spectroscopy through Rpi-python
View ProjectFeature_Keypoints
June 27, 2016 – October 27, 2016
Key points descriptors can be used to determine the key points in an image. Useful information can be extracted from these Keypoints.
View ProjectMotion-Face-detection-based-location-identifier
May 17, 2016 – June 22, 2016
The project intakes a video feed and detects the persons top view location based on the motion detection and face detection.
View ProjectFace_recog_LBPH
April 18, 2016 – April 18, 2016
This projects uses OpenCV face detection and algorithm and recognition based on Local Binary Pattern Histogram. The project includes demonstration on various datasets.
View ProjectCultural Fit Analysis
The candidate's projects are primarily personal and academic, indicating a self-driven learning approach. However, the lack of team-based projects or professional experience makes it difficult to assess collaboration or cultural fit within a corporate environment. The projects align with a Data Scientist role, but the breadth of technologies beyond Python and Jupyter Notebook is limited.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback provided.