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Data Scientist at Blackstraw.ai
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Assessing your cultural and operational fit
Blackstraw.ai
Data Scientist
June 20, 2026 – Present
Representation-Learning-for-Information-Extraction
November 4, 2020 – November 26, 2022
Pytorch implementation of Paper by Google Research - Representation Learning for Information Extraction from Form-like Documents.
View ProjectTennis-Deep-Reinforcement-Learning
December 1, 2019 – December 1, 2019
Training Multiple agents in the same environment to collaborate and compete with each other
View ProjectContinuous-Control
November 22, 2019 – December 1, 2019
In this environment, a double-jointed arm can move to target locations. A reward of +0.1 is provided for each step that the agent's hand is in the goal location. Thus, the goal of your agent is to maintain its position at the target location for as many time steps as possible.
View ProjectMulti-Scale-Template-Matching-OpenCV
June 10, 2019 – June 10, 2019
Multi scale template matching using opencv
View ProjectFace-Generation-using-GAN
April 5, 2019 – April 5, 2019
In this project,generative adversarial networks is used to generate new images of faces.
View ProjectGenerating_TV_Scripts
March 15, 2019 – November 29, 2019
Generating TV Scripts using RNNs
View ProjectSkin-Cancer-Detection-Udacity
March 13, 2019 – March 13, 2019
An algorithm that can visually diagnose melanoma, the deadliest form of skin cancer. In particular, algorithm will distinguish this malignant skin tumor from two types of benign lesions (nevi and seborrheic keratoses). This project was developed as a part of Udacity's deep learning nanodegree mini project.
View ProjectDog-Breed-Classification
February 28, 2019 – March 15, 2019
Dog breed classification using pytorch
View ProjectBike-Sharing-Deep-Learning
February 5, 2019 – August 20, 2019
Project 1 of Udacity's Deep Learning Nanodegree
View ProjectCultural Fit Analysis
The candidate's projects are primarily personal and academic, indicating a strong interest in learning and applying new technologies. However, the lack of team-based projects or contributions to open-source initiatives makes it difficult to assess cultural fit in a collaborative professional environment. The single professional experience entry is current, but no details are provided about the role or contributions.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions are concise, but there is no information regarding collaboration, problem-solving approaches, or communication style in a team setting.