Shubham Singh

Data Scientist

https://www.opentalent.in/shubham-singh-14

CITIBANK

Key Strengths

Strong foundational knowledge in Machine Learning and NLP, demonstrated through multiple projects like 'CKD_prediction', 'thesis-resume-to-job-description-matching', and 'Bio_Medical_Question_Answering_NLP'.
Experience with advanced computer vision techniques, specifically YOLOv5 for object detection in 'japanese_business_card_recognition_ocr' and 'Face-Mask-Detection'.
Exposure to MLOps and deployment considerations, indicated by projects involving Dockerfile, GitHub Actions for CI/CD, and Kafka for messaging patterns.
Demonstrated interest in Generative AI and Multi-Agent Systems, as shown by 'prompt_optimization_studio' and 'agentic-ai-multi-agent-systems' projects.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's project portfolio demonstrates a strong inclination towards personal learning and exploration, covering a wide range of modern data science and AI topics. This self-starter attitude could be a good fit for an innovative and research-oriented culture. The current role as 'Data Scientist' at CITIBANK aligns with the target role, suggesting career focus. However, the lack of team-based projects or contributions to open-source initiatives makes it difficult to fully assess collaborative cultural fit.

Soft Skills & Operational Fit

The candidate's project descriptions indicate a proactive and self-driven individual, capable of tackling complex problems independently. The variety of projects suggests adaptability and a willingness to explore diverse technical areas. However, without psychometric test results or interview data, it is difficult to assess specific soft skills like teamwork, stress handling, or communication clarity in a collaborative setting.

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Projects

kafka-design-patterns-python

April 19, 2026 – Present

Reference implementations of structural messaging patterns for Apache Kafka producers and consumers in Python.

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cognitoport

April 15, 2026 – Present

Portfolio website featuring generative AI projects, technical skills, and professional experience.

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github-actions-python-cicd-docs

April 2, 2026 – Present

Step-by-step CI/CD documentation for Python GenAI apps: GitHub Actions workflows, testing, linting, and deployment patterns (including Azure).

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prompt_optimization_studio

March 25, 2026 – Present

prompt_optimization_studio — GitHub repository

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agentic-ai-multi-agent-systems

February 15, 2026 – Present

A reference repository for Agentic AI and Multi-Agent Systems. Includes framework-agnostic theory (tool, memory, and state lifecycles; guardrails; design patterns; production considerations), multi-agent architecture documentation, and implementation examples using the OpenAI API, CrewAI, and LangGraph.

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thesis-resume-to-job-description-matching

September 11, 2023 – October 6, 2025

Traditional keyword-based job matching overlooks context. My MSc Thesis proposes a 3-stage NLP pipeline: - 1. HDBSCAN clustering of JDs by semantics, 2. cosine similarity for document-level matching, 3. skillset similarity via phrase extraction. The system ranks top-10 jobs using averaged contextual scores, offering more precise recommendations

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CKD_prediction

October 16, 2022 – January 20, 2023

Using Machine Learning for prediction of Chronic Kidney Disease (CKD)

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japanese_business_card_recognition_ocr

January 29, 2022 – October 20, 2025

Japanese Business Card Management with YoloV5 and OCR: Automated Fragmentation and Label Recognition

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Bio_Medical_Question_Answering_NLP

January 9, 2022 – May 25, 2023

Advanced information extraction & retrieval (question-answering) with Bio-Medical dataset using NLP transformers, topic modelling and document search.

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Face-Mask-Detection

October 23, 2020 – October 24, 2020

Face Mask Detection could be useful to detect the people in crowd who are not wearing masks. This project aims towards training the YOLO v5 neural network form the data containing images with people wearing mask, incorrectly wearing masks or not wearing the mask at all. The trained YOLO v5 network is applied on images, video or on real time video using web cam

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Key Strengths

Strong foundational knowledge in Machine Learning and NLP, demonstrated through multiple projects like 'CKD_prediction', 'thesis-resume-to-job-description-matching', and 'Bio_Medical_Question_Answering_NLP'.
Experience with advanced computer vision techniques, specifically YOLOv5 for object detection in 'japanese_business_card_recognition_ocr' and 'Face-Mask-Detection'.
Exposure to MLOps and deployment considerations, indicated by projects involving Dockerfile, GitHub Actions for CI/CD, and Kafka for messaging patterns.
Demonstrated interest in Generative AI and Multi-Agent Systems, as shown by 'prompt_optimization_studio' and 'agentic-ai-multi-agent-systems' projects.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Shubham Singh

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Experience

Projects

Key Strengths

Cultural & Operational Fit