Shivansh Bhatia
ML EngineerAI 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
Associate Data Warehouse Developer @Assurant
Experienced in leveraging programming expertise and data-driven insights to drive impactful solutions. Proficient in C++, Python, and SQL, with hands-on experience in machine learning and deep learning frameworks like NumPy and Pandas. Skilled in developing robust algorithms and optimizing data structures. Passionate about leveraging technology to solve real-world problems and enhance user experiences. Strong academic background in Electronics and Communication Engineering with a consistent record of academic excellence and practical achievements. Excited to contribute to innovative projects in a dynamic team environment.
Bharati Vidyapeeth's College of Engineering
Bachelor of Technology - BTech
July 1, 2020 – July 1, 2024
Assurant
Associate Data Warehouse Developer
June 1, 2025 – Present
Bengaluru, Karnataka, India · Remote
Assurant
Data Analyst
July 1, 2024 – June 1, 2025
Bengaluru, Karnataka, India · Remote
Coding Ninjas
Teaching Assistant
August 1, 2023 – November 1, 2023
New Delhi, Delhi, India · Remote
Chegg India
Subject Matter Expert
November 1, 2022 – February 1, 2023
New delhi · Remote
GraphIQ Assistant
June 1, 2025 – Present
Designed and built an AI-powered enterprise knowledge assistant using Neo4j, Azure OpenAI, Python, and GraphRAG, enabling contextual search, intelligent Q&A, and graph-based knowledge retrieval across enterprise datasets. Implemented LLM-driven query understanding, relationship traversal, and real-time knowledge discovery.
Knowledge Graph Builder
November 1, 2024 – Present
Built an end-to-end knowledge graph platform using FastAPI, React, Neo4j, and LLMs for automated entity extraction, relationship mapping, and interactive graph visualization. Designed scalable APIs and graph pipelines for transforming unstructured enterprise data into structured knowledge systems.
Data structures and algorithm
Coding Ninjas
June 23, 2026 – Present
C++
Coding Ninjas
June 23, 2026 – Present
Introduction to Programming Using Python
MLSAC-BVP
June 23, 2026 – Present
Data Science Foundations
Great Learning
June 23, 2026 – Present
Android Development
Great Learning
June 23, 2026 – Present
Elements of AI
Google Digital Garage
June 23, 2026 – Present
HackTheCrises
BVPISTE
June 23, 2026 – Present
Introduction to Programming Using Python
Udemy
June 23, 2026 – Present
Certified Programming
TechShuttle, Hack Club BVP 🚀
June 23, 2026 – Present
Cultural Fit Analysis
The candidate's project work demonstrates a proactive approach to learning and applying cutting-edge technologies like LLMs and knowledge graphs. The diverse roles (developer, analyst, teaching assistant) indicate adaptability and a willingness to engage in different aspects of technology. However, the experience level (entry-level roles post-graduation) suggests a need for mentorship and structured growth within a senior ML Engineer role.
Soft Skills & Operational Fit
The candidate's experience as a Teaching Assistant and Subject Matter Expert suggests strong communication and problem-solving skills, which are beneficial for team collaboration and explaining complex technical concepts. The project descriptions indicate an ability to take initiative and build end-to-end solutions.