Kshitij Kumar Singh Chauhan

AI Researcher

India2 yrs 11 mos experience

Most Likely To SwitchAI ML Practitioner

Key Highlights

Innovate 2025 semi-finalist and IAM 2023 winner.
Published research in IEEE and ACM venues.
Expert in building scalable AI-driven solutions.

Stackforce AI infers this person is a Data Scientist with expertise in AI and analytics for Fintech and IoT industries.

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Skills

Core Skills

Data ScienceMachine LearningTeachingEmbedded Systems

Other Skills

GitTensorFlowNLPPythonSQLPower BIReactBusiness ProcessData VisualizationPandasMentoringC++Internet of Things (IoT)LinuxBash

About

Driving innovation at the intersection of data, AI, and business impact. Proven track record in building scalable solutions and leading projects that move from concept to adoption. Recognized as Innovate 2025 semi-finalist and IAM 2023 winner, with research published in IEEE and ACM venues. Experienced across analytics, product, and research, with a consistent focus on solving complex problems and delivering measurable outcomes.

Experience

2 yrs 11 mos

Total Experience

11 mos

Average Tenure

1 yr 10 mos

Current Experience

American express

2 roles

Data Scientist

Aug 2024 – Present · 1 yr 10 mos · Hybrid

Architected and deployed an enterprise-grade Thematic Analytics pipeline using advanced NLP models (BART-MNLI, RoBERTa) to auto-detect customer themes and emerging issues across multi-market feedback data.
Built modular APIs and automation layers in Python, integrating model inferences and sentiment analytics into live dashboards for instant CX and product insights.
Developed interactive AI dashboards and micro-apps with React and Plotly Dash, transforming static reports into self-serve, intelligent analytics tools.
Designed scalable data pipelines spanning ingestion (SQL, Airflow), model execution, and visualization (Power BI, React), improving system reliability and reducing latency by 30%.
Implemented CI/CD and Git-based versioning workflows, streamlining model updates and dashboard deployments across global analytics teams.
Collaborated with cross-functional stakeholders (Analytics, DSN, Product, CX) to translate strategic business goals into deployable, AI-driven solutions adopted at scale.

GitTensorFlowData ScienceMachine Learning

Analyst Intern

Jan 2024 – Jun 2024 · 5 mos · Gurugram · Hybrid

Designed and implemented NLP-based complaint categorization pipelines using Python and Pandas, improving classification accuracy by 10%.
Built Generative AI and Zero-Shot learning workflows to automate feedback tagging and reduce dependency on manual keyword rules.
Integrated ML model outputs into React dashboards for real-time visualization of business metrics, enhancing decision-making speed.
Streamlined reporting and data aggregation processes, reducing manual workload by ~25% and improving analytics turnaround.

Business ProcessData VisualizationData ScienceMachine Learning

Iiit-naya raipur

Teaching Assistant - Volunteering

Sep 2023 – Jan 2024 · 4 mos · On-site

Assisted in teaching Computer Science and Machine Learning coursework, supporting hands-on lab sessions and assessments.
Mentored undergraduate students in data analysis, statistical methods, and Python programming, improving project and exam performance.
Collaborated with faculty to design course materials and evaluate assignments, ensuring academic rigor and practical learning outcomes.

Machine LearningMentoringTeaching

Samsung r&d institute india - bangalore

Research Intern

Sep 2022 – Jun 2023 · 9 mos · Remote

Extended Chromium source code to enable IoT-specific functionalities, optimizing data communication and on-device performance.
Integrated multi-classifier ML models with an on-device parser to enhance data extraction and improve inference efficiency.
Built a lightweight keyword-extraction pipeline for low-latency processing using Linux and Bash, improving runtime by 25%.
Collaborated with the systems team to develop scalable ML-driven components for embedded analytics applications.
Received Certificate of Excellence for contributions in applied ML research and system design.

C++Internet of Things (IoT)Embedded SystemsMachine Learning