Sneha Manikanddan
Utrecht
Summary
Applied Data Science graduate with hands-on experience applying AI and analytics to real business use cases across sustainability, risk, and consumer insights. Worked as an AI Intern at Sustaira developing AI agents and automation for ESG and carbon management; as a Risk and Management Intern at Triodos Bank improving monitoring with Python and dashboards; and as a Data Analyst at Nielsen using Python, SQL, and predictive analytics to enhance forecasting. Contributed to responsible AI research at AI Inclusive Lab and supported AI innovation initiatives at AI4LNL. Skilled in Python, Scikit-learn, TensorFlow/PyTorch ), ML models, NLP/OCR, predictive analytics, and translating business needs into practical AI solutions. Creative problem solver with a hands-on coding mindset, foundational ERP/IT platform knowledge, and a collaborative approach. Fluent in English with growing Dutch proficiency.
Overview
4
4
years of professional experience
Work History
AI Intern
Sustaira
11.2025 - Current
- Developed AI agents and automation features for ESG and sustainability reporting.
- Transformed sustainability requirements into practical AI applications.
- Collaborated with engineering, product, and ESG teams to implement AI-driven solutions.
AI Research Intern
AI Inclusive Lab
02.2024 - 09.2025
- Built Python tools for explainability and responsible AI.
- Researched inclusive AI for Global South applications.
- Supported workshops and community-driven responsible AI initiatives.
Entrepreneur Intern
AIAALL
08.2024 - 08.2025
- Guided women entrepreneurs in identifying and scoping AI use cases.
- Facilitated collaboration between technical and non-technical teams.
- Streamlined product launch processes for improved time to market.
Data Analyst
Nielsen
04.2022 - 04.2025
- Delivered insights for FMCG and tech clients using Python, SQL, and analytics.
- Automated reporting pipelines, improving speed by 40%.
- Converted insights into business-ready recommendations.
Risk Management Intern
Triodos
04.2022 - 04.2023
- Enhanced prepayment risk monitoring for Dutch mortgage portfolios.
- Built model-performance dashboards using R², MAE, confidence intervals.
- Improved model transparency using calibration and validation techniques.
Education
MSc - Applied Data Science
Utrecht University
09.2025
BSc - Information Technology
PSGR Krishnammal College for Women
06.2022
Skills
- AI & ML: Python, Scikit-learn, TensorFlow, PyTorch (foundational), ML models, NLP/OCR, Vector Databases, AI Agents
- Analytics: SQL, Power BI, Predictive Analytics, Dashboarding, Statistical Modeling
- AI Enablement: Translating business needs, Prototyping, Automation, Solution Design
- Professional: Problem-solving, Stakeholder Communication, Collaboration
- IT Platforms: ERP (SAP, Microsoft), Cloud (Azure/AWS), API Integration
PROJECTS
BUNQ Banking Assistant (May 2025 – May 2025, Amsterdam), Developed an AI-powered financial companion using bunq APIs, RAG pipelines, and memory modules., Designed visual dashboards to track spending and financial goals., Enabled context-aware financial coaching., Sustainable Recommender System for Public Media (BBC Prototype) (Apr 2025 – Apr 2024), Built an AI-driven recommender embedding sustainability, accessibility, and transparency., Developed carbon-aware content scoring to reduce energy impact., Applied Green AI principles balancing personalization with environmental responsibility.
LANGUAGES
English (Native)
Dutch (A1)
French (A1)
Timeline
AI Intern
Sustaira
11.2025 - Current
Entrepreneur Intern
AIAALL
08.2024 - 08.2025
AI Research Intern
AI Inclusive Lab
02.2024 - 09.2025
Data Analyst
Nielsen
04.2022 - 04.2025
Risk Management Intern
Triodos
04.2022 - 04.2023
BSc - Information Technology
PSGR Krishnammal College for Women
MSc - Applied Data Science
Utrecht University