Sneha Sharma
Portfolio
Data & AI/ML
Engineering
Data Engineering · Machine Learning · Artificial Intelligence
I am a Data and AI/ML engineering enthusiast focused on building reliable data pipelines, machine learning systems, and intelligent applications. I enjoy transforming raw data into scalable solutions through analytics, automation, machine learning, and modern AI technologies.
Technical Toolkit
Skills
Data Analytics
Querying, business intelligence, and the dashboards decisions get made from.
Tableau
Power BI
Pandas
NumPy
Data Science
Modeling and building the applications that put a model in front of people.
Python
Scikit-learn
Streamlit
Git
Data Engineering
Pipelines and platforms that keep running after the demo is over.
PySpark
Databricks
Microsoft Fabric
Airflow
dbt
Docker
AI / ML
Model training, generative AI, and getting it all into production.
TensorFlow
Generative AI
Gemini API
Selected Work
Projects
Padh.AI
A RAG-based educational platform designed to transform university documents, PDFs, and past examination papers into structured and AI-accessible knowledge. The platform uses agentic retrieval and multimodal AI workflows to support academic research and learning.
Agnos AI
A real-time biometric attendance system using facial recognition, WebRTC, Streamlit, TensorFlow, and OpenCV. The system processes live video streams and performs automated attendance logging.
Customer Experience Analysis
End-to-end exploratory data analysis using Python and SQL to identify customer behavior patterns, engagement trends, and potential churn indicators.
Resume Compatibility Scorer
A Streamlit application that evaluates resume and job description compatibility and generates intelligent insights using the Gemini API.
Netflix Analysis Dashboard
An interactive Tableau dashboard providing insight into Netflix user data, viewing patterns, and content trends.
Credentials
Certifications
Professional Experience
Work Experience
Cohere Labs Open Science Community
Member- Engage with a global community of machine learning researchers and engineers exploring open research collaboration and emerging AI technologies.
- Participate in reading groups, guest speaker sessions, collaborative projects, and discussions spanning NLP, retrieval, ML agents, safety, and multimodal AI.
FlyRank AI
Machine Learning Intern- Apply end-to-end machine learning workflows including data preprocessing, exploratory data analysis, feature engineering, model development, and performance evaluation.
- Develop production-oriented machine learning projects and practical solutions that translate business problems into data-driven systems.