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Sathvik Divili

🎨 Skills

Programming Languages:Python, SQL, Bash, R and MATLAB
Machine Learning:TensorFlow, Pytorch, Scikit-learn, Pandas, XGBoost
NLP:LangChain, LangGraph, CrewAI, Prompt Engineering, OpenAI API, Claude API, Retrieval Augmented Generation (RAG), Agentic AI, Model Context Protocol (MCP), HuggingFace
MLOps:Apache Airflow, DagsHub, MLflow, Data Version Control (DVC)
Cloud & DevOps:AWS (Sagemaker, Lambda, EC2, S3), GCP, Docker, Kubernetes, CI/CD
API & Backend:FastAPI, Flask, REST APIs, WebSockets
Databases:PostgreSQL, MySQL, MongoDB
BI Tools:PowerBI, Tableau, Google Data Studio

💼 Professional Experience

Data Analyst | Treasury Board & Finance, Government of Alberta, Canada
09/2025 – Present
  • Designing and automating scalable data pipelines and data models across cloud and hybrid environments to support analytics, machine learning, and AI workloads.
  • Working with Large Language Models (LLMs), including RAG workflows, model fine-tuning, and building AI agentic workflows for applied business use cases.
  • Developing and operationalizing machine learning and analytics solutions using Python/PySpark and Power BI, integrating diverse data sources, communicating insights effectively, and ensuring compliance with data privacy standards of the government.
Data Scientist (Part-time) | The Visual Thinking Company, Canada
11/2025 – Present
  • Built an automated LLM-based content generation pipeline using Python, Pandas, Prompt Engineering and Anthropic Claude API to produce wiki-style school summaries for their Metro Vancouver's School Space Finder Platform with ~800 schools across 3 districts.
  • Developed an interactive school analytics engine and dashboard with data-driven visualizations using React, TypeScript, Chart.js and dynamic SQL queries for data retrieval. The platform delivers multi-dimensional insights into enrollment trends, facility conditions, and academic performance, enabling comparative analysis of school-level metrics against district standards through multiple interactive graphs, plots, and time-series visualizations.
Data Scientist (MITACS) | Justice Data and Design Lab, Canada
05/2023 – 04/2024
  • Led the data analysis and data acquisition efforts to utilize data analysis and machine learning to enhance access to justice for Canadians.
  • Developed an AI chatbot with Large Language Models (LLM) & Retrieval Augmented Generation (RAG) to solve access to justice problems in Canada by providing required legal information. (Testimonial)
  • Collaborated with the Law Foundation of British Columbia, lawyers, law and data science students, and a prototyping team from the Centre for Digital Media, Vancouver.
  • Performed advanced data analysis, topic modeling, sentiment analysis on large text datasets, extracted key-insights and led the discovery of new datasets to improve legal services and strategies. (Proof)
Data Analyst Intern | Zetron Inc, Canada
01/2024 – 12/2024
  • Designed, built and maintained ETL pipelines, data modelling, data visualizations, analytical dashboards, KPIs and automated reporting solutions using SQL, Power BI, DAX, Power Query(M), and Power Automate.
  • Reduced manual reporting time by 60% and enhanced data-driven decision-making which resulted in higher productivity in operations across teams in Canada, US, UK, and Australia.
  • Improved data reporting and data management for Project Management, Engineering, Systems Delivery and Finance teams across the organization.
Machine Learning Engineer Intern | Ascentia.AI Solutions LLP, India
01/2022 – 06/2022
  • Worked on "Appitect" project, a sketch-to-code solution to streamline the UI/UX development for websites and mobile applications.
  • Conducted the training, testing, feature engineering and model evaluation of multiple deep learning models for object detection by collaborating with a team of machine learning developers and the CEO of the organisation.
  • Curated a fully custom annotated dataset of 20,000 wireframes for training and testing an object detection model which automates UI/UX development.

🤝 Volunteering Experience

Product Builder | Build Canada
07/2024 – Present
  • Actively Volunteering and contributing to open-source projects at Build Canada, made the Alberta Spends project and represented build canada at events like DemoCamp, Edmonton.
AI Policy Volunteer | AIGS (AI Governance & Safety), Canada
07/2024 – 12/2024
  • Actively Volunteered and contributed to various projects at AIGS, previously focused on the memo "Bill SB1047 and what can Canada learn from it?"
  • Successfully completed the inaugural cohort of the "Canadian AI Policy Course" offered by AIGS, Canada.

🎓 Education

Master of Engineering in Applied Data Science
2023 - 2024
University of Victoria, Canada(CGPA: 3.55/4)
Bachelor of Technology (Information Technology)
2018 - 2022
Symbiosis International University, Pune
Diploma in Business Management
2019 - 2020
Symbiosis International University, Pune