15+ Fully Functional Projects
Hi, I'm Nishit!
Data Scientist
HTML5/CSS3 Mastery
Product Design
Branding
Collaborative Team Player
About Me
Hey there! I'm Nishit Rathod—a Toronto-based tech explorer who juggles data science, machine learning, cloud solution development, software engineering, DevOps, and data analysis like a circus pro. I dive into everything from crunching big data and training ML models (that occasionally outsmart me) to orchestrating cloud infrastructures that perform smoother than a jazz solo. Every bug is just an unexpected plot twist in my coding adventure!
When I'm not busy teaching algorithms, new tricks or building DevOps pipelines that run like clockwork, you'll find me geeking out over data visualizations that practically tell a story. I believe that mixing humor with hard-core tech know-how makes every challenge more fun—because why cry over spilled code when you can laugh and refactor instead?
Welcome to my digital playground, where complex tech talk meets a healthy dose of wit and wisdom. Here, I share insights, quirky project updates, and the occasional tech pun that only true code aficionados will appreciate. Thanks for stopping by—let’s code, laugh, and transform the world of tech one byte (and one giggle) at a time!
Kind words from Colleagues
Profile of Skills
Amazon Web Services (AWS) is a comprehensive cloud computing platform offering a wide range of services, including computing power, storage, and databases. It enables businesses to scale, innovate, and operate efficiently through secure and flexible cloud solutions.
Amazon Web Services
Microsoft Azure is a cloud computing platform by Microsoft. It offers computing, analytics, storage, and networking services. With Azure, businesses can build, deploy, and manage applications through Microsoft's global data centers, ensuring scalability and flexibility.
Microsoft Azure
Google Cloud Platform (GCP) is a suite of cloud computing services by Google. It provides a range of services for computing, storage, and networking. With GCP, businesses can build, deploy, and scale applications through Google's infrastructure, ensuring flexibility, reliability, and security.
Google Cloud Platform
An open-source platform that automates the deployment, scaling, and management of applications using containerization.
Docker
An open-source system for automating the deployment, scaling, and management of containerized applications. It groups containers into logical units for easy management and discovery.
Kubernetes
A web-based platform for version control and collaboration, allowing multiple people to work on projects simultaneously, track changes, and manage code repositories using Git.
GitHub
A business analytics tool by Microsoft that enables users to visualize data, share insights across their organization, and embed them in an app or website.
Microsoft PowerBI
Databricks is a unified, cloud-based Data Intelligence Platform designed to simplify big data processing, analytics, and artificial intelligence.
Azure Databricks
A spreadsheet program by Microsoft used for data analysis and visualization, featuring functions for calculation, graphing tools, pivot tables, and a macro programming language called VBA.
Microsoft Excel
A high-level, interpreted programming language known for its readability and versatility. It's widely used in web development, data analysis, artificial intelligence, and scientific computing.
Python
Structured Query Language is a standardized programming language used for managing and manipulating relational databases.
SQL
A JavaScript library for building user interfaces, particularly single-page applications, by creating reusable UI components.
React.js
Work Experience
01
Data and Systems Analyst
Ministry of Public and Business Service Delivery and Procurement, Toronto, ON
Aug 2025 - Present
Led end‑to‑end development of advanced AI and data solutions, including a fine‑tuned LLM POC on education‑sector data using Databricks (training, testing, validation, deployment, serving endpoints). Integrated the model with a GitHub Copilot–powered chatbot embedded in Power BI and data‑collection sites, enabling real‑time, context‑aware insights and improving accessibility and decision‑making across stakeholders.
Designed and modernized enterprise data workflows and analytics products by contributing to ODP/Azure Data Factory/Databricks migration planning, optimizing Power BI data models for the Ontario Math Achievement Action Plan, and building an AI‑assisted automated documentation pipeline for SHSM Power BI assets using GitHub Copilot and Azure DevOps.
Strengthened cross‑ministry collaboration and innovation through delivery of high‑quality data products aligned with OPS IM/governance standards, participation in OPS Hackathon 2025 (Data Hero) to create an end‑to‑end ML classification solution using Databricks, Power Apps, Selenium, and MLflow, and by fostering an inclusive team environment through onboarding, knowledge sharing, and continuous learning initiatives.
Delivered end‑to‑end data, AI, and automation solutions by developing a Python/Flask‑based Word‑to‑HTML converter for Dynamics 365 Knowledge Articles, engineering a large‑scale duplicate‑business‑account detection system using BERT, word embeddings, fuzzy logic, HDBSCAN, and Google Maps API, and creating dynamic Power BI dashboards aligned with Target State Architecture.
Improved operational efficiency and governance through day‑to‑day ICPS data/change request support, formulation of a new Access Change Request business process flow using Visio (with planned Power Apps automation), and enhancements to data visualization, reporting, and business processes across ICPS and related platforms.
Built cross‑functional business and technical expertise by gaining operational knowledge across Marketplace Intelligence and Consumer Services (MICS), Inspections and Investigations, business process reviews, ICPS release cycles, quality assurance, and compliance enforcement, enabling informed collaboration with program areas and stakeholders.
Designed and delivered AI‑driven and data engineering solutions, including the Azure AI FAQ Bot for the MDIS Portal, advanced machine‑learning analyses for transportation datasets, and optimized PCT Data Mart models using SSMS 20, Azure Databricks, Microsoft Fabric, Power Query, DAX, and Power BI—enhancing insight generation, automation, and alignment with Target State Architecture.
Strengthened platform reliability and operational efficiency by assisting with 300+ bug fixes, classifying 9,479 false‑negative documents, supporting digital solutions across multiple teams, developing Contact Data Steward engagement workflows using React.js, Figma, SendGrid API, Microsoft Graph API, and Notify API, and managing incident/change requests through Azure DevOps to reduce downtime and improve productivity.
Contributed to cross‑functional collaboration and service excellence by providing technical support across data products and systems, coordinating with IT and business teams to ensure application stability, and enabling improved stakeholder communication and governance for MTO Data & Information Services Portal assets.
Built an AI-driven Google Calendar assistant in Python with NLP, achieving 97% scheduling accuracy.
Integrated a custom GPT model for enhanced natural language understanding in scheduling.
Demonstrated expertise in machine learning and full-stack development by building an assistant with Streamlit, providing seamless user experience with detailed documentation for business stakeholders.
Developed the Hungry Human, a food ordering platform using Django, Python, HTML, CSS, Java, React.js, boosting Christ University canteen efficiency by over 50%.
Built a real-time dashboard and integrated PayPal for secure transactions, reducing waiting times by 75%.
Conducted testing and refined the user interface to optimize user engagement and operational efficiency.
Projects
DocIntellect is a powerful AI-Powered Document Chatbot built using RAG, LangChain, Chroma, and Ollama.
AI-Stock Advisor is a real-time stock market analysis application that leverages AI to provide intelligent trading insights.
AI-Dentify enables anyone to create a website without coding. Using AI and cloud services, it simplifies website creation. Users describe their website's purpose and features through an intuitive interface. AI-Dentify translates this into website structure and code, generating a functional site that users can customize and deploy.
EKS Database Driven Scalable CloudApp
A two-tier web application deployed on Amazon EKS utilizes Docker containers hosted on Amazon ECR. This application comprises an application server and a MySQL database.
Blogs
The Future of Remote Work
AR Technology Innovative Hardware Laptop Innovation Portable Computing Privacy in Public Spaces Productivity Tools Remote Work Spacetop Laptop Spatial Computing Technology Advancements
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