Rishi
Patel

Data enthusiast from Waterloo, Ontario

Intro

What I am all about.

I am a skilled Developer with a strong background in Python and C++, coupled with a passion for Data analysis and Machine learning. With a Masters's degree in Electrical & Computer Engineering, specialized in AI and ML, I bring a diverse range of technical skills and a proven track record of 2 years in the industry.

At University of Waterloo, I am working as a Research Assisstant in the Control, Learning and Logic group under the supervision of Prof. Yash Vardhan Pant. From implementing end-to-end ETL processes to creating advanced machine learning models, I thrive in delivering high-quality solutions that drive innovation and impact. Explore my projects and experiences to discover how I can contribute to your next endeavor.

Let's embark on a journey through the world of coding, data, and technology together!

Python 95%
SQL 83%
AWS 77%
Data Science 81%

Skills

Elon Musk would be jealous.

Programming

Python, C, C++, R, HTML, CSS, JavaScript

Database

MySQL, PostgreSQL, NoSQL, SQLite

Tools

Snowflake, PowerBI, Tableau, Matlab, GitHub, Django, Flask

AWS

EC2, Lambda, Elastic Beanstalk, RDS, S3, Athena, Glue, Sagemaker, Route 53, Cloudfront, SQS, SNS, ECS, EKS, Cloudformation

Machine Learning

TensorFlow, PyTorch, NumPy, Scikit-learn, Pandas, Matplotlib, Keras, Pytest

Orchestration

Airflow, Kafka, Jenkins, GitLab, Docker, Kubernetes

Experience

Crafting Expertise, One Insight at a Time.

  • Cloud Data Engineer

    BMO Financial Group - 2024 - Present

    Conversion of on-premises applications to cloud-based solutions on AWS, emphasizing the design, implementation, and optimization of data pipelines and architectures for seamless migration and efficient resource utilization.

  • Research Assisstant

    University of Waterloo - 2023 - 2024

    Contributed to an ETL pipeline in Airflow, enhancing system robustness by 8% through the implementation of machine learning models. Developed REST APIs for decision-making and harnessed PowerBI for insightful data analysis.

  • Teaching Assisstant

    University of Waterloo - 2022 - 2022

    Administered plagiarism detection software and orchestrated a GitLab-based CI/CD pipeline for streamlined coursework grading. Skillfully coordinated tasks and fostered effective teamwork.

  • Masters in Engineering

    University of Waterloo - 2021 - 2022

    Graduated with a 3.8 GPA, specializing in Artificial Intelligence and Machine Learning. Equipped with advanced skills in data analysis, software development, and machine learning algorithms.

  • Data Engineer

    Varroc Engineering - 2019 - 2021

    Orchestrated robust data pipelines, led Python and SQL-based data solutions, and automated workflows for 23% efficiency gains. Architected cost-saving data systems, optimized databases, and documented projects for collaborative knowledge sharing.

  • Bachelors in Engineering

    University of Pune - 2015 - 2019

    Completed a comprehensive program in Electronics & Telecommunication Engineering, building a strong foundation in software and hardware systems.

Projects

I build the real value.

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Stock Market real-time streaming

Executed a real-time data pipeline leveraging Kafka and AWS (EC2, Glue, S3, Athena). Orchestrated data ingestion, enabling seamless storage, database population, and efficient querying via Athena.

Category: Data Engineering

Association: Personal

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Data Analysis and Classification

Executed machine learning techniques for image processing on Kaggle data with a prediction accuracy of 91% and formulated a sentiment analysis tool (NLP) using Python's NLTK and utilised Snowflake for analysis.

Category: Machine Learning

Association: Personal

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Vertex Cover problem

Integrated application in Python and C++ to generate inputs for streets and intersections, create graphs and solve the vertex cover problem in an optimized manner using SATisfiability solvers.

Category: Software Engineering

Association: Personal

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Finance Tracker

Created and enhanced dynamic financial dashboard with Power BI, featuring interactive data visualization and trend analysis, highlighting proficiency in data-driven decision-making.

Category: Analytics

Association: Personal

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Robust Modeling of Deep-Learning based Perception

Engineered a Linux-based Perception module for autonomous vehicles, merging Python, YOLO, a range of sensors, and cameras to generate a crucial dataset, resulting in 33% reduction in debugging time.

Category: Autonomous Vehicles

Association: University of Waterloo