Founder & Full-Stack Data Scientist
Resume:
Full Stack Data Scientist
********.**********@*****.***
https://www.linkedin.com/in/kianpaya
https://dvision360.com
Los Angeles, California, 91304, USA
Kian Paya
Founder & Full-Stack Data Scientist
Data Vision North America
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May 2019 Present
Project Engineer
Bombardier Inc. Toronto, Ontario, Canada
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May 2017 Sep 2018
Projects
3D Optimization for Smart Wheelchair Jul 2024 - Present Developed a smart wheelchair integrating 3D CAD modeling in SolidWorks and advanced stress analysis using PyAnsys, optimizing structural integrity and material efficiency. On the software side, employed TensorFlow alongside OpenCV for AI-powered obstacle detection and real-time terrain analysis through LiDAR sensors. This was seamlessly integrated with ROS to create a fluid connection between hardware and software, ensuring enhanced navigation, durability, and adaptability across different environments. Since founding Data Vision in 2019, I've specialized in using data science to drive strategic decisions and business growth. I analyze complex datasets with Python, SQL, and machine learning, building predictive models that solve real- world problems. Additionally, I incorporate web development to craft data-driven marketing strategies, ensuring insights are both actionable and accessible to clients and stakeholders. Data Analysis & Modeling: Utilize advanced statistical techniques and machine learning algorithms with Python, SQL, Pandas, NumPy, and Matplotlib for in-depth analysis of extensive datasets. Machine Learning: Proficient in TensorFlow and PyTorch for crafting and deploying models for predictive analytics, NLP, CNNs, and RNNs.
Web Application Development: Develop and maintain responsive, scalable web applications from conception to launch, proficient in HTML, CSS, JavaScript (React.js), and backend (Django). As a Data Scientist and Web Developer at Data Vision, I leverage my Aerospace Engineering background and technical skills to Problem-Solving Skills, derive insights from data, and deliver comprehensive web solutions. With over six years of experience in data analysis, data visualization, and full-stack web development, I excel in utilizing Python, SQL, machine learning (CNN, RNN), and modern web technologies, including natural language processing (NLP). I am adept at supporting data audit and change management processes, ensuring database quality and performance, and cleaning data files of academic references. My expertise also includes data visualization, deep learning, responsive front-end design, and database management. I thrive on finding innovative ways to leverage data and technology to create value and impact.
Work Experience
As a Project Engineer at Bombardier on the Global 7500 FAL project, I utilized data-driven approaches to enhance project management and outcomes. I developed RFC reports that delivered actionable insights, employing advanced data analysis and coding to efficiently track and analyze change requests. Additionally, I collaborated with cross- functional teams to create data-driven Top Modification Summaries using Datalink software for configuration management, ensuring accurate reporting and alignment among all stakeholders, ultimately contributing to the successful delivery of the aircraft.
Data Governance and Reporting: Developed and maintained governance reports on RFCs (Request for Change), providing data-driven insights into project statuses and trends. Stakeholder Reporting: Generated and distributed daily reports of approved RFCs, utilizing data visualization to communicate complex information clearly to diverse stakeholders. Toronto Metropolitan University
Bachelor of Engineering Aerospace Engineering
GPA: 3.62
Sep 2014 - Apr 2019
Developed a fully customizable, locally hosted chatbot powered by a GPT model for seamless voice and text interaction. The project included the integration of optional features such as OCR, voice-to-text, and language translation, offering businesses flexibility while maintaining full control over customer data. The chatbot improved customer engagement and service response times and was designed to run locally ensuring data privacy and operational independence.
Real-Time Predictive Market Insights Apr 2023 - Feb 2024 Developed real-time predictive models for the retail and e-commerce industry to optimize inventory management, pricing, and demand forecasting. Cleaned and prepared datasets, testing models like LSTM, ARIMA, and XGBoost, with PyCaret for automated comparisons. Deployed via CI/CD pipelines and Docker, with insights visualized through Power BI, helping the client quickly adjust strategies to changing market conditions. Full-Stack Web and API Automation Feb 2022 - Aug 2022 Developed a full-stack web application that leverages the Google Places API to automatically gather data on local businesses based on geographic location. This system automates marketing campaigns by generating customized outreach strategies, using collected data such as contact details, ratings, and business categories. The platform integrates API-driven data collection with automated content generation and scheduling, allowing businesses to engage with local markets more efficiently and with minimal manual intervention. Core Skills
Design Optimization, 3D Modeling, SolidWorks, Simulation, Stress Analysis, PyAnsys, ROS, Python, Pandas, NumPy, Machine Learning, TensorFlow, PyTorch, Computer Vision, CNN, RNN, LSTM, NLP, Fine Tuning, Hugging Face, LLM, NLTK, SpaCy, Data Engineering, ETL, Airflow, Git, GitHub, CI/CD Pipelines, Docker, Kubernetes, Linux, Ubuntu, Apache Spark, Databricks, Google Cloud Platform, GCP, Vertex AI, SQL, Advanced Statistics, SAS, Predictive Analysis, Data Validation, Data Quality Assurance, Supply Chain, Inventory Management, Data Visualization, Power BI, Matplotlib, Seaborn, Full-Stack Development, HTML, CSS, JavaScript, React.js, Django, API Development, WordPress, Figma, UI/UX, Problem-Solving, Team Collaboration, Leadership, Agile, Stakeholder Reporting Education
Certificates
Databases and SQL for Data Science with Python (with Honors) Data Analytics and Databases on AWS
Data Visualization with Python
Data Analysis with Python
Publications
Unity Management:
Bridging Personal and Professional Growth
In Unity Management, I present a groundbreaking approach to leadership and time management, blending modern methodologies with holistic principles. The book explores how aligning personal well-being with organizational goals fosters innovation, balance, and sustainable success, empowering individuals and teams to thrive in today’s dynamic work environments.
Personalized GPT Chatbot Feb 2024 - Jul 2024
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