About Me
"Engineering solutions. Analyzing impact."
I'm Naman Shrimali, a Software Engineer and Data Analyst with a bachelor's degree in computer science (Data Science) from Uttarakhand Technical University.
I specialize in developing full-stack web applications using technologies like Django, building scalable backends, and designing intuitive user experiences. I’m equally passionate about transforming raw data into actionable insights through data visualization, machine learning, and business intelligence tools.
My projects often blend web development with data science, such as deploying dashboards, working with real-time data pipelines, or using ML models to power intelligent features.
Lately, I’ve been working on areas like Computer Vision and Natural Language Processing, using tools like YOLO, OpenCV, and TensorFlow.
Here are a few technologies I've been working with recently:
- Python
- R
- Django
- PySpark
- TensorFlow
- OpenCV
- YOLO
- Jupyter Notebooks
- Git
-
Docker
- Apache Kafka
- Power BI
- Advanced Excel
- Redis
- MySQL
- PostgreSQL
Somethings I've Developed
Ideas Turning to Reality.
Shopstream
Built a real-time recommendation system using Kafka, PySpark, and TensorFlow, enabling personalized user experiences and increasing engagement by 20%. Processed over 1M transactions via Apache Spark to train models, improving recommendation accuracy by 15% and boosting sales by 8%. Leveraged Power BI for monitoring system performance, achieving a 10% uplift in CTR and a 12% increase in conversion rates.
Cyber Zoo
Developed an AI-powered Cyber-Physical Animal Tamer System using CNN, OpenCV, and YOLO, significantly reducing human-wildlife conflicts (up to 60%) and protecting 10,000+ acres of wildlife. Leveraged machine learning to enhance detection accuracy by 35% and halve response times, showcasing robust integration of computer vision and real-time monitoring systems.
FormXpress
Engineered a high-performance form handling system using Django and Redis, cutting database queries by 60% and improving response time by 40%. Containerized the app with Docker and Docker Compose, reducing deployment time by 50%. Built efficient REST APIs for form submissions and enabled real-time dynamic field updates, boosting user experience and reducing manual work by 70%
Airlytic
Utilized Advanced SQL to analyze flight operations and performance data, addressing 20 key business questions. Delivered insights that reduced delays by 15% and improved on-time performance by 20%. Optimized complex queries to generate actionable insights, resulting in a 10% boost in customer satisfaction and a 12% gain in overall business efficiency.
EcoViz
Developed an interactive emissions dashboard using Panel and HvPlot, improving user engagement by 35% and reducing navigation time by 25%. Delivered responsive, data-rich visualizations that enhanced accessibility and drove a 40% increase in actionable insights for environmental analysis.
What's next?​
Get in touch
I am currently seeking for the job, and my inbox is always open. Whether you have a question or just want to say hi, I'll try my best to get back to you!