Description
- I am a Data Analyst/ Data Scientist/ Business Analyst with a good understanding of statistics and coding logic.
- 3 Years of experience in Python.
- Primary Skill: Python.
- Secondary Skills: Database, Django, Flask, Rest API, C++, HTML, Keras, TensorFlow, Pandas, NumPy, Scikit-learn, MySQL, Flask, Statistics, Machine Learning, Regression Analysis, Algorithms, Excel, Azure, Docker, Kubernetes.
- Responsible for gathering data requirements for the project and developed automated workflow to Quality Check and analyze huge image data and its respective annotations.
- Developed Image Stitching library using Image processing, with help of OpenCV and python. The library can stitch multiple images dynamically.
- Implemented Multiple object detection models using YOLO V3 & YOLO V5 on retail shelf images to detect SKUs of various brands with 96% accuracy. Trained the model with mAP metrics and deployed it.
- Assisted the team in developing KPI for the project, which involved advanced analytics and geometric manipulations of the SKUs detected and made optimizations like parallelism to the codes.
- Developed Ad-Hoc python automation scripts, which helped in reducing manual efforts greatly in documenting and distributing image data.
- Orchestrated and created an end-to-end pipeline on Azure Data factory which includes receiving triggers from app triggering image stitching, object detection and KPI calculations, and sending the scores back to the app.
