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Associated with data for over 11 years now, initially as data Engineer and data analyst and in the last 4 years as data scientist. Experienced in the entire life cycle of a data science project starting from requirement gathering and problem ident...
Have implemented large scale commercial projects both on Cloud (AWS and Azure) and on premises.
Key skills include:
- Keras with tensorflow
- Sagemaker and Azure ML
- OpenCV for image processing
Have succesfully worked with Australian, German, Middle East and US clients in the past. Looking forward to work on challenging problems involving structured data or images/videos.
Data & Analytics
Large scale Image retrieval system
Led the implementation of face based image retrieval for several large Amusement parks and
water parks across Asia. Responsibilities in this role includes: 1. Design the architecture/server
specifications for the implementation of the solution both on premises and on cloud. 2. Decide
the right algorithm to be used for face detection and face embedding calculations keeping in mind
the accuracy and performance requirements. 3. Design a viable servicing strategy to ensure the
application can cater to multiple concurrent requests. First of the kind application to be
implemented on such a large scale is currently hosted on several major tourist attractions in
middle east and can retrieve the images of customers taken at the attraction based on their
Video Analytics for Retail Shops
Machine Learning Engineer
Implementation of Video Analytics for Retail stores in Middle east. Project involves tracking of Humans and the path followed by them inside the shop. Recognise Objects, humans and track them to obtain data which can be used to derive business insights.Show More Show Less
SkillsAWS Neural Networks Python
Data Veracity product
Assist in building a data veracity product which helps in figuring out the data quality issues.
Applied ML and Computer Vision to quantify the quality of data and recommends ways to
improve it. Experience of running ML algorithms in a cluster based setup Guide a team of 20 to
scale up in machine learning and deep learning Use CV and CNNs in several OCR and
Classification problems Working with Flask APIs to expose the data pipeline to front end UI.
Details of Projects handled: 1. Fraud Detection using machine learning for a major European
Telco. Skills Applied: Classification Algorithms,Handling imbalanced classes, cross validation
approaches and scores, Dask framework. 2. Anomaly detection on any structured data and
provide recommendations for incomplete and inconsistent records. Skills Applied: Unsupervised
Anomaly detection algorithms , per-processing approaches , SVM, Random forest, Light GBM,
XG Boost regression
SkillsOCR Algorithms Python Sklearn SQL Tesseract
Fraud Detection for a large telecom operator
Implement fraud detection for a large scale Telecommunication provider.
Implementation on highly imbalenced dataset
Achieved Hit rate of ~70%
Real time fraud detection solution
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SkillsAnomaly Detection Python Sklearn