2+ years experience in Machine Learning and Data Analytics (Python, SQL, Tensorflow, Scikit-Learn, Spark, Docker, FLASK, AWS). Masters degree from EPFL Switzerland with focus on Machine learning and Data Science. Currently looking for full time, contract or freelancing based position as Machine Learning Engineer, Data Scientist, Data-Visualisation Engineer or similar roles
The project aimed at using image segmentation for products on e-commerce websites. It involved creating dataset by scraping product images, using transfer learning to fine-tune the deep learning model to perform segmentation of products from images.
The project aimed at predicting the price of an Airbnb listing given a number of features. The project involved exploratory data analysis, data pre-processing, feature selection, Model Fitting, Model Comparison and deploying the containerised Webapp on AWS.
Object and Relationship detection for Scene understanding using Deep Learning
The project aimed to interpret the scene using deep learning algorithms. It involved detecting and localising the objects, determining the relations between objects in the image by training Convolutional Neural Networks using the PyTorch framework.
Tags: Deep learning for Computer Vision, Object and Relationship Detectors
The project aimed to predict the missing entries in the data matrix. An ensemble model was developed by combining Matrix factorisation model (ALS, CCD) with the nearest neighbor model and the results were compared with the baseline methods.
An interactive exploratory tool for detailed analysis of the coronavirus situation in India. Lets user explore how well are the states flattening their curves, the top district wise hotspots, daily district wise growth rate of cases, district wise case density, testing and recovery rates of states, districts free of virus and more.
Tags: Scraping twitter data, Word cloud, Hierarchical edge bundling
After graduating in Electronics and Communication Engineering, I worked as a Junior Research Fellow at IISc, Bangalore and worked on developing efficient algorithms for image reconstruction in Diffuse Optical Tomography. I then joined a semiconductor startup in Bangalore, where I worked on signal processing algorithms for wireless communication (WCDMA, LTE). In 2018, I completed Masters from EPFL Switzerland with a focus on Machine Learning and Data Science. For my thesis project, I worked on data analytics and anomaly detection in IoT sensor data. I then worked remotely as a Data Engineer for eSMART Technologies, a Swiss company in home automation and building management. Currently looking for full time, contract or freelancing based position as Machine Learning Engineer, Data Scientist, Data-Visualisation Engineer or similar roles.