Deepak Karkala
6+ years experience in Machine Learning and Data Analytics (Python, SQL, PyTorch, Scikit-Learn, Spark, Docker, FastAPI, AWS). Masters degree from EPFL Switzerland with focus on Machine learning and Data Science.
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Machine Learning, Data Science Projects

Image segmentation using Deep Learning for e-commerce applications

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.

Predictive Price Modeling for Airbnb listings

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.

Recommender system using Matrix Factorization

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.

Data Visualisation, Storytelling Projects

Data Journalism Projects

Coronavirus in India: Maps, Daily Tracker, Tracing the outbreak, State and District wise analysis, India vs Other countries and more

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.

About me

  • After graduating in Electronics and Communication Engineering from RV College of Engineering, I worked as a Junior Research Fellow at Indian Institute of Science Bangalore, and worked on developing efficient algorithms for image reconstruction in Diffuse Optical Tomography.
  • I then joined Signalchip Innovations, 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.
About me

Contact me

You can send me an email at dkarkala01@gmail.com

You can also contact me on twitter at @deepak_karkala

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