- 👋 Hi There, I'm Christopher Alexander. You can call me Chris.
- 🔭 I’m currently working on: Structured and Unstructured data sciene problems.
- 🌱 I’m currently learning: Pursuing my Masters in Data Science at University of British Columbia
- 👯 I’m looking to collaborate on: Any complex data science problem.
- 🤔 I’m looking for help with: Audio, Video and Image Analytics.
- 💬 Ask me about: Any industry related Data science issues.
- 📫 How to reach me: LinkedIn
- 😄 Pronouns: he/him
- ⚡ Fun fact: Explains most situations in life with an example as simple as object A and B.
- Master of Data Science Candidate, Univeristy of British Columbia, Vancouver, Canada, 2021-2022
- Data scientist, Marlabs Innovations Pvt Ltd, India, 2019-2021
- Post graduate program in Big Data Analytics and optimization, INSOFE, India, 2018-2019
- B.E. Computer Science, CMR Institute of Technology, Visvesvaraya Technological University, Bangalore, India, 2014-2018
spotify-explorer-py | 2022 |Link
A Spotify exploration app for music enthusiasts. The app helps you discover interesting trends in Spotify music popularity across various features such as genres, danceability, loudness, etc. Developed and deployed using Heroku.airpyllution/rpyllution | 2021 |Python Link, R link
A Python/R package for visualizing or obtaining future, historic and current air pollution data using the OpenWeather API.Contraceptive Usage predictor | 2021 |LinkImage Segmentation for Covid 19 CT scans | 2021: Created a Proof of concept to identify Covid 19 patches in the lung CT scans using U-net architecture.Automated ML and Deep learning application | 2019 - 2021
Worked on an Automated ML product “Madvisor”, developed autoML feature of the product which provides insights given any dataset, integrated TensorFlow deep learning for structured datasets in the product. Converted the whole code base from python 2 to python 3. Code base optimizations for performance and multicore usage.Suspicious Report prediction and salesPerson segmentation | 2019 |LinkCoronary Heart Disease Dataset | 2019 |
Successfully built and evaluated various ML models to predict how likely an individual going to severe from a coronary heart disease. The process involved acquiring domain knowledge, data analysis, data preprocessing, model building, and model selection based on evaluation metrics.Insurance Claim Dataset | 2019 |
Built and evaluated Random Forest Algorithm to predict the claim size of an insurer which is categorized into 3 levels.20 News Group Dataset | 2019 |
Successfully built and evaluated a ML model for text/Document classification using big data concepts Kafka, Structured Streaming and Spark ML.Safety Wearable Devices | 2018 |
Developed a safety wearable for senior citizens using IOT for monitoring various parameters with location of the elderly using a mobile application.
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Marlabs Innovations Private Limited | Bangalore | India | 2019 – 2021
- SDE 2 - Data Scientist
- Worked on Automated Machine Learning platform, Databricks, Proof of concepts for client procurement and Project management.
- SDE 2 - Data Scientist
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Netgear | Bangalore | India | 2018
- Graduate Trainee engineer (Intern)
- Worked on feature enhancements and maintenance of cloud-based networking switches and routers through REST and SOAP API’s
- Graduate Trainee engineer (Intern)
- Introduction to Cloud Computing on Amazon AWS | Udemy | 2021
- Python REST APIs with Flask, Docker, MongoDB, and AWS | Udemy | 2020
- Dev-ops Fundamentals CI/CD with AWS, Docker, Ansible, Jenkins | Udemy | 2020
- Completed Foundation Program of Infosys Campus Connect | Infosys | 2018