Guruprasaad Durairaj
Having worked as a full stack developer in a startup, I started believing in passion fueled by skill. I am an enthusiastic team player looking for opportunities in Deep learning & AI fields, available to join immediately.
Deep Learning Developer • Chennai, IN • [email protected] • 9442680528
Education
Electronics and Communication Engineering • Karpagam College of Engineering • 2014 - 2018
Skills
Deep Learning
Time-series analysis , Financial stocks price prediction , Sentiment analysis ,Genetic programming ,openCV Image Manipulation , tensorflow , keras ,Neural Networks , CNN , RNN ,LSTM , Word2vec
Python
Fundamentals like Functional Programming , Decoraters . Experienced on Numpy , Maplotlib , Flask
Statictics
Naive Bayes , Monto carlo approaches,
R - GLM, GLMNET, NLS, SUR, MLE.
React.js
Developing , Debugging , Experienced on ES6 , Recent advances like Refs etc.
Node.js
Worked on Express.js , Nodemailer api , Google-puppeteer for datascraping.
C++
Generic programming , Functional Programming
Work Experience
Web Development , Dec 2017 - Jan 2018
- Successfully Developed and hosted the site
Web Development , Feb 2018 - March 2018
- Successfully Developed the site using React , React-router
- Created mailapi for the site using Nodemailer &Hosted on firebase successfully
Fullstack Developer (Elspectra) , April 2018
- Worked on GoogleAppEngine in python for adding custom search (Readmore)
- Experienced on Firebase Hosting & Debuging React.js Apps
Neural Networks , Jan 2018
- Built Neural networks from scratch in python and applied stochastic gradient to the network , Thus minimised the loss
Machine Learning , Feb 2019
- Datamining using pandas , numpy
- Visualization using matplotlib
- Gained more insights on how to optimise the model to better fit the data or change the hyperparameters
- Done projects on sentiment-analysis on realtime datasets
- Understood workflow of popular ML libaries of scikit-learn , keras , tensorflow
Deep Learning , Jan 2019 - Mar 2019
- Worked on CNNs - DeepDreaming using tensorflow
- Opensource Computer Vision
- Word2vec
- LSTM , RNNS
Courses
Introduction to Probability - The Science of Uncertainty
by EDX
