Kuldeep Luvani

- Creating automated cryptocurrency trading system using machine learning and AI techniques. - Increase profit by 20% using correlative trading, news analysis and google trend analysis. - Working with bunch of Technical Indicators like SMA, FIBB retracement, momentum observer, sharpe ratio and others to analyse trend of the market and price prediction. - Working on forecasting and data mining techniques, such as linear and non-linear regression analysis, neural networks or support vector machines for trading signals to increase amount of profit and decrease the investment risk. - Working with large trading data set and developing statistical models for trading analysis and portfolio optimization. Tools and Technology : RNN, LSTM, Algorithmic Trading, Deep Boltzmann Machine, PCA, LDA, Redis Queue and Schedulers, Apache Kafka, SQLAlchemy, AWS, MySQL, PostgreSQL

I have created wearable gloves which help the user to type on any kind of surface without displaying keyboard layout on the surface. The user does not need to learn the way gloves work but these gloves learn a user's typing keystroke dynamics and behave accordingly. This project has many applications in virtual reality world as well as in the field of computer technology. Technologies used: HMM, Viterbi algorithm, Two edit distance, python

- Developed an advanced computational model to implement computer automation for dual x- ray image processing techniques, pattern classification and data mining to detect the nuclear substance in cargo containers. - Implemented K-mean clustering technique to demonstrate unsupervised classification technique with color based image segregation and canny edge detection techniques Technologies used: Python, Pattern recognition, Xray simulation, aRTist, Weka, Decision Tree, Naive bayes