Skills
Programming Languages: Proficient in Python, R (Have multiple packages in CRAN), MATLAB and C++.
Machine Learning and Statistical Techniques: Supervised, Unsupervised, Neural Networks, Deep Learning, Regression, Clustering, Random Forests, Probabilistic Bayesian Networks, Markov Chain etc.
Bioinformatics Tools: NGS data processing and analysis using Tuxedo, Salmon, GATK, Trinity, Seg3D.
Deep Learning Tools: TensorFlow, Keras, Scikit-Learn.
Databases & Big Data Tools: MySQL, NoSQL, Hadoop, Spark.
Cloud Computing: Amazon Web Service (AWS), High Performance Computing (HPC).
Industry Software Skills: UNIX/LINUX, CADENCE EDA tools, AVR studio, MS office, LATEX.