Having diversified skill set and expertise in the field of IT, software, business analytics, data analytics ,data visualization, big data, machine learning, engineering and statistics, I intend to become a part of dynamic organization to acquire an efficient experience where I can work on achieving organizational goals along with the enhancement of my skills.
Technical Skills:
Programming languages: Python, R, SQL, C++, MATLAB, Octave
Analysis tools: R Studio, TensorFlow, Tableau, Advanced Excel
Statistical Techniques: Probability Distributions, Basic Inference Methods, Linear Models, Nonparametric Statistics, Optimization and Simulation Experiments, Regression, Correlation, Hypothesis Testing, Analysis of Variance, Distribution, A/B Testing, DOE, RSM, Regression, ANOVA, Resampling, GLM, Time Series-ARIMA, LTSM, Transfer function
Hadoop: Apache Hadoop architecture & HDFC (Flume, Sqoop, Hive), Map reduce Programming, YARN, Spark Programming & Data frames, Spark SQL
Machine Learning Algorithms: Linear & Logistic Regression, Rule-based decision tree and Random Forests, Model fitting, model selection, Bayesian regression, classification, clustering, Naive Bayes and Discriminant Analysis, k-Means, EM, SVM, Hierarchical clustering, Neural Networks, k-fold cross validation technique, Deep Learning(TensorFlow, Keras), NLP, Computer vision, ASR, KNN, data mining, ID3 algorithm and C5 decision tree for classification and prediction, Association Analysis and Dimension Reduction Techniques, CNN, RNN, GAN, several machine learning/deep learning libraries.
Data Modeling & Data warehousing: SSIS
Operating System: Windows, Linux, MAC.
Git: GitHub, Git.
Thank you for viewing the profile. Feel free to contact me at:
shahrukh.big.data.24@gmail.com
Github: https://github.com/shahrukh-ak