Gaurav Goyal

Senior Data Scientist | Data Analyst | R | Python Programmer

Indore, India

Summary

Over the past 5+ years I have been working on data science and analytics platforms and involved in programming, analyzing and deployment of different algorithms and models targeted for different industries. I am very versatile, intuitive and result-oriented data scientist with expertise in developing machine learning algorithms on statistical data.

My area of expertise is machine learning, data analytics, data science and Artificial Intelligence platform development.

My core competencies includes Machine Learning, Deep Learning, Bayesian Models, Advanced Predictive & Prescriptive Analytics, Applied Mathematics, and Computational Intelligence, Social Media Analytics, Text Mining ,Convolutional Neural Network, Artificial General Intelligence.

Language: R, Matlab, Octave, Python, JavaScript;
Technologies: Tableau, AWS
Big Data: Hadoop, Kafka, Spark, MLlib, Caffe

Languages:

English

Favorite Python Packages:

Requests Scrapy wxPython Pillow SQLAlchemy BeautifulSoup Twisted NumPy SciPy matplotlib Pygame Pyglet pyQT pyGtk Scapy pywin32 nltk nose SymPy IPython

Experience

I have substantial hands-on analytical experience with very large datasets of text, images and social media and industry specific data. My work includes abstracting and quantifying the computational aspects of the problems, designing and applying new statistical algorithms, as well as systems-level software design and implementation in different platforms e.g. R, Python, PySpark, SparkR, Spark, Java, Octave, Matlab.

I have also gain expertise in applying machine learning and statistical modeling techniques to solve business problems and strong hands-on in distilling vast amounts of data to meaningful discoveries at requisite depths and have ability to analyze most complex projects at various levels.

I have been also into building big data and data-intense applications and products using open source frameworks like Hadoop, Apache spark, Apache Kafka. Have a strong effective technical voice for team Extensive experience with a neural network library such as Caffe and Tensorflow with the experience of working in text understanding, classification, pattern recognition, recommendation systems, targeting systems and ranking systems using Python. My expertise in handling huge amount of data without compromising the data security gives my clients enough confidence to provide access to their data and allow developing models.

A deep understanding of Statistical Modeling, Multivariate Analysis, Big data analytics and Standard Procedures Highly efficient in Dimensionality Reduction methods such as PCA (Principal component Analysis), Factor Analysis etc. I have implemented bootstrapping methods such as Random Forests (Classification), K-Means Clustering, KNN (K-nearest neighbors), Naïve Bayes, LSA (Latenet Semantic Analysis), XGBOOST, SVM (Support vector Machines), Decision Tree, Linear and Logistic Regression Methods etc.

I have been also into building big data and data-intense applications and products using open source frameworks like Hadoop, Apache spark, Apache Kafka. Have a strong effective technical voice for team Extensive experience with a neural network library such as Caffe and Tensorflow with the experience of working in text understanding, classification, pattern recognition, recommendation systems, targeting systems and ranking systems using Python. My expertise in handling huge amount of data without compromising the data security gives my clients enough confidence to provide access to their data and allow developing models.

Skills

Amazon Web Services (AWS), Artificial Intelligence, Backend Development, Big Data, Data Science, DevOps, Fullstack Development, Git, Hadoop, JavaScript, Jenkins, Machine Learning, MongoDB, MySQL, Natural Language Processing, Spark, TensorFlow, Visualization, Web Development, Web Scraping, jQuery, wxPython