About Me
I have over 9.5+ years of experience in Software Design, Development & Maintenance of Web Based Applications; worked on Healthcare, Insurance, E-commerce and Learning Management System domains.I have been working since last 4 + years as Data Scientist. I am always willing to learn and implement new technologies and technology stacks.
My Expertise
MACHINE LEARNING/PREDICTIVE ANALYTICS SKILLS FAMILIAR & WORKING WITH
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Programming: Python, R, SAS Basic & Macro,Core Java
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Supervised ML Algorithms: Decision Tree Based Algorithms (CaRT) and ensembles (bagging, boosting, Adaboost, xgboost, RandomForest), Support Vector Machines, Naïve Bayes Classifer, k-NN, Logistic Regression
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Unsupervised ML Algorithms: k-means/Hierarchical/DBSCAN clustering, Market Basket Analysis
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Time Series Forecasting: ARIMA Methodology, EWMA
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Deep Learning : TensorFlow, TFLearn, Keras, PyTorch
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Big Data Frameworks: Hadoop, Apache Spark
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RDBMS: Oracle, MS SQL Server
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NOSQL: MongoDB
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Statistics: Statistical Distributions, Parametric/non-Parametric Hypothesis Tests
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Visualization: Python - seaborn , MatplotLib,R- ggplot2, RShiny , Tableau
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Data Filtering and Pre-processing: Dimensionality Reduction Algorithms PCA
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Recommender Systems: Content-based, Collaborative (Item-Item, User-User)
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Natural Language Processing: Supervised/Unsupervised Text Sentiment Analysis, Analysis of Document-Term Matrix – TfIDF, Topic Modeling (Latent Dirichlet Allocation), Word Embedding Algorithms (Word2Vec), gensim
My Certifications
Pursued from SP Jain School of Global Management, Mumbai in year 2016/17.
CGP : 9.3 / 10
The MapR Certified Spark Developer credential is designed for Engineers, Programmers, and Developers who prepare and process large amounts of data using Spark. The certification tests your ability to use Spark in a production environment; where coding knowledge is tested, we lean toward the use of Scala for our code samples.
