A Machine Learning Professional with 11+ years of experience taking active roles of technology evangelist in areas such as Machine Learning, Artificial Intelligence, Predictive Analytics, Statistics, Data Mining and Big Data with a proven track record of implementing large scale algorithms that have business revenues and user experiences. Passionate about creating products, by identifying business needs, using applied Data Science and AI. Proven ability to identify and solve complex ML problems, including use case identification and data architecture design while meeting and exceeding schedule and performance targets. Experience in training and assimilating upcoming data scientists.
Ranked among top 1 percentile of data scientists across the world at Kaggle.
Skill Sets
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General:
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Data Science,Statistical Analysis,Software Engineering,Big Data Analytics,Data Management, Product Management,Customer Collaboration,R&D,Technology Architect,Solution Designer, Product Lead,
Data Science:
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Expertise : Machine Learning,Artificial Intelligence,Predictive Analytics,Pattern Mining,Exploratory Data Analysis, Data Mining,Data Preprocessing,Feature Selection,Feature Engineering,Optimization Techniques, Model Ensemble Techniques,Anomaly Detection Techniques,Data Visualization,Text Mining,Social Network Analysis,Time Series Forecasting,Natural Language Processing,Sentiment Analysis, Business Intelligence,Data Warehousing,Big Data Analytics,A/B & Hypothesis Testing ,Multi-Variate Analysis,Dimensionality Reduction Algorithms,Association Mining,Correlation Analysis.
Algorithms : Generalized Linear Models,Decision Tree,KNN,Random Forest,SVM,GBM,XGBoost, K- Means/Medoids Clustering,Hierarchial Clustering,LDA,PCA,T-sne,KNN,Naïve Bayes,Neural Networks,Deep Learning,Seasonal Hybrid ESD,Recommendation Engine
Software: R, Python, SQL, HiveQL, UNIX, Tableau, Xcelsius, Scala.
Big Data: Hadoop, Apache Spark, Pig, Hive, HBase, Scala