Aashish J Email & Phone Number

• Professional qualified Data Scientist/Data Analyst with over 8+ years of experience in Data Science and Analytics including Artificial Intelligence/Deep Learning/Machine Learning, Data Mining and Statistical Analysis • Involved in the entire data science project life cycle and actively involved in all the phases including dataextraction, data cleaning, statistical modeling and data visualization with large data sets of structured and unstructured data, created ER diagrams and schema.• Experienced with machine learning algorithm such as logistic regression, random forest, XGboost, KNN, SVM, neural network, linear regression, lasso regression and k-means• Implemented Bagging and Boosting to enhance the model performance. • Strong skills in statistical methodologies such as A/B test, experiment design, hypothesis test, ANOVA• Extensively worked on Python 3.5/2.7 (Numpy, Pandas, Matplotlib, NLTK and Scikit-learn) • Experience in implementing data analysis with various analytic tools, such as Anaconda 4.0JupiterNotebook 4.X, R 3.0 (ggplot2, Caret, dplyr) and Excel[…] • Solid ability to write and optimize diverse SQL queries, working knowledge of RDBMS like SQLServer2008, NoSql databases like MongoDB3.2• Developed API libraries and coded business logic using C#, XML and designed web pages using .NET framework, C#, Python, Django, HTML, AJAX• Strong experience for over 5 years in Image Recognition and BigData technologies like Spark 1.6, Sparksql, pySpark, Hadoop 2.X, HDFS, Hive 1.X• Experience in visualization tools like, Tableau9.X, 10.X for creating dashboards • Excellent understanding Agile and Scrum development methodology • Used the version control tools like Git 2.X and build tools like Apache Maven/Ant• Passionate about gleaning insightful information from massive data assets and developing a culture of sound, data-driven decision making• Ability to maintain a fun, casual, professional and productive team atmosphere• Experienced the full software life cycle in SDLC, Agile, DevOps and Scrum methodologies including creating requirements, test plans. • Skilled in Advanced Regression Modeling, Correlation, Multivariate Analysis, Model Building, Business Intelligence tools and application of Statistical Concepts. • Proficient in Predictive Modeling, Data Mining Methods, Factor Analysis, ANOVA, Hypotheticaltesting, normal distribution and other advanced statistical and econometric techniques.

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  Visvesvaraya Technological University

  Computer Science