Position: Data Scientist
Category: Data Science
English level: fluent
Years of experience: 5

Successfully deployed DS/ML models
Modeling (supervised, unsupervised), visualization (dashboards)
Mainly used Python, R,C++ but can use JS, Java 
Tools(Git, GitLab, Sonarqube, Docker, Jupyterlab, Anaconda,AWS)
AWS Machine Learning Speciality Certification Candidate
• Professional qualified Data Scientist with experience in Data Science and Analytics including Machine Learning, Data Mining and Statistical Analysis
• Involved in the entire data science project life cycle and actively involved in all the phases including data extraction, data cleaning, statistical modeling and data visualization with large data sets of structured and unstructured data
• 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
• Experience in Deep Learning(CNN, RNN, DNN) with an understanding of RNN, LSTM
• Proficiency in a Neural Network library TensorFlow, Keras
• 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 4.0Jupiter
Notebook 4.X,R 3.0(ggplot2, Caret, dplyr) and Excel 2010/2013
• Strong experience in Big Data technologies like Spark 1.6, Sparksql, pySpark, Hive 1.X, AWS(S3,
Redshift, EC2)
• Solid ability to write and optimize diverse SQL queries, working knowledge of RDBMS like SQL Server
2008
• Experience in visualization tools like, Tableau 9.X, 10.X for creating dashboards
• Excellent understanding Agile and Scrum development methodology
• Used the version control tools like Git 2.X
• 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
Don’t want to work on data validation part (specifically excel validation) but can work on data schemas