Nitin Patel
Cybersecurity Specialist (Reporting, Data & Analytics) @Air Canada
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WORK HISTORY
Cybersecurity Specialist (Reporting, Data & Analytics) @Air Canada
Toronto, ON, CA
EDUCATION
The Maharaja Sayajirao University of Baroda
Bachelor of Science (B.Sc.), Mathematics and Statistics
Aptech Computer Education
Diploma in Computer Programming and Application (DCPA), Programming
Ryerson University
Certificate, Data Analytics, Big Data & Predictive Analytics
SKILLS
ABOUT NITIN PATEL
A result-oriented “Data Analytics Specialist/Statistician” with over five years of comprehensive experience in research methodologies, project management and reporting, statistical analysis, programming, data management, data collection, data analytics, predictive modeling, and tabulation seeking a position in the area of business development, training, cybersecurity governance, risk, and compliance, fraud and loyalty, awareness, and marketing research.Technical Skills • Database Systems: SAS, SQL, MySQL, SQLite, SQLSolutions, MongoDB• Language: R, Regular Expression, HTML, CATI, CSS, XML, JavaScript, SPSS, etc.• Data Analytics Tools: Hadoop, Hadoop MapReduce, HBase, Hive, Pig, Spark, etc.• Machine Learning Software: IBM Watson, Weka, R• Software Package: PSTAT, SSI WEB, CCEA, MS OFFICE, WinCross, SABA, OPS-BI, Archer GRC• Programming tools: Confirmit, Survey Monkey, SurveyGizmo, etc.• Visualization System: Tableau, PowerBI• O/S: Windows, Linux Ubuntu, Unix• Additional Analytics Tools: ggplot2, Hortonworks, GraphLab• Additional software, package, and languages: Foxbase, Dbase, Cobol, Fortran, Epi-Info-6.04d & basic knowledge of Minitab, TAB, Dt-Search, Gofer, Anthropac, Ethnograph, etc.• Skills: Parallel Programming and Distributed Systems; Time Regression AnalysisPredictive, Big Data Analytics, and Machine learning • Experience in classification methods: Logistic Regression, Decision Trees, K-NN, SVM, Random Forest, Naïve Bayes, Neural Network, K-Means Cluster• Regression methods (e.g. Linear, Non-linear, Boosted Regression Trees), Correlation (driver analysis), Multivariate analysis, Principal component analysis (PCA), Factor analysis, Cluster analysis, and Segmentation.• Statistical Analysis (e.g, Hypothesis Testing, Experiment Design, Hierarchical Modeling, Bayesian Inference) • Data collection, Data processing (ETL), Multivariate analysis, Optimal scaling, IAT (Implicit Association Test)• TURF analysis, MaxDiff analysis, Conjoint analysis, Discriminant analysis, Pricing analysis
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