Rodrick Mascarenhas

I am passionate about solving complex problems and developing intuitive solutions. I present my ideas and information in well documented reports using updated business technologies.

• 4 years of Information Technology experience working in Business Administration, Database Software, Regression/Classification Tools, Predictive Modelling, Analytics role with a focus on data mining, modeling and forecasting techniques
• Develop and deliver data reporting and analysis, validation and testing using various BI tools
• Integrate regular and ad-hoc reports using Microsoft SQL Server and Power BI
• Document system controls, process standardization, database documentation and training materials
• Maintain and improve existing data, reports and apps developed in-house (SQL, VBA)
• Translated technical specifications into clear non-technical user requirements 
• Expert in Microsoft Server, Microsoft SQL Server (T-SQL), Microsoft SQL Reports Services, and Power BI
• Knowledge of data migration, database design, assess business needs and provide relevant solutions
• Develop excellent analytical skills using tools such as SQL, R, Tableau and Excel to conduct rigorous and insightful analysis on large and complex datasets
• Experience in translating business to technical requirements, hypothesis testing, machine learning data models and justification to provide analytical support and generate tabular reports using R and Python
• Ability to apply statistical modeling on large complex datasets such as distributions, statistical testing, regression, etc.
• Working on python statistics packages like NumPy, Pandas, SciPy, Pytorch, Seaborn, Matplotlib, TensorFlow & Scikit-learn
• R packages (ggplot2, dplyr, data.table, shiny, xgboost, caret, RandomForest) to perform ETL tasks, such as data cleansing, validation, aggregation and integration

Douglas College, New Westminster, Computer and Information Systems                                                   01/2021 – 12/2022

N M A M Institute of Tech, India, B.Tech Computer Science                                                                           08/2013 – 07/2017