To spearhead advanced analytics projects, I extract insights from complex datasets and leverage machine learning techniques. For the identification of new business opportunities, I develop predictive models while enhancing business processes in collaboration with cross-functional teams.To resolve complex business problems, I design, develop, and implement statistical models and machine learning algorithms via teamwork.My key accomplishments include:• Improved response strategies and communication efficiency via categorization and analysis of student emails based on keyword extraction algorithms using Python NLP libraries.• Optimized enrollment management by formulating strategic insights based on targeted predictive analytics.• Facilitated decision-making for resource allocation and refining admission processes.• Designed and maintained data models involving SSAS and Power BI to visualize prediction results across administrative units.• Streamlined operational activities by managing stakeholders, resolving problems, and maintaining liaison with cross-project teams.

As part of forecasting, I developed predictive models along with machine learning algorithms, which facilitated data classification and identification of predictive features. To develop predictive models and support ongoing data science initiatives, I extracted insights from complex datasets.To ensure accurate gathering and interpretation of research findings, I implemented statistical methods and techniques while testing hypotheses and validating research outcomes.My key accomplishments include:• Extracted, transformed, loaded, and utilized students’ data from multiple sources by establishing ETL processes.• Forecasted enrollment volumes for strategic enrollment management via projection methods across different stages of application funnel covering all demographics and campuses.• Enhanced support programs and educational outcomes by studying and determining factors impacting course completion among indigenous students through statistical analysis.• Improved performance output by training cross-functional business teams, including BI team on data science principles, techniques, and best practices.

As a Lab Instructor, I taught advanced computing concepts such as object-oriented programming and data structure implementation. I contributed towards enhancing students’ proficiency in machine learning and data science.I also encouraged students to independently carry out data management projects using respective tools, processes, and techniques.My key accomplishments include:• Enabled students to construct program flows with conditionals and iterations through coaching and guidance.• Designed and delivered a curriculum focused on problem-solving in programming, which facilitated students with organizing codes.• Coached students to evaluate performance and apply machine learning algorithms, including sorting and searching in real-world data scenarios.

To spearhead ongoing research projects, I gathered, analyzed, and interpreted data from multiple sources as well as implemented effective research techniques.For accurately developing statistical models along with algorithms and experimental designs, I supported team members while leveraging data-driven insights for informed decision-making.My key accomplishments include:• Expedited scientific research on statistical analyses of large datasets covering insurance, financial, climate index, and weather data.• Implemented Linear/Logistic Regression models, Random Forests, KNN, and Principle Component Analysis Using R and Python.• Developed predictive models on time series data via analysis of historical/current data for predicting future outcomes.• Managed model selection and validation via cross-sectional/k-fold validation and statistical significance tests.• Sped up research initiatives by delivering detailed data analysis, while cleaning, preprocessing, and transforming raw data into suitable formats.

• Taught various graduate and undergraduate-level courses relating to Statistics and Mathematics.• Led one-on-one tutorial sessions at the Student Success Centre and Global Learning Centre.

• Taught Time Series Analysis and Forecasting using R in a computer lab.• Designed surveys/projects for undergraduates and provided ongoing support.

• Created reports and dashboards using Excel by gathering, cleaning, and analyzing data.• Introduced a new high-order accurate machine-learning model for interpolating unstructured survey data.• Maintained data quality and integrity by implementing an effective approach for data preprocessing, cleaning, and validation.