Aleena Batool

Statistician with 4 years of experience. Experienced with all the fields of statistics for data analysis projects. Familiar with the numerous programming languages and statistical software including SPSS, R, AMOS, Python, and MATLAB. Strong background in project management of data sciences. Looking for a position where I can use my knowledge and skill in a challenging and congenial environment.

Development of Hybrid Model   for Predicting Continuous Endogenous Variables in PLS-SEM using Machine   Learning Algorithm (Paper Published)

● Developed a hybrid model integrating Partial Least Squares Structural Equation Modeling (PLS-SEM) with machine learning algorithms to predict continuous endogenous variables by using 10 different Datasets.

● Leveraged advanced machine learning techniques to enhance the accuracy and robustness of predictions in complex models. Make Hybrid Models with ANN (Artificial Neural Network) and SVR (Support Vector Regression)

● Implemented model optimization strategies to improve performance and generalizability across   diverse datasets.

● Conducted extensive validation to ensure model reliability and effectiveness in real-world applications.

Bayesian inference and ranking of factors affecting student academic performance using method of paired comparison that consist on eight factors among the University of Gujrat students & Zamindar college Gujrat (Paper Published)

● Developed a Bayesian framework to estimate the probability distributions of factors' impacts on academic outcomes.

● Applied paired comparison methods to systematically evaluate and rank the significance of various factors affecting student performance.

● Enhanced model accuracy by incorporating prior knowledge and empirical data, leading to more reliable rankings and insights.

● Validated results through rigorous testing and sensitivity analysis to ensure robustness and applicability in educational settings.

Time series Analysis (Secondary data taken from internet)

● Conducted time series analysis on secondary data sourced from the internet to identify trends, seasonal patterns and anomalies.

● Utilized statistical techniques such as ARIMA and exponential smoothing to forecast future data points and derive actionable insights.

● Implemented data cleaning and preprocessing steps to ensure accuracy and reliability of the analysis.

● Presented findings through visualizations and reports, providing valuable insights for strategic decision-making.

Quality control Project (Service Group of Industries)

● Led a quality control project for the Service Group of Industries, focusing on enhancing product quality and process efficiency.

● Implemented statistical quality control methods and conducted thorough inspections to identify and address defects.

● Developed and monitored key performance indicators (KPIs) to track quality improvements and ensure compliance with industry standards.

● Collaborated with cross-functional teams to optimize processes and drive continuous improvement initiatives.

Regression Analysis (Secondary data taken from internet)

● Performed regression analysis on secondary data obtained from online sources to model relationships between variables and predict outcomes.

● Applied techniques such as linear and multiple regression to identify key predictors and quantify their impact on the dependent variable.

● Interpreted results and presented findings through visualizations and reports to support data-driven decision-making.

Applied Multivariate data Analysis (Secondary data taken from internet)

● Conducted multivariate data analysis on secondary data from online sources to explore complex relationships between   multiple variables.

● Utilized techniques such as Principal Component Analysis (PCA) and Cluster Analysis to uncover patterns and groupings within   the data.

● Interpreted and visualized results to provide actionable insights and support strategic decision-making.

● Multi-tasking

● Team Player

● Flexible

● Motivated

● Time Management

● Problem Solving