Jolin Ann Vashni Thiagarajan

Hardworking and passionate job seeker with strong detail-oriented and results-driven data professional with expertise in data collection, cleaning, analysis, visualization, and quality assurance. Committed to leveraging analytical skills and advanced tools to derive actionable insights and support data-driven decision-making processes skills eager to secure entry-level Data Scientist/ Data Analyst position.

President - Mathematics association 

University of Madras - Women's Christian College , Chennai , India

Managed the team, organized and conducted various events, meetings and planned budgets during the respective year.

Short & Long term Memory - A controlled experiment on monkeys | R, nlme, tidyverse December 2023

• Cleaned the data and provided summary statistics by Week and Treatment variables.
• Mean plots were created to look for differences in recent versus remote memory and a significant difference was noted in the recent memory
• Correlation structures were used to assess errors over time, and the AIC metric was used to choose the best correlation structure.
• Using Bonferonni p-value adjustment, provided estimates for each week between control and treatment to look for differences and plotted them.

Expanding customer base for a newly introduced travel package | Excel, R November 2023

• Collaborated with three to predict customer preferences for a new travel package, target specific groups for promotion, and provide marketing recommendations.
• Cleaned the data, provided descriptive statistics and data visualizations to look for relevant insights.
• Selected relevant variables based on our project objectives and regression analysis methods.
• Chose the best regression model using AIC metric, incorporated multiple predictors to predict outcomes and checked significance.
• Interpreted variables and coefficients.
• Insightful recommendations aimed at boosting sales and promoting the adoption of the new travel package were provided.

Forecasted New Delhi's weather using a sample data | R, tswge, ggplot October 2023

• Performed exploratory data analysis on the provided data, it was found that the data did not pass the stationarity test.
• Performed transformations, seasonal decompositions and differencing to achieve stationarity.
• Modeled the differenced data using time series models ARMA and ARUMA and chose the best model using moving window MSE metric.
• Forecasted both the ARMA and ARUMA model to look for the better forecasting model.
• Examined model behavior, simulated realizations and developed an optimal model.

Analysing various cars & their selling prices | R, dplyr, ggplot March 2023

• Cleaned the data, performed exploratory data analysis and used backward elimination to remove variables.
• Build relevant models using log transformations, interactions , checked regression assumptions and chose the optimal model using R-squared metric and AIC.

Predicting airline passenger satisfaction | R, dplyr, ggplot April 2023

• Cleaned the data, performed exploratory data analysis.
• Build multiple classification models and a logistic model, chose the best using PPV,NPV and AUROC.