Keyah Taneja

Toronto,ON

Summary

Data analyst with expertise in R, Tableau, and SQL, specializing in advanced data analysis, predictive modeling, and data visualization. Adept at optimizing processes, uncovering insights, and driving data-driven decision-making. Experienced in transforming complex datasets into actionable insights for diverse stakeholders and improving operational efficiency. Proven track record of automating workflows and enhancing reporting accuracy.

Overview

year of professional experience

Work History

Data Analyst Intern

Insight Analytics

05.2024 - 12.2024

Analyzed customer behavior data, delivering recommendations that improved campaign targeting efficiency by 20% within 6 months.
Developed and implemented monthly Tableau dashboards to monitor KPIs, accelerating stakeholder decision-making by 25% within 4 months.

Market Research Assistant

Airtel India

11.2023 - 05.2024

Analyzed product development using mapping and benchmarking, identifying cost-saving opportunities that reduced expenses by 15% in 6 months.
Implemented process optimizations that reduced operational time by 20% and increased customer satisfaction by 10% within 6 months.

Education

BSc. - Psychology

University of Toronto

Scarborough, Canada

12.2024

Skills

R Studio
Tableau
SQL

Advanced MS Excel
Predictive Modelling

Projects

Bellabeat Fitness Device (Code)

Packages: R Studio, dplyr, plotly, lubridate, UpSetR

Conducted exploratory data analysis on Fitbit datasets using R, cleaning and merging multi-source data to identify user activity trends, segment engagement levels, and provide actionable insights for Bellabeat's marketing strategy, leveraging advanced visualization and statistical correlation techniques

Heart Disease (Code)

Packages: R Studio, ggplot2, Hmisc, tidyverse, car

Conducted comprehensive exploratory data analysis to build a logistic regression model using Python and R to predict heart disease outcomes, achieving 91.7% AUC and 85.7% accuracy; applied feature engineering, statistical evaluation, and visualization techniques to refine predictors and provide actionable insights for cardiovascular risk stratification.

Amazon Sales Dashboard (Link)

Utilized Tableau to analyze 116,649 shipment records, identifying key trends in sales channels, shipping statuses, and regional performance; translated data insights into actionable strategies that enhanced decision-making and operational efficiency.

Covid-19 Dashboard (Link)

Designed an interactive Tableau dashboard analyzing COVID-19 data across states, highlighting vaccination progress, case trends, and demographic insights to support informed decision-making.

Timeline