Detail-oriented Data Analyst with 2 years of experience in the telecom industry, specializing in extracting actionable insights from large datasets to improve decision-making and optimize customer satisfaction. Proficient in statistical analysis, data visualization, and utilizing analytical tools to drive business growth. Adept at collaborating with cross-functional teams to streamline operations and enhance the customer experience.
Overview
2024
2024
years of professional experience
5
5
years of post-secondary education
Work History
Data analyst
Verizon
8 2022 - 10.2023
Company Overview: Telecom Customer Churn Analysis
Analyzed large datasets on network performance, customer satisfaction, and usage patterns to identify trends and provide actionable insights to improve service offerings
Developed customer churn prediction models using logistic regression and classification algorithms, contributing to a 15% decrease in churn rate over 12 months
Conducted billing analysis to identify discrepancies, optimize pricing strategies, and enhance revenue collection processes
Built and maintained Power BI dashboards for key stakeholders, allowing real-time tracking of network performance, customer behavior, and support response times
Improved data processing workflows, reducing data extraction and reporting time by 20%
Telecom Customer Churn Analysis
Data analyst
Allegis Services (India) Private Limited
01.2021 - 03.2022
Company Overview: Trade Finance Analytics Project in Power BI
Developed an interactive Trade Finance Dashboard in Power BI to monitor key trade metrics such as transaction volume, letters of credit usage, and payment term compliance
Analyzed trade finance data from multiple sources, including SQL databases, Excel sheets, and financial transaction logs, and transformed it using Power Query
Created custom DAX calculations to track risk exposure, payment delays, and trade flow trends over time
Implemented ETL processes to automate data extraction, transformation, and loading from transactional systems to Power BI for real-time analytics
Designed time-series analysis for monthly and quarterly trade volume, identifying seasonal trends and anomalies in transaction patterns
Utilized geographic heatmaps to display trade exposure by country, allowing the finance team to assess international trade risks and adjust credit limits accordingly
Improved reporting efficiency by 30%, reducing manual data extraction and presentation tasks through the use of automated dashboards and scheduled refreshes in Power BI
Collaborated with trade finance teams to identify KPIs and design custom dashboards for monitoring compliance, risk, and financial performance across different regions
Trade Finance Analytics Project in Power BI
Education
MBA - Finance
Rajalakshmi Engineering College
09.2011 - 05.2013
Bachelor of Computer Applications (BCA) - undefined
Indo-American College
07.2007 - 05.2010
Skills
Python
Skills
Python, SQL & NoSQL Databases (MySQL, Microsoft SQL Server, PostgreSQL), Data Analysis, Data Visualization
Timeline
Data analyst - Allegis Services (India) Private Limited
01.2021 - 03.2022
Rajalakshmi Engineering College - MBA, Finance
09.2011 - 05.2013
Indo-American College - Bachelor of Computer Applications (BCA),