LIDA ELSA CHACKO
Navan
Summary
Insightful Data Analyst known for high productivity and efficiency in task completion. Specialized in data visualization, statistical analysis, and database management. Excel in problem-solving, communication, and teamwork to deliver actionable insights from complex datasets.
Overview
2
2
years of professional experience
1
1
Certification
Work History
Account Receivable Analyst
IKS Health
Mumbai
07.2021 - 06.2023
- Identifying trends and patterns in large datasets, like analysing accounts receivable data for overdue payments, payment behaviour, and cash flow forecasting
- Expertise in pivot tables, VLOOKUP, conditional formatting, and advanced formulas for reporting, analysis, and creating financial models
- Generating periodic reports to present findings on data trends, account aging, collections, and overdue balances, like financial insights generated by AR analysts
- Writing queries to extract and manipulate data from databases to analyse customer payment data, accounts aging, and sales records
- Creating dashboards and visualizations using tools like Power BI or Tableau to represent data trends, like AR reporting dashboards
Education
HDip - Data Analytics
National University of Ireland, Maynooth
09-2024
BSc - Information Technology
JVM Mehta College
Mumbai, India06-2021
Skills
- Data Analysis
- Data Visualization
- Power BI
- Tableau
- Python
- Data Cleaning
- Data Wrangling
- Microsoft Excel
- Microsoft office
- R
- SQL programming
- Problem-solving
- Communication
- Teamwork
Certification
- Microsoft Power BI Data Analyst, Currently Enrolled, 12/01/24
- Tableau, 02/01/24
- Python, 06/01/24
- SQL, 06/01/24
- Excel, 06/01/24
- Power BI, 06/01/24
Projects
Olympics 2024: SQL queries and analysis on Olympic data, including medals, GDP, and population. Sales Analysis Report: Created Power BI dashboard to visualize sales metrics across segments and regions. Netflix Dashboard: Built a dashboard in Tableau displaying key metrics like title count, genres, and ratings by content type.
Skillssummary
Proficient in Excel, Power BI, and Tableau for creating interactive dashboards and analysing datasets., Basic knowledge of Python (Pandas, Matplotlib) and SQL for data manipulation and querying., Experience in data wrangling and ensuring accuracy in datasets., Familiar with basic statistical techniques like mean, median, regression, and trend analysis., Strong problem-solving, communication, and teamwork abilities.
References
References available upon request.
Timeline
Account Receivable Analyst
IKS Health
07.2021 - 06.2023
HDip - Data Analytics
National University of Ireland, Maynooth
BSc - Information Technology
JVM Mehta College
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