Open to opportunities

ramya akella

@ramyaakella

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Analytics leader turning data into rental, customer, and KPI decisions with Power BI.

United Arab Emirates

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What I'm looking for

I’m looking to lead analytics that turn messy data into reliable dashboards and business decisions—partnering with stakeholders, improving data quality, and applying machine learning to surface opportunities and growth.

I’m an Analytics Project Leader with a track record of delivering data-driven insights for time-sensitive business decisions in Dubai. I hold an M.S. Data Science from Monash University (Merit Scholarship), with a strong foundation in Python, advanced data analysis, and data visualization.

At Caterpillar, I led rental analytics across EAME regions and helped drive utilization and rental outcomes through analytics-backed leadership decisions. I developed and maintained Power BI dashboards that consolidate customer and rental opportunity insights, while troubleshooting duplicate and aggregation logic to improve reporting accuracy for multiple stakeholders.

Previously, as a Data Analyst at Neostats Analytics, I translated business requirements into SQL extracts and Power BI dashboards for banking clients, and applied machine learning (decision trees) to segment customers into high-propensity groups. Earlier, I worked as a Business Analyst at OSE Industries and as a Research & Data Analyst Intern, combining data from multiple sources, wrangling and visualizing economic datasets with Python, and communicating findings through reports and charts.

Experience

Work history, roles, and key accomplishments

Current

Analytics Project Leader

Current

Caterpillar Inc

Feb 2024 - Present (2 years 2 months)

Led rental analytics for rental growth plans in EAME regions, enabling data-backed decisions on utilization and rental outcomes. Built and maintained Power BI dashboards, and resolved data quality/aggregation issues (e.g., duplicate records and logic mismatches) to improve reporting accuracy for multiple stakeholders.

Power BI Business Intelligence Data Visualization Data Quality Data Aggregation Dashboards

Data Analyst

Neostats Analytics

Aug 2022 - Feb 2024 (1 year 6 months)

Coordinated with banking clients to gather dashboard requirements and used SQL to extract required data within deadlines. Designed and presented Power BI dashboards, and applied decision-tree machine learning to segment top customers into high-propensity groups.

Power BI SQL Dashboarding Data Extraction Machine Learning Decision Trees Customer Segmentation

Business Analyst

OSE Industries L.L.C

Jun 2021 - Jun 2022 (1 year)

Supported strategic planning by cleaning production-generated datasets and developing reports tied to key organizational indicators. Combined data from multiple sources to produce reporting forwarded to the strategic planning director.

Data Cleaning KPI Analysis Data Integration Reporting Performance Analysis Strategic Planning Data Wrangling

Research & Data Analyst Intern

Algorithm Research

Mar 2021 - Jun 2021 (3 months)

Collected and wrangled economic indicator datasets (e.g., property sales, airport traffic, hotel occupancy) using Python (pandas) and prepared them for reporting. Visualized findings with Matplotlib/Plotly for inclusion in the EAR report and researched/summarized content for a fortnightly newsletter and weekly website articles.

Python Pandas Data Wrangling Data Visualization Matplotlib Plotly Economic Indicators Summarization

Data Analyst

Felicity Holistic Care

Mar 2020 - Oct 2020 (7 months)

Maintained large partner/customer databases and analyzed data using statistical techniques to support performance reporting. Developed Power BI dashboards and KPI scorecards to monitor 10K rows of client data and reduced preparation time compared with a standard Excel dashboard.

Power BI Statistical Analysis KPIs Data Visualization Data Analysis performance reporting Dashboard Development Monitoring

Trainee - IT Support

Carrefour (Majid Al Futtaim)

Aug 2016 - Jan 2018 (1 year 5 months)

Analyzed and resolved store-level support tickets using JIRA and provided inbound phone support to guide customers through troubleshooting steps. Escalated high-priority issues to experts to resolve cases that required extended investigation.

Jira Technical Support Troubleshooting Ticketing Customer Support Escalations Diagnostics

Education

Degrees, certifications, and relevant coursework

Monash University

Master of Data Science, Data Science

2018 - 2020

Activities and societies: Key units: Python, Advanced Data Analysis, Data Visualization. Achievement: Awarded Merit Scholarship.

Completed a Master of Data Science at Monash University, focusing on Python, advanced data analysis, and data visualization. Earned a merit scholarship.