Summary
Overview
Work History
Education
Skills
Certification
Projects
Languages
Timeline
Generic

Pooja Rameshkannan

Ehningen

Summary

An analytical and highly motivated Data Analyst with a solid foundation in statistical analysis, data visualization, and business intelligence tools. Known for strong communication skills, a proactive work ethic, and keen attention to detail. Skilled in transforming raw data into strategic insights to inform decision-making and drive operational efficiency.

Overview

2
2
years of professional experience
1
1
Certification

Work History

Programmer Analyst

Cognizant
10.2020 - 09.2021
  • Designed and executed robust ETL workflows to extract, transform, and load data from 10+ heterogeneous databases—including supply chain, financial, and accounting systems—processing over 1 million records weekly and increasing data quality consistency by 95%.
  • Designed and optimized data pipelines using Talend, significantly improving the efficiency and quality of data products.
  • Utilized Azure Data Factory and Databricks for scalable data integration, transformation, and orchestration across multiple environments.
  • Maintained and updated technical documentation to reflect project deviations and ensure alignment with evolving business requirements.
  • Mentored and supported junior engineers, providing technical guidance, code reviews, and best practices to foster team growth and knowledge sharing.

Programmer Analyst Trainee

Cognizant
12.2019 - 05.2020
  • Performed descriptive and exploratory data analysis on healthcare datasets containing over 500,000 records, uncovering key patterns and anomalies that contributed to a 15% improvement in clinical decision-making accuracy and a 20% increase in operational efficiency.
  • Designed and implemented ETL workflows using Informatica, ensuring accurate and efficient data integration across systems.
  • Developed interactive dashboards in Microsoft Power BI to visualize key performance indicators and enhance stakeholder decision-making.
  • Authored detailed reports documenting system bugs, design flaws, and improvement recommendations, contributing to product refinement and quality assurance.

Education

Bachelor of Engineering - Electrical And Electronics Engineering

Velammal College of Engineering And Technology
Madurai, India
04-2020

Skills

Programming & Scripting: Python, SQL

Data Visualization: Microsoft Power BI, IBM Cognos Analytics

ETL & Data Integration: Talend, Informatica, Azure Data Factory, Databricks

Database Systems: SQL Database, Oracle Database, SQL Data Warehouse (SQL DWH)

Office Productivity Tools: Microsoft Office Suite (Excel, Word, PowerPoint)

Emerging Technologies: Generative AI ( OpenAI APIs and tools)

Certification

  • Certified IBM Data Analyst Professional
  • GenAI for Data Analysis : OpenAI Assistant API
  • Power Bi Data Modeling with DAX

Projects

  • Trends and Predictions in Software Technologies

Tools: IBM Cognos Analytics, Python
Conducted comprehensive data cleaning and validation to ensure dataset integrity. Performed in-depth analysis to uncover emerging trends in software technologies, and generated insights on the future popularity of programming languages. Delivered findings through dynamic visualizations and predictive modeling to support strategic tech planning.

  • Exploratory Data Analysis on Netflix Dataset

Tools: SQL, Power BI
Extracted, transformed, and analyzed data using SQL to explore Netflix’s content distribution. Developed interactive dashboards in Power BI to visualize the volume of content, genre diversity, and geographic production spread. Provided actionable insights to better understand content strategies and viewer engagement.

  • AI-Powered Data Analysis Assistant

Tools: Python, OpenAI API
Developed an intelligent assistant capable of interpreting natural language queries and delivering accurate analytical responses. Leveraged OpenAI’s capabilities to simplify complex data interpretation and presented results with clear, insightful visualizations, enhancing accessibility to data-driven insights for non-technical users.

  • Predictive Analysis on Housing Market

Tools: Python - Matplotlib, Seaborn
Implemented Predictive analysis to detect housing prices based on a range of features including location, property size, and market trends. Produced interpretable analytics that offer valuable insights for real estate professionals and investors to guide strategic decision-making.

  • Vehicle Sales Reporting Dashboard

Tools: MS Excel, IBM Cognos Analytics
Designed and deployed interactive dashboards to visualize car and bike sales data. Utilized advanced Excel functions and IBM Cognos Analytics to provide stakeholders with real-time sales performance tracking and trend identification, supporting inventory and marketing strategies.

Languages

English
Advanced (C1)
German
Elementary (A2)
Tamil
Bilingual or Proficient (C2)

Timeline

Programmer Analyst

Cognizant
10.2020 - 09.2021

Programmer Analyst Trainee

Cognizant
12.2019 - 05.2020

Bachelor of Engineering - Electrical And Electronics Engineering

Velammal College of Engineering And Technology
Pooja Rameshkannan