Pooja Kishor Joshi: From Data Analytics Course to Financial Analyst at Hexaware

Introduction

Pooja Kishor Joshi began her learning journey with a clear goal: to become more confident in working with data and understand how analytics is used in a professional environment. At 3RI Technologies, the Data Analytics Course introduced her to key areas such as data analysis, reporting, visualization, and commonly used tools. Regular practice and project-based learning helped her move beyond theory and gain a better feel for how an analytics workflow works from one stage to the next.

This learning experience became part of her journey toward becoming a Financial Analyst at Hexaware. In her professional role, an understanding of data can be valuable when reviewing financial information, preparing reports, interpreting figures, and supporting business-related analysis.

The Challenge

Stepping into a finance role that involves regular work with data takes more than knowing the basic concepts. Pooja needed to understand how raw data is organized, cleaned, analyzed, and presented in a way that makes sense for business use. Her learning journey therefore focused not only on individual tools but also on how these skills work together in practical situations.During the training, she worked on areas such as:

• Handling data: Excel, formulas, data cleaning, and working with structured datasets helped her build a stronger foundation for managing information.
  
  
• Analyzing information: SQL, Python, Pandas, and NumPy introduced her to different ways of working with and interpreting data.
  
  
• Creating business reports: Power BI, dashboards, DAX, and data visualization helped her learn how to present findings in a clear and useful format.
  
  
• Applying knowledge: Practical exercises and projects gave her opportunities to work through business-oriented scenarios instead of relying only on classroom theory.
  
  
• Preparing for a career: Resume guidance, mock interviews, and project discussions helped her understand how to present her skills in a professional setting.
  
  

The real value of the learning process was in bringing these areas together. Rather than treating Excel, SQL, Python, and Power BI as separate skills, Pooja could see how they fit into a complete analytics workflow and how that understanding could be useful in business and financial work.

The Learning Approach at 3RI Technologies

Pooja’s training at 3RI Technologies gave her a chance to learn data analytics in a structured yet practical way. The 5-month Data Analytics Course in Pune covers tools such as Excel, SQL, Python, Power BI, Tableau, and Generative AI, along with the fundamentals of preparing, analyzing, visualizing, and reporting data.

What made the learning experience useful was the focus on applying these concepts rather than simply studying them. Through regular practice, Pooja could understand how different tools fit into the same workflow. She worked through activities that involved organizing data, analyzing information, preparing dashboards, and presenting insights in a clear manner.

The course also provides 2 real-time projects, giving learners an opportunity to work with practical situations and use their skills beyond classroom exercises. Alongside technical topics, the program includes resume support, mock interviews, portfolio development, project discussions, certification, and career guidance. Together, these aspects helped make Pooja’s learning experience more closely connected to the expectations of a professional workplace.

The Learning Path of Data Analytics Courses in Pune

Pooja’s learning path was structured to move gradually from data fundamentals to practical analytics work. Rather than trying to learn every tool together, the training introduced concepts in stages, allowing her to understand how each skill contributes to the wider analytics process.

• Week 1–2 – Data & Analytics Fundamentals: The initial stage focused on understanding the role of data analytics, basic statistical concepts, different types of data, and how businesses use data to support decisions.
  
  
• Week 3–4 – Excel & Data Handling: The learning then moved into Excel, covering spreadsheets, formulas, data organization, cleaning, functions, pivot tables, charts, and reporting. These fundamentals created a practical base for working with business datasets.
  
  
• Weeks 5–7 – SQL & Database Analysis: Pooja could then build an understanding of SQL and database-based analysis. Topics such as filtering, grouping, joins, and data extraction helped connect database information with analytical requirements.
  
  
• Weeks 8–10 – Python for Data Analysis: Python was introduced as a way to work with data beyond traditional spreadsheets. Pandas and NumPy supported activities such as data manipulation, cleaning, exploration, and analysis.
  
  
• Weeks 11–13 – Power BI & Data Visualization: The next stage focused on turning analysed information into understandable visual reports. Power BI, dashboards, visualization concepts, and DAX helped demonstrate how raw information can be presented in a form that business users can interpret.
  
  
• Week 14 – Tableau & Reporting: Tableau added another perspective to data visualization, giving learners exposure to creating visual representations of information and communicating findings more clearly.
  
  
• Week 15 – Projects & Business Applications: Practical project work brought the different skills together. Learners could work through activities involving data preparation, analysis, visualization, and reporting rather than treating each tool as an isolated subject.
  
  
• Week 16 – Career & Industry Preparation: The final stage connected technical learning with professional preparation through project discussions, portfolio development, resume guidance, mock interviews, and career-oriented activities.
  
  

The Outcome of Data Analytics Courses in Pune

Pooja’s time at 3RI Technologies gave her a structured environment to learn analytics concepts and gradually put them into practice. Instead of focusing only on classroom theory, her training covered different tools and activities that helped her understand how data is handled, analyzed, and presented for business use.

Her learning experience can be summarized through the following key areas:

One of the important aspects of her journey was the connection between learning and application. Working with several analytics tools alongside practical activities helped her develop a broader view of how data can support everyday business work.

Her progression to the role of Financial Analyst at Hexaware reflects how the skills developed during her training became part of her professional journey. It also highlights the value of combining technical knowledge, practical exposure, and career-focused preparation when working toward a role involving data and financial information.

Data Analytics Training at 3RI Technologies

For Pooja, learning data analytics was not simply about becoming familiar with different software tools. Her training at 3RI Technologies involved understanding how tools such as Excel, SQL, Python, Power BI, Tableau, and Generative AI can be used while working with real data and business information.

The program gave her space to practice through projects, business-oriented examples, and hands-on exercises. She also received support in areas such as interview preparation, resume building, portfolio creation, certification, and career planning. This combination helped connect her technical learning with the practical side of working in an analytics-focused environment.

Her progression into a Financial Analyst position at Hexaware provides a useful example of where this learning journey led. It shows how developing practical knowledge in data analytics can become part of a broader professional transition.