Eknath Shankar Rathod: From Learning Data Analytics to a Professional Role at KPMG

What does it take to move from learning analytics concepts to using them in a professional setting? Eknath Shankar Rathod’s journey at 3RI Technologies offers a practical look at this transition. From Excel, SQL, and Python to Power BI, Tableau, projects, and interview preparation, the case study follows the data analytics skills and experience he developed before taking up a Data Analytics role at KPMG.

Table of Contents

Eknath Shankar Rathod’s Data Analytics training, projects, and career journey from 3RI Technologies to KPMG.

Introduction

Eknath Shankar Rathod’s journey with structured learning and practical exposure can help learners prepare for a professional career in analytics. After completing the Data Analytics Course in Pune, he developed practical knowledge of data analysis, visualization, and commonly used analytics tools through hands-on learning and project-based activities. With 3RI Technologies’ practical training approach, he strengthened his technical skills and gained experience working with data-driven tasks. He was placed into a Data Analytics role at KPMG, taking his learning into a professional work environment.

The Challenge 

Eknath Shankar Rathod wanted to learn practical data analytics capabilities and build the technical confidence required for a professional analytics role. His learning requirement was not limited to understanding individual tools. He needed to connect data preparation, analysis, visualization, business interpretation, and interview communication into one practical workflow.

The key challenge was turning concepts into skills that could be demonstrated through projects and discussed confidently during interviews.

Learning RequirementTraining Focus
Data preparationExcel, SQL, and Power Query
Data analysisSQL, Python, Pandas, and NumPy
Business reportingPower BI, DAX, and dashboards
Practical exposureBusiness cases and portfolio projects
Interview readinessMock interviews, technical questions, and project discussions

The Learning Approach at 3RI Technologies

3RI Technologies offers a 5-month Data Analytics course in Pune designed to build practical skills through hands-on training and project-based learning. The program covers Excel, SQL, Python, Power BI, Tableau, and Generative AI, along with data cleaning, analysis, visualization, and reporting. Learners also work on 2 real-time projects and practical business use cases, helping them understand how analytics tools are applied to real workplace requirements. The training also includes interview preparation and career-focused guidance to support learners as they prepare for professional opportunities.

The Learning Path of Data Analytics Training in Pune

The 5-month Data Analytics program at 3RI Technologies was designed to take learners from core analytics concepts to hands-on practice, real-world projects, dashboard development, interview preparation, certification, and career support. The training covers tools such as Excel, SQL, Python, Power BI, Tableau, and Generative AI, with a strong focus on applying these skills to practical business scenarios.

  • Week 1 – Excel Fundamentals: We introduced data analytics basics and covered Excel, data cleaning, formulas, pivot tables, charts, and reporting through practical exercises.

  • Week 2 – SQL: Learners practiced SQL queries, joins, filtering, grouping, and data extraction using structured datasets.

  • Week 3 – Python: We introduced Python with NumPy and Pandas, focusing on data cleaning, transformation, exploration, and analysis.

  • Week 4 – Power BI & Tableau: Learners created interactive dashboards and reports using Power BI, DAX, and Tableau, with emphasis on presenting useful business insights.

  • Week 5 – Hands-on Projects: We worked on practical scenarios such as sales analysis, customer data, and performance reporting. Learners followed the process from data preparation to visualization and insight generation.

  • Week 6 – Industry Practice: We introduced business-focused case studies and Generative AI concepts to help learners understand current analytics workflows.

  • Week 7 – Interview Preparation: We focused on mock interviews, technical questions, resume guidance, portfolio development, and explaining project work confidently.

This approach helped connect learning, practice, projects, and career preparation in one structured training journey.

The Outcome of Data Analytics Courses in Pune

Our approach at 3RI Technologies is centered on learning by doing. We combined technical lessons with practical exercises and projects so learners could understand how analytics tools work together when solving business problems. The training contributed to several important outcomes:

  • Stronger Technical Foundation: Eknath Shankar gained practical exposure to Excel, SQL, Python, and data analysis techniques.

  • Confidence With Analytics Tools: Working with Pandas, NumPy, Power BI, DAX, and Tableau helped learners become more comfortable handling and presenting data.

  • Real-time Project Practice: Business-focused exercises gave him the opportunity to clean datasets, analyze information, create dashboards, and draw meaningful observations.

  • Better Troubleshooting: Practical tasks encouraged him to identify data inconsistencies, query errors, and reporting issues and work toward suitable solutions.

  • Professional Preparation: Resume guidance, mock interviews, and project-based questions helped him prepare for the expectations of analytics interviews.

  • Career Application: Through our Data Analytics Courses in Pune, the focus remained on developing skills that he can carry into his professional journey. Eknath Shankar Rathod subsequently moved into a Data Analytics role at KPMG.

Data Analytics Training at 3RI Technologies

Do you know what it takes to work confidently with data in a professional environment? At 3RI Technologies, we focus on practical learning through our Data Analytics Training in Pune, covering Excel, SQL, Python, Power BI, Tableau, and Generative AI. The training also includes interview preparation, mock interviews, resume guidance, and portfolio support. Through this combination of technical learning and hands-on practice, we help learners understand how to work with data, create meaningful reports, and confidently discuss their project work during interviews. 

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