PLACED AT QUALYS

From Classroom to Data Quality Analyst

Divya transformed her career trajectory in just 6 months. By mastering data quality analysis, SQL, Python, data profiling, and data governance, she secured an 8.5 LPA package and a pivotal role as Data Quality Analyst at Qualys — a global leader in cloud security and compliance solutions.

Divya Pandey – Student Success

Divya Pandey

Data Quality Analyst

Batch
DS/DA/BA/WE/N 03PM 21N+15J+16F – UC
Location
Pune
Completion
2024 (6 Month Intensive)

8.5 LPA

Salary Package

35

Days to Hire

Qualys

Global Leader

Top 4%

Cohort Ranking

The Pivot

Student Non-Tech Background
6 MONTHS INTENSIVE
Data Quality Analyst Qualys

Before the Program

  • Basic understanding of data concepts and spreadsheets.
  • Struggled with SQL, Python, and data quality frameworks.
  • Imposter syndrome during technical interviews.
  • No portfolio of data quality or analytics projects.

After the Program

  • Mastery in SQL, Python, data profiling, and data governance.
  • Confident in data quality assessment, cleansing, and reporting.
  • Aced technical rounds with multiple offers.
  • Built an end-to-end data quality framework for a real dataset.

The Learning Journey Timeline

Phase 1: The Foundation

Mastering SQL, Python, statistics, and data fundamentals. Building a strong foundation in data manipulation and analysis.

Phase 2: The Data Quality Phase

Diving into data profiling, data cleansing, data governance, and quality metrics. Developing end-to-end data quality solutions with real-world datasets.

Phase 3: The Placement Prep

Intensive mock interviews, case study presentations, and resume optimization. Refining the personal narrative for data quality analyst roles.

Core Tech Stack Mastered

SQL Python Data Profiling Data Quality Data Governance

Capstone Project Mastery

Data Quality Framework

Data Quality Framework

DATA QUALITY

An end-to-end data quality framework for a financial services client, featuring data profiling, cleansing, validation, and reporting with measurable quality metrics.

The Challenge:

Identifying and resolving data quality issues across multiple source systems, ensuring accuracy, completeness, and consistency for critical business reporting.

The Solution:

Implemented data profiling with Python and SQL, designed data quality rules, automated cleansing and validation processes, and built a real-time data quality dashboard. Achieved 98% data accuracy and reduced manual data correction time by 70%.

Python SQL Tableau

Performance Scorecard

SQL & Python Assessments97%
Data Quality Mocks4.5/5
Soft Skills4.8/5

Overcoming Challenges

Mastering data quality frameworks and handling complex datasets was initially a significant hurdle. Divya spent over 45 additional hours in peer-learning sessions to understand data profiling, quality metrics, and governance. Balancing full-time study with part-time work required immense time-management discipline, teaching her prioritization skills that proved invaluable during her technical interviews.

Interview Preparation Intensive

Mock Interviews

Completed 15+ rigorous technical mocks with industry experts, refining approach to data quality and problem-solving.

Resume Workshops

Iterated on portfolio presentation to highlight impact-driven metrics and data quality project outcomes.

Soft Skills Training

Mastered the STAR method for behavioral rounds, ensuring clear, confident communication of past experiences.

Interview & Placement Process

1

Online Assessment

Aced a 90-minute test covering SQL, Python, and logical reasoning.

2

Technical Round

Live interview tackling data profiling, cleansing, and quality assessment scenarios.

3

Case Study

Presented a complete data quality solution for a business problem, demonstrating analytical thinking and communication skills.

4

Managerial

Final discussion focusing on behavioral questions, culture fit, and career aspirations.

The Offer

Qualys

Data Quality Analyst

Joining the data quality team responsible for ensuring the accuracy, completeness, and reliability of enterprise data assets, driving data-driven decision making for global clients.

Trajectory: The Ascent

Divya's compensation growth mapping from her entry-level role to her current Data Quality Analyst position, highlighting the 8.5 LPA leap post-graduation.

From Internship to Data Quality Analyst

  • 1.5 LPA — Entry-Level Internship
  • 2.5 LPA — Junior Analyst
  • 5.0 LPA — Post-Graduation
  • 7.0 LPA — Associate Data Quality Analyst
  • 8.5 LPA — Data Quality Analyst
Salary Growth Chart

Data Analytics Trainers & Mentors

Mr. Kunal Arora - Ex-Noidavery, Keventers

Mr. Kunal Arora

Ex-Noidavery, Keventers

Connect on LinkedIn
Mr. Upendra Kumar Tiwari - Ex-Walmart, Ericsson, Cognizant

Mr. Syed Najeeb

Ex-Air India, ISAP India

Connect on LinkedIn
Mr. Irshad Khan - Ex-KPMG, GlobalLogic

Mr. Irshad Khan

Ex-KPMG, GlobalLogic

Connect on LinkedIn

"Divya's ability to turn raw data into reliable, high-quality insights is what made her stand out. She approached every dataset with a rigorous, detail-oriented mindset and always looked for ways to improve data integrity. Her dedication to mastering data quality and her problem-solving mindset made her a perfect fit for the Qualys team."

- Mr. Kunal Arora

"Consistency was my secret weapon. The curriculum was tough, but showing up every single day and trusting the process changed my life. Uncodemy turns ambition into achievement."

- Divya Pandey

THE DREAM ACHIEVED

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