PLACED AT CLOUDFIRST

From Bootcamp to Data Analyst

Priyanka transformed her career trajectory in just 6 months. By mastering data analysis, visualization, and business intelligence tools, she secured a 3.0 LPA package and a pivotal role at CloudFirst Digital Technology Services — a leader in cloud-driven digital solutions.

Priyanka Kumari - Student Success

Priyanka Kumari

Data Analyst

Batch
DS/DA Weekend July Batch 10 AM - Uncodemy
Location
Noida
Completion
2023 (6 Month Intensive)

3.0 LPA

Salary Package

45

Days to Hire

CloudFirst

Cloud Tech

Top 5%

Cohort Ranking

The Pivot

Student Non-Tech Background
6 MONTHS INTENSIVE
Data Analyst CloudFirst

Before the Program

  • Basic understanding of Excel and spreadsheets.
  • Struggled with SQL queries and Python logic.
  • Imposter syndrome during technical interviews.
  • No portfolio of data-driven dashboards.

After the Program

  • Mastery in Power BI, SQL, and Python Pandas.
  • Confident in data modeling, ETL processes, and statistical analysis.
  • Aced technical rounds with multiple offers.
  • Built an enterprise-grade sales and marketing dashboard.

The Learning Journey Timeline

Phase 1: The Foundation

Mastering Excel, core SQL, and fundamental statistics. Building a strong base for data analysis and business intelligence.

Phase 2: The Application Phase

Diving into Power BI, Python Pandas, and ETL processes. Developing comprehensive dashboards with real-world complexities.

Phase 3: The Placement Prep

Intensive mock interviews, data story-telling whiteboarding, and resume optimization. Refining the personal narrative for analyst roles.

Core Tech Stack Mastered

Python SQL Power BI Pandas Statistics

Capstone Project Mastery

Cloud Services Sales Performance Dashboard

Cloud Services Sales Performance Dashboard

POWER BI

An end-to-end business intelligence dashboard tracking cloud service subscriptions, revenue, and customer churn across multiple regions.

The Challenge:

Handling large, disparate datasets from multiple cloud databases and Excel sheets with poor data quality.

The Solution:

Implemented Star Schema data modeling, optimized SQL queries, and used Python Pandas for ETL. Achieved a 40% faster decision-making cycle for the management team.

DAX Python Power Query

Performance Scorecard

Data Analysis96%
SQL & Statistics4.5/5
Soft Skills4.8/5

Overcoming Challenges

Transitioning to data modeling and handling large datasets was initially a significant hurdle. Priyanka spent over 40 additional hours in peer-programming sessions to master SQL joins and Python Pandas. Balancing full-time study with family responsibilities 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 SQL queries and data storytelling.

Resume Workshops

Iterated on portfolio presentation to highlight impact-driven metrics and dashboard design decisions.

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 SQL and Excel challenge focusing on data extraction, joins, and statistical logic.

2

Technical Round

Live coding interview tackling Python Pandas transformations and DAX calculations.

3

System Design

Whiteboarding a scalable data pipeline for a cloud services platform with 1M+ users.

4

Managerial

Final discussion focusing on business acumen, culture fit, and career aspirations.

The Offer

CloudFirst Digital Technology Services

Data Analyst

Joining the core analytics team responsible for driving data-informed decisions to enhance cloud service adoption and business growth.

Trajectory: The Ascent

Priyanka's compensation growth mapping from her entry-level role to her current Data Analyst position, highlighting the 3.0 LPA leap post-graduation.

From Internship to Data Analyst

  • 0.8 LPA — Entry-Level Internship
  • 1.2 LPA — Junior Analyst
  • 2.0 LPA — Post-Graduation
  • 2.6 LPA — Data Analyst
  • 3.0 LPA — Data Analyst
Salary Growth Chart

Data Analyst Trainers & Mentors

Mr. Syed Najeeb

Mr. Syed Najeeb

Ex-Employee: Air India | ISAP India | Ramtech Software Solutions

Connect on LinkedIn
Mr. Irshad Khan

Mr. Irshad Khan

Ex-Employee: KPMG | Global logic | Ministry of health and welfare

Connect on LinkedIn
Mr. Kunal Arora

Mr. Kunal Arora

Ex-Employee: Noidavery | Keventers | Red & Wine

Connect on LinkedIn

"Priyanka's dedication to mastering the fundamentals of data analysis before jumping into complex visualization tools is what set her apart. During our 1:1 sessions, she consistently asked probing questions about data integrity and business impact. She didn't just want to make charts; she wanted to understand the story behind the data. That curiosity is the true hallmark of a skilled analyst, and it's exactly why she excelled in her interviews."

- Mr. Syed Najeeb

"Think IT Job. Think Uncodemy. Consistency was my secret weapon. The curriculum was tough, but showing up every single day and trusting the process changed my life. 'We rise by lifting others.'"

- Priyanka Kumari

THE DREAM ACHIEVED

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