PLACED AT MAKEO

From Bootcamp to Business Analyst

Neeva transformed her career trajectory in just 6 months. By mastering data analysis, business intelligence, and strategic problem-solving, she secured a 4.5 LPA package and a pivotal role at makeO — a leader in innovative healthcare solutions.

Neeva Shah - Student Success

Neeva Shah

Business Analyst

Batch
DS/DA/WD/N 08PM 29F - Uncodemy
Location
Mumbai
Completion
2023 (6 Month Intensive)

4.5 LPA

Salary Package

45

Days to Hire

makeO

Healthcare Tech

Top 5%

Cohort Ranking

The Pivot

Student Non-Tech Background
6 MONTHS INTENSIVE
Business Analyst makeO

Before the Program

  • Basic understanding of Excel and spreadsheets.
  • Struggled with SQL queries and Python logic.
  • Imposter syndrome during technical interviews.
  • No portfolio of business analysis projects.

After the Program

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

Healthcare Business Intelligence Dashboard

Healthcare Business Intelligence Dashboard

POWER BI

An end-to-end business intelligence dashboard tracking patient acquisition, revenue, and operational efficiency across multiple healthcare facilities.

The Challenge:

Handling large, disparate datasets from multiple 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. Neeva spent over 40 additional hours in peer-programming sessions to master SQL joins and Python Pandas. 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 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 healthcare platform with 1M+ users.

4

Managerial

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

The Offer

makeO

Business Analyst

Joining the core analytics team responsible for driving data-informed decisions to enhance patient outcomes and business growth.

Trajectory: The Ascent

Neeva's compensation growth mapping from her entry-level role to her current Business Analyst position, highlighting the 4.5 LPA leap post-graduation.

From Internship to Business Analyst

  • 1.0 LPA — Entry-Level Internship
  • 1.5 LPA — Junior Analyst
  • 2.8 LPA — Post-Graduation
  • 3.8 LPA — Data Analyst
  • 4.5 LPA — Business Analyst
Salary Growth Chart

Business 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

"Neeva'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 business 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.'"

- Neeva Shah

THE DREAM ACHIEVED

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