PLACED AT MARSH

From Classroom to Data Analyst

Mohd Shahid transformed his career trajectory in just 6 months. By mastering data analytics, Python, SQL, and business intelligence tools, he secured a 3.30 LPA package and a pivotal role as Data Analyst at Marsh — a global leader in insurance broking and risk management.

Mohd Shahid Chhimpa – Student Success

Mohd Shahid Chhimpa

Data Analyst

Batch
DS/DA/BA/WD/A 10:30 AM 14 Aug -UC
Location
Noida
Completion
August 2024 (6 Month Intensive)

3.30 LPA

Salary Package

35

Days to Hire

Marsh

Global Leader

Top 8%

Cohort Ranking

The Pivot

Student Non-Tech Background
6 MONTHS INTENSIVE
Data Analyst Marsh

Before the Program

  • Basic understanding of statistics and data concepts.
  • Struggled with Python, SQL, and data visualization.
  • Imposter syndrome during technical interviews.
  • No portfolio of data analytics projects.

After the Program

  • Mastery in Python, Pandas, NumPy, and SQL.
  • Confident in data wrangling, EDA, and visualization.
  • Aced technical rounds with multiple offers.
  • Built an end-to-end data analytics solution with real-world impact.

The Learning Journey Timeline

Phase 1: The Foundation

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

Phase 2: The Analytics Phase

Diving into data visualization, business intelligence, and advanced analytics. Developing end-to-end data 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 analyst roles.

Core Tech Stack Mastered

Python Pandas & NumPy SQL Tableau & Power BI Statistics

Capstone Project Mastery

Sales Analytics Dashboard

Sales Analytics Dashboard

DATA ANALYTICS

An end-to-end sales analytics solution for a retail client, featuring data cleaning, exploratory analysis, predictive modeling, and interactive dashboards.

The Challenge:

Handling large-scale sales data with missing values and inconsistencies, while delivering actionable insights for business decision-making.

The Solution:

Implemented data preprocessing pipelines with Pandas and NumPy, built visualizations with Tableau, and created predictive models for sales forecasting. Delivered a comprehensive dashboard for real-time monitoring.

Python Tableau SQL

Performance Scorecard

Python & SQL Assessments95%
Case Study Mocks4.4/5
Soft Skills4.7/5

Overcoming Challenges

Mastering data analytics and handling complex datasets was initially a significant hurdle. Shahid spent over 40 additional hours in peer-learning sessions to understand data wrangling and visualization techniques. Balancing full-time study with part-time work required immense time-management discipline, teaching him prioritization skills that proved invaluable during his technical interviews.

Interview Preparation Intensive

Mock Interviews

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

Resume Workshops

Iterated on portfolio presentation to highlight impact-driven metrics and data analytics 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 Python, SQL, and statistics concepts.

2

Technical Round

Live coding interview tackling data manipulation, visualization, and analytical problem-solving.

3

Case Study

Presented a complete data analytics 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

Marsh

Data Analyst

Joining the analytics team responsible for delivering data-driven insights and business intelligence solutions to enterprise clients.

Trajectory: The Ascent

Shahid's compensation growth mapping from his entry-level role to his current Data Analyst position, highlighting the 3.30 LPA leap post-graduation.

From Internship to Data Analyst

  • 0.8 LPA — Entry-Level Internship
  • 1.1 LPA — Junior Analyst
  • 2.2 LPA — Post-Graduation
  • 2.9 LPA — Associate Data Analyst
  • 3.30 LPA — Data Analyst
Salary Growth Chart

Data Analytics Trainers & Mentors

Mr. Upendra Kumar Tiwari - Ex-Walmart, Ericsson, Cognizant

Mr. Upendra Kumar Tiwari

Ex-Walmart, Ericsson, Cognizant

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

Mr. Irshad Khan

Ex-KPMG, GlobalLogic

Connect on LinkedIn
Mr. Syed Najeeb - Ex-Air India, ISAP India

Mr. Syed Najeeb

Ex-Air India, ISAP India

Connect on LinkedIn

"Shahid's ability to turn raw data into actionable insights is what made him stand out. He approached every dataset with curiosity and rigor, always looking for the story behind the numbers. His dedication to mastering the full data analytics lifecycle and his problem-solving mindset made him a perfect fit for the Marsh team."

- Mr. Upendra Kumar Tiwari

"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."

- Mohd Shahid Chhimpa

THE DREAM ACHIEVED

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