PLACED AT EXPEDIA

A Journey from Learner to Data Scientist

Aarav Sharma rewrote his professional story with Uncodemy's Data Science track. Within a focused stretch of hands-on training, he built expertise in Python, statistical modeling, SQL, and dashboarding — earning a 3.6 LPA offer as a Data Scientist at Expedia, Gurugram.

Aarav Sharma - Student Success

Aarav Sharma

Data Scientist

Batch
(DA|WD|IR-FEB-18) — Uncodemy
Location
Gurugram
Batch Start Date
Feb 18, 2026 (Career-Focused Track)

3.6 LPA

Salary Package

50

Days to Hire

Expedia

Global Travel Tech

Top 8%

Cohort Ranking

The Pivot

Aspiring Techie Non-Tech Background
CAREER-FOCUSED DATA SCIENCE TRACK
Data Scientist Expedia, Gurugram

Before the Program

  • No structured exposure to programming or analytics tools.
  • Confused about how to enter the data science industry.
  • Weak grasp of statistics, SQL, and ML fundamentals.
  • Zero hands-on projects or GitHub presence.

After the Program

  • Confident in Python, SQL, Pandas, and Scikit-learn workflows.
  • Built multiple end-to-end ML projects with clean documentation.
  • Cleared every interview round with structured answers.
  • Secured a full-time Data Scientist role at Expedia.

The Learning Journey Timeline

Phase 1: Strengthening Fundamentals

Started with Python syntax, control flow, and core statistics. Practiced data cleaning and exploratory analysis using Pandas and NumPy on real datasets.

Phase 2: Applied Machine Learning

Moved into regression, classification, and clustering algorithms. Learned model evaluation, feature engineering, and hyperparameter tuning through guided projects.

Phase 3: Interview Readiness

Focused on SQL query practice, case-study discussions, resume refinement, and live mock interviews to build confidence for real hiring rounds.

Core Tech Stack Mastered

Python Pandas & NumPy Machine Learning SQL Tableau & Power BI

Capstone Project Mastery

Hotel Booking Cancellation Predictor

Hotel Booking Cancellation Predictor

MACHINE LEARNING

A supervised learning project built to predict whether a hotel booking will be cancelled, helping hospitality teams plan occupancy and revenue more accurately.

The Challenge:

Working with a large booking dataset containing mixed data types, seasonal patterns, and class imbalance that made accurate prediction tricky.

The Solution:

Engineered features from booking dates and customer behavior, trained Logistic Regression, Decision Tree, and Random Forest models, and compared them using precision, recall, and F1-score. Visualized results through a Tableau dashboard.

Scikit-learn Random Forest Tableau

Performance Scorecard

Python & ML Assessments92%
Case Study Mocks4.2/5
Soft Skills4.5/5

Overcoming Challenges

Aarav's biggest hurdle was moving from theoretical understanding to practical implementation. Concepts like model evaluation metrics and feature engineering felt abstract until he started building projects from scratch. Regular mentor check-ins and daily coding practice helped him convert confusion into clarity, and by the final phase, he was confidently explaining his models to interviewers.

Interview Preparation Intensive

Mock Interviews

Participated in 10+ mock sessions covering Python, SQL, statistics, and ML concepts with detailed feedback after each round.

Resume Workshops

Redesigned his resume around project outcomes and quantifiable results, making it ATS-friendly and recruiter-ready.

Soft Skills Training

Learned to frame answers using the STAR technique and to explain complex ideas in simple, business-friendly language.

Interview & Placement Process

1

Online Assessment

Solved a timed test with Python, SQL, and basic statistics problems within a strict time limit.

2

Technical Round

Answered live coding and concept-based questions on data wrangling, model selection, and evaluation metrics.

3

Case Study

Walked the panel through a complete ML project — from problem framing to model deployment — with clear reasoning.

4

Managerial Round

Discussed teamwork, adaptability, and long-term career goals in an open conversation with the hiring manager.

The Offer

Expedia

Data Scientist

Joining Expedia in Gurugram as a Data Scientist, working with one of the world's leading travel technology platforms to build data-driven products and insights.

Trajectory: The Ascent

Aarav's compensation growth from his early roles to his current Data Scientist position at Expedia, showing the steady climb that ended with a 3.6 LPA offer.

From Beginner to Data Scientist

  • 1.0 LPA — Trainee / Intern
  • 1.5 LPA — Junior Data Analyst
  • 2.2 LPA — Analytics Associate
  • 3.0 LPA — Data Analyst
  • 3.6 LPA — Data Scientist at Expedia
Salary Growth Chart

Trainer & Mentor Team

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
Mr. Kunal Arora - Ex-Noidavery, Keventers

Mr. Kunal Arora

Ex-Noidavery, Keventers

Connect on LinkedIn

"Aarav had that rare mix of patience and persistence. He never rushed through concepts — he sat with problems until they made sense. Watching him grow from writing his first Python script to confidently presenting a full ML pipeline in interviews has been genuinely rewarding for our entire mentor team."

- Mentor Panel, Uncodemy

"I came in unsure whether I belonged in tech. I'm leaving as a Data Scientist at Expedia. The structured curriculum, honest feedback, and relentless mentor support made all the difference."

- Aarav Sharma

THE DREAM ACHIEVED

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