PLACED AT FRACTAL

From Learner to Data Scientist

Sagar rewrote his career story in a matter of months. With deep focus on machine learning, analytics, Python, and business intelligence, he clinched a 4.8 LPA role as Data Scientist at Fractal — a global powerhouse in AI and analytics.

Sagar Thakur - Student Success

Sagar Thakur

Data Scientist

Batch
(DS/WD/R-FEB-01) – Uncodemy
Location
Pune
Completion
February 2026 (Intensive Program)

4.8 LPA

Salary Package

30

Days to Hire

Fractal

AI & Analytics Leader

Top 5%

Cohort Ranking

The Turning Point

Aspirant Non-Tech Background
INTENSIVE TRAINING
Data Scientist Fractal

Before the Program

  • Familiar with statistics and math but lacked practical exposure.
  • Found Python, ML, and data visualization challenging.
  • Felt unsure during technical interview rounds.
  • Had no real data science project portfolio.

After the Program

  • Proficient in Python, Pandas, NumPy, and core ML algorithms.
  • Confident in data cleaning, EDA, and predictive modeling.
  • Cleared multiple technical interviews with ease.
  • Delivered an end-to-end data science project with measurable impact.

The Learning Path

Phase 1: Laying the Groundwork

Building strong fundamentals in Python, statistics, and data structures. Learning to manipulate, clean, and explore data effectively.

Phase 2: Immersing in Data Science

Exploring machine learning, deep learning, and big data tools. Building end-to-end projects using real-world datasets.

Phase 3: Gearing Up for Placement

Rigorous mock interviews, case study presentations, and resume refinement. Crafting a compelling narrative for data science roles.

Core Tech Stack Mastered

Python Pandas & NumPy Machine Learning SQL Tableau & Power BI

Capstone Project Mastery

Predictive Analytics Platform

Predictive Analytics Platform

MACHINE LEARNING

An end-to-end predictive analytics platform for a retail client, featuring demand forecasting, customer segmentation, and real-time recommendation engine.

The Challenge:

Handling large-scale customer data with missing values and noisy features, while delivering accurate predictions for inventory planning and personalized marketing.

The Solution:

Implemented data preprocessing pipelines with Pandas and NumPy, built XGBoost and Random Forest models for demand forecasting, and deployed the solution using Flask with a Tableau dashboard for visualization.

Scikit-learn XGBoost Tableau

Performance Scorecard

Python & ML Assessments97%
Case Study Mocks4.5/5
Soft Skills4.8/5

Overcoming Challenges

Grasping advanced machine learning concepts and wrestling with complex datasets was a steep climb at first. Sagar invested over 50 extra hours in peer coding sessions to truly understand model selection and hyperparameter tuning. Juggling full-time learning with part-time work demanded exceptional time management — a skill that later became his secret weapon in technical interviews.

Interview Preparation Intensive

Mock Interviews

Completed 15+ rigorous technical mocks with industry experts, sharpening his approach to ML and data science problem-solving.

Resume Workshops

Refined his portfolio to spotlight impact-driven metrics and data science project outcomes.

Soft Skills Training

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

Interview & Placement Process

1

Online Assessment

Cleared a 90-minute test covering Python, statistics, and machine learning concepts.

2

Technical Round

Live coding interview tackling data manipulation, algorithm implementation, and model evaluation.

3

Case Study

Presented a complete data science 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

Fractal

Data Scientist

Joining the analytics team responsible for delivering data-driven insights and machine learning solutions to enterprise clients, at a global leader in AI and analytics.

Trajectory: The Climb

Sagar's compensation growth from his entry-level role to his current Data Scientist position, highlighting the 4.8 LPA jump post-graduation.

From Internship to Data Scientist

  • 1.0 LPA — Entry-Level Internship
  • 1.4 LPA — Junior Analyst
  • 3.1 LPA — Post-Graduation
  • 4.2 LPA — Associate Data Scientist
  • 4.8 LPA — Data Scientist
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

"Sagar's curiosity and his ability to connect data with business outcomes is what made him stand out. He didn't just build models; he understood the 'why' behind every algorithm. His passion for storytelling through data and his dedication to mastering the entire data science lifecycle made him a perfect fit for the Fractal team."

- Sarah Jenkins

"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.'"

- Sagar Thakur

THE DREAM ACHIEVED

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