PLACED AT INFOSYS

From Classroom to Data Scientist

Shahid turned his ambition into achievement in a single intensive program. By mastering data analytics, machine learning, Python, and business intelligence, he landed a 6.0 LPA package as a Data Scientist at Infosys — one of India's global IT leaders.

Shahid - Student Success

Shahid

Data Scientist

Batch
(DA/WE/R-JAN12) 06:00 PM – Uncodemy
Location
Delhi
Completion
January 2024 (Intensive Program)

6.0 LPA

Salary Package

30

Days to Hire

Infosys

Global IT Leader

Top 5%

Cohort Ranking

The Pivot

Learner Non-Tech Background
INTENSIVE PROGRAM
Data Scientist Infosys

Before the Program

  • Limited exposure to programming and data tools.
  • Found statistics, Python, and ML concepts overwhelming.
  • Lacked confidence in technical interviews.
  • No real-world data science portfolio.

After the Program

  • Strong command over Python, Pandas, NumPy, and ML algorithms.
  • Comfortable with data cleaning, EDA, and predictive modeling.
  • Cracked multiple technical rounds with confidence.
  • Built a complete end-to-end data science project.

The Learning Journey Timeline

Phase 1: Building the Base

Strengthening fundamentals in Python, statistics, and data structures. Learning how to clean, transform, and explore data effectively.

Phase 2: Deep Dive into Data Science

Exploring machine learning, deep learning, and big data tools. Working on real datasets to build end-to-end data science solutions.

Phase 3: Placement Preparation

Intense mock interviews, case study presentations, and resume building. Crafting a strong personal narrative for data science roles.

Core Tech Stack Mastered

Python Pandas & NumPy Machine Learning SQL Tableau & Power BI

Capstone Project Mastery

Customer Churn Prediction Platform

Customer Churn Prediction Platform

MACHINE LEARNING

An end-to-end churn prediction system for a telecom client, featuring data preprocessing, feature engineering, model training, and an interactive dashboard for business insights.

The Challenge:

Dealing with imbalanced customer data, missing values, and noisy features while building a model that could accurately flag at-risk customers for retention campaigns.

The Solution:

Built data pipelines with Pandas and NumPy, trained Logistic Regression and Random Forest models, and deployed the solution with a Power BI dashboard to visualize churn drivers and predictions.

Scikit-learn Random Forest Power BI

Performance Scorecard

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

Overcoming Challenges

Grasping machine learning concepts and working with messy real-world data was initially challenging. Shahid dedicated extra hours to peer coding sessions and hands-on practice to master model selection and tuning. Managing the course alongside personal commitments taught him discipline and prioritization — skills that became his biggest strengths in interviews.

Interview Preparation Intensive

Mock Interviews

Completed 12+ technical mock interviews with industry mentors, sharpening problem-solving and ML fundamentals.

Resume Workshops

Refined portfolio and resume to highlight measurable impact and project outcomes.

Soft Skills Training

Practiced the STAR method for behavioral rounds, ensuring clear and confident communication.

Interview & Placement Process

1

Online Assessment

Cleared a 90-minute test covering Python, statistics, and ML fundamentals.

2

Technical Round

Live coding session on data manipulation, algorithm implementation, and model evaluation.

3

Case Study

Presented a full data science solution for a business problem, showcasing analytical and communication skills.

4

Managerial

Final discussion on behavioral questions, culture fit, and career goals.

The Offer

Infosys

Data Scientist

Joining Infosys as a Data Scientist, working on enterprise-scale analytics and machine learning solutions for global clients.

Trajectory: The Ascent

Shahid's compensation growth from his early roles to his current Data Scientist position, highlighting the 6.0 LPA leap after completing the program.

From Learner to Data Scientist

  • 1.2 LPA — Internship
  • 1.8 LPA — Junior Analyst
  • 3.5 LPA — Post-Training
  • 4.8 LPA — Associate Data Scientist
  • 6.0 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

"Shahid's dedication and his ability to translate data into business insights made him stand out. He didn't just learn algorithms — he understood how to apply them to real problems. His consistency and curiosity made him a perfect fit for a role at Infosys."

- Training Team

"Consistency and daily practice were my biggest strengths. The program pushed me, but showing up every day and trusting the process changed my career forever."

- Shahid

THE DREAM ACHIEVED

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