From Classroom to Corporate
Rahul Gupta turned his ambition into achievement with Uncodemy's Data Science program. In just a few months, he mastered Python, machine learning, SQL, and data visualization to land a 3.6 LPA role as a Data Scientist at Amgen Inc, Hyderabad.
Rahul Gupta
Data Scientist
3.6 LPA
Salary Package
60
Days to Hire
Amgen Inc
Global Biotech Leader
Top 10%
Cohort Ranking
The Pivot
Before the Program
- Limited hands-on exposure to programming and data tools.
- Unclear roadmap for entering the data science field.
- Lacked confidence in SQL, Python, and ML concepts.
- No real-world projects or portfolio to showcase.
After the Program
- Strong command of Python, SQL, Pandas, and NumPy.
- Built and deployed end-to-end machine learning models.
- Cracked multiple interview rounds with confidence.
- Landed a full-time Data Scientist role at Amgen Inc.
The Learning Journey Timeline
Phase 1: Building the Base
Started with Python fundamentals, statistics, and SQL. Developed a solid grounding in data handling, cleaning, and exploratory analysis.
Phase 2: Core Data Science
Progressed into machine learning, model evaluation, and data visualization using Matplotlib, Seaborn, and Power BI. Worked on real datasets to build predictive models.
Phase 3: Placement Preparation
Focused on resume building, mock interviews, case study discussions, and live coding practice to become interview-ready for top companies.
Core Tech Stack Mastered
Capstone Project Mastery
Customer Churn Prediction Platform
MACHINE LEARNINGAn end-to-end machine learning solution designed to predict customer churn for a subscription-based business, enabling proactive retention strategies and data-driven decision-making.
Handling imbalanced customer data with missing values and engineering meaningful features that could accurately predict churn risk across different customer segments.
Built a complete data pipeline using Pandas and NumPy, trained Logistic Regression, Random Forest, and XGBoost models, and visualized insights through a Power BI dashboard for business stakeholders.
Performance Scorecard
Overcoming Challenges
Balancing a full-time job with an intensive data science curriculum was Rahul's biggest challenge. He dedicated early mornings and late nights to practice coding and model building. Understanding complex ML algorithms and feature engineering required persistence, but with mentor guidance and consistent effort, he turned every obstacle into a learning milestone.
Interview Preparation Intensive
Mock Interviews
Attended 12+ technical and HR mock interviews, refining problem-solving approaches for Python, SQL, and ML-based questions.
Resume Workshops
Crafted an ATS-friendly resume highlighting project impact, technical skills, and real-world data science outcomes.
Soft Skills Training
Practiced the STAR method and behavioral storytelling to communicate analytical thinking with clarity and confidence.
Interview & Placement Process
Online Assessment
Cleared a timed test covering Python basics, SQL queries, and foundational statistics concepts.
Technical Round
Solved live coding problems on data manipulation, model evaluation, and feature engineering techniques.
Case Study
Presented an end-to-end data science solution for a real business problem, showcasing analytical and communication skills.
Managerial Round
Discussed behavioral questions, cultural fit, and long-term career goals with the hiring manager.
The Offer
Amgen Inc
Data Scientist
Joining the data science team at Amgen Inc, Hyderabad — a global biotechnology leader — to work on data-driven insights, predictive modeling, and analytics solutions that support business and healthcare decisions.
Trajectory: The Ascent
Rahul's compensation growth mapping from his early career steps to his current Data Scientist role at Amgen Inc, highlighting the 3.6 LPA leap after completing the program.
From Learner to Data Scientist
- 1.2 LPA — Entry-Level Support Role
- 1.8 LPA — Junior Analyst
- 2.4 LPA — Data Analyst Trainee
- 3.0 LPA — Associate Analyst
- 3.6 LPA — Data Scientist at Amgen Inc
Trainer & Mentor Team
"Rahul's discipline and hunger to learn set him apart from day one. He didn't just complete assignments — he questioned, explored, and iterated until the results made sense. His ability to blend technical skills with business understanding is exactly what companies look for in a modern data scientist."
- Training Team, Uncodemy
"Uncodemy didn't just teach me data science — it gave me the confidence to call myself a Data Scientist. Every mock interview, every project, every late-night doubt session played a role in this journey."
- Rahul Gupta
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