MANAN SINGH
Analyst
Jaipur
Summary
Engineering graduate from BITS Pilani with professional experience in healthcare and patient analytics at IQVIA, a Fortune 500 healthcare analytics company. Skilled in SQL, SAS, Excel, Power BI, Python, and data visualization with experience in creating analytical reports, market insights, and client-facing presentations for global clients. Strong interest in analytics, consulting, and data-driven problem solving, with experience supporting strategic business decisions through reporting, trend analysis, and market intelligence initiatives.
Overview
2025
2025
years of professional experience
1
1
Certification
Work History
Analyst — Patient Analytics Team
IQVIA
- Full-Time | 8 Months
- Worked within the Patient Analytics team for the Italy market, supporting analytics and reporting requirements for 10+ global healthcare and consumer clients .
- Utilized SAS and Excel to analyze patient and market datasets across Italy and its regional submarkets, improving reporting efficiency by approximately 20%
- Created client-facing PowerPoint presentations and analytical reports to support strategic business insights and market analysis initiatives
- Developed pivot tables, charts, and data visualizations in Excel for inclusion in commercial and healthcare analytics reports
- Implemented SAS-based reporting workflows and Python scripts for automated report generation and data processing activities.
- Partnered with cross-functional analytics teams to provide precise market intelligence and data-driven insights within reporting timelines.
Commercial Analytics Solutions
- Conducted longitudinal brand performance analysis using pharmacy sales datasets, tracking product growth, competitor performance, and market trends over time. Utilized projected market estimates and data visualization techniques to identify performance spikes, declines, and emerging market opportunities in the Italy Region divided in over 20 brick level regions
- Performed trade allocation and regional sales optimization studies by analyzing pharmacy-level sales data across multiple geographic regions within Italy. Generated insights on product demand distribution and recommended inventory allocation strategies to improve commercial performance
Customer Segmentation Using PMR Data
- Developed customer segmentation frameworks to distinguish new, repeat, multi-product, and inactive customers using SAS code , providing actionable insights into customer lifecycle behavior and commercial growth opportunities.
- Supported large-scale market landscape assessments across multiple consumer health submarkets, benchmarking client products against leading competitors based on revenue, market share, and category rankings and others as the major KPIs. Identified key drivers of market share gains and losses through trend and seasonality analysis.
Data Engineer Intern
AU Small Finance Bank Ltd.
08.2024 - 12.2024
- Managed customer banking datasets using SQL-based extraction queries
- Generated loan penetration reports across demographic and regional segments
- Supported RTGS and NEFT transaction validation processes
- Utilized SQL and Power BI for reporting and analytics
Education
B.E. (Hons.) - Civil Engineering
BITS Pilani - Pilani Campus
01-2025
Class XII - CBSE
St Edmund's School Jaipur
01-2020
Class X - CBSE
St Xavier's Sr. Secondary School
01-2018
Skills
- Excel
- SQL
- Python
- Power BI
- SAS
- Pivot Tables
- AI/ML Modelling
Projects
• Visualized decision tree structures for classification analysis and interpretability • Performed feature scaling, preprocessing, and model evaluation using Python libraries
Decision Tree Classification on Iris Dataset | Python, Scikit-learn
• Developed a Decision Tree Classification model using Python and Scikit-learn to classify Iris flower species
• Performed data preprocessing and train-test splitting for model evaluation
• Evaluated model performance using confusion matrix and accuracy metrics achieving ~94% accuracy
Logistic Regression for Purchase Prediction | Python, Predictive Analytics
• Built a predictive analytics model using Logistic Regression to classify customer purchase behavior
• Visualized customer data and logistic regression decision boundaries using Matplotlib
• Achieved approximately 92.5% prediction accuracy
Certification
Python for AI/ML and Deep Learning — IIT Kanpur
AWARDS & RECOGNITIONS
Achieved position in the top 0.1% merit in one subject in CBSE Class XII Board Exams, Qualified national-level engineering entrance examinations including JEE Mains (Top 5 percentile), JEE Advanced (Top 2% of engineering aspirants), and BITSAT
Timeline
Data Engineer Intern
AU Small Finance Bank Ltd.
08.2024 - 12.2024
Class X - CBSE
St Xavier's Sr. Secondary School
Analyst — Patient Analytics Team
IQVIA
B.E. (Hons.) - Civil Engineering
BITS Pilani - Pilani Campus
Class XII - CBSE
St Edmund's School Jaipur