Nandan Choudhary

Data Scientist

Bengaluru, Karnataka, India4 yrs 7 mos experience

Most Likely To SwitchAI ML Practitioner

Key Highlights

Achieved 95% model accuracy across multiple projects.
Automated data extraction, reducing manual effort by 30%.
Led inter-college competition, enhancing engagement in analytics.

Stackforce AI infers this person is a Data Scientist with expertise in Fintech and Healthcare analytics.

Contact

Skills

Core Skills

Data ScienceMachine LearningData Analysis

Other Skills

AWSAWS SageMakerAmazon Web Services (AWS)Cascading Style Sheets (CSS)Classification ModelsData AnonymizationData ClassificationData ExtractionData PipelinesData PrivacyData VisualizationData WarehousingDecision SciencesDjangoEDA

About

As a Data Scientist at NatWest Group, I leverage my skills in data science, machine learning, and AWS to optimize propensity models, automate data extraction, and enhance model monitoring. I have successfully managed 900+ feature datasets, boosted targeting precision, and ensured 95% model accuracy. I have also automated Teradata data extraction, reducing manual effort by 30% and cutting retrieval times by 40%. In addition to my professional experience, I am passionate about sharing my knowledge and inspiring others in the field of data science. I have led an inter-college competition, Vishalekshi, which attracted X+ participants and secured sponsorships. I have also driven thought leadership in analytics by crafting engaging LinkedIn posts on emerging trends, case studies, and real-world applications. I hold an MBA in IT and Finance from IIT Roorkee and an Engineer's Degree in CSE from VTU. I am always eager to learn new technologies and apply them to solve real-world problems.

Experience

Natwest group

2 roles

Data Scientist (Climate Data & Technology)

Jul 2025 – Present · 8 mos · Bengaluru, Karnataka, India · Hybrid

Data Scientist (Wealth Data & Analytics)

Jun 2023 – Present · 2 yrs 9 mos · Bengaluru, Karnataka, India · Hybrid

🔹 Optimized 7+ propensity models for Retail Digital Assist & Online Invest, managing 900+ feature datasets, boosting targeting precision, and ensuring 95% model accuracy (and yeah not overfitting).
🔹 Automated Teradata data extraction, reducing manual effort by 30% and cutting retrieval times by 40%, enabling faster, real-time insights for business decisions.
🔹 Enhanced ML monitoring & retraining for 7+ models using SAS, maintaining top-tier performance and ensuring compliance with 100% data integrity standards.
🔹 Strengthened data pipelines in collaboration with engineers, achieving a 15% reduction in data loss, improving data consistency, and enhancing model reliability.
🔹 Authored end-to-end model documentation for Model Risk Assessments, ensuring 100% compliance with regulatory standards, streamlining audit processes, and reducing review cycles.
🔹 Developed Python-based data anonymization scripts to safeguard sensitive information, reinforcing privacy compliance and data security.
🔹 Collaborated with cross-functional teams (Marketing, Engineering, and Business Analysts) to align AI-driven solutions with business goals, enhancing customer engagement strategies.
🔹 Spearheaded efficiency improvements, leveraging AWS SageMaker, Comet ML, and Python to refine model tracking, deployment, and evaluation, accelerating production timelines.

Data ScienceMachine LearningAWSSASPythonData Extraction+4

Hdfc bank

Data Analyst

May 2022 – Jun 2022 · 1 mo · India · Remote

🔹 Built and deployed classification models (Random Forest & SVM) across 5 datasets, achieving 95%+ accuracy and enhancing predictive capabilities for business insights.
🔹 Uncovered hidden trends through Exploratory Data Analysis (EDA) on two app datasets, identifying key customer behavior patterns to optimize banking services.
🔹 Transformed complex data into insights by developing interactive visualization dashboards using Plotly, making analytics more accessible to stakeholders.
🔹 Developed LSTM models for load prediction across three datasets, improving forecasting accuracy and optimizing resource allocation.

Data AnalysisExploratory Data AnalysisClassification ModelsData Visualization

Centre for railway information systems (cris)

Data Analyst

Dec 2021 – Jan 2022 · 1 mo · India · Remote

🔹 Developed a machine learning model to predict railway track fractures, achieving 70% accuracy, helping enhance safety measures and preventive maintenance strategies.
🔹 Performed in-depth Exploratory Data Analysis (EDA) on railway track data, uncovering seasonal trends and key factors contributing to track failures.
🔹 Strengthened data privacy by developing a Python-based anonymization script, ensuring sensitive railway data remained secure while retaining analytical value.
🔹 Aligned AI solutions with real-world needs by collaborating with the data science team and railway board, ensuring models addressed key operational challenges.

Machine LearningData AnalysisData Privacy

Doms, iit roorkee

Student Coordinator at BMA Club at DoMS, IIT Roorkee

Jul 2021 – May 2023 · 1 yr 10 mos · Uttarakhand, India · Hybrid

🔹 Led Vishalekshi, an inter-college competition hosted on Unstop (formerly Dare to Compete), attracting X+ participants and securing sponsorships to enhance the event’s reach and impact.
🔹 Drove thought leadership in analytics by crafting engaging LinkedIn posts on emerging trends, case studies, and real-world applications, sparking discussions among students and professionals.
🔹 Bridged the knowledge gap by organizing hands-on analytics sessions for batchmates and juniors, simplifying data science concepts, tools, and industry use cases, and inspiring more students to dive into the field.

Determinant studios

Machine Learning Intern

Jan 2019 – Feb 2019 · 1 mo · Bangalore Urban, Karnataka, India · On-site

🔹 Built an AI-powered healthcare query system using machine learning algorithms, enabling faster and more accurate responses to patient inquiries.
🔹 Designed and developed the front-end for a patient-doctor web application, improving user experience and accessibility.
🔹 Integrated databases with the front-end using Django framework, ensuring seamless data flow and system efficiency.
🔹 Authored research reports on Data Science, AI, and ML methodologies, documenting key insights and innovations in the healthcare domain.

Machine LearningWeb DevelopmentData Science