07 / Certifications
Certifications
Credentials that validate my expertise across AI, ML, and data — from foundations to production.
WorldQuant Challenge — Silver Certificate
WorldQuantAwarded for strong performance in WorldQuant's quantitative research challenge — applying data-driven and algorithmic thinking to real financial markets.
Financial Analyst Career Track
365 Financial AnalystFinancial modelling, valuation, and data-driven investment analysis — adding a quantitative finance lens to complement my ML engineering background.
MLOps Specialization
DeepLearning.AI · CourseraBridges the gap between model training and production — CI/CD for ML, data pipelines, model monitoring, and scalable deployment practices.
TensorFlow: Advanced Techniques Specialization
DeepLearning.AI · CourseraGoes beyond standard TensorFlow — custom model architectures, advanced CV pipelines, and performance optimisation for production deployment.
TensorFlow Developer Specialization
DeepLearning.AI · CourseraEnd-to-end deep learning with TensorFlow — building and training neural networks for computer vision, NLP, and time series tasks.
Advanced Analytics Professional Certificate
Google · CourseraAdvanced-level data analytics with Python and statistical modelling — translating complex analysis into decisions that drive measurable outcomes.
Google Data Analytics Professional Certificate
Google · CourseraGoogle's professional data analytics track — data cleaning, SQL, R, and Tableau to turn raw data into clear, actionable insights.
Business Analytics & Digital Media
Indian School of Business · CourseraCovers data-driven decision making, digital marketing analytics, and business strategy — bridging the gap between ML outputs and real business impact.
Machine Learning Specialization
DeepLearning.AI · CourseraAndrew Ng's gold-standard ML curriculum — supervised, unsupervised, and reinforcement learning with a strong focus on real-world application.
Azure AI Fundamentals
MicrosoftValidates core AI and ML concepts on Microsoft Azure — the foundation for deploying AI services in cloud-native production environments.
Azure Data Fundamentals
MicrosoftValidates core data concepts on Azure — relational and non-relational databases, analytics workloads, and cloud data storage fundamentals.