Aishwarya B. — AI Researcher

I am a Senior Data Science & Machine Learning Professional with 8+ years of experience, transforming complex financial and market data into scalable, insight-driven solutions & models that enhance risk management, compliance, and business strategy. My career journey has taken me from building enterprise-grade data pipelines and optimising big data platforms, to designing machine learning models, heuristic algorithms and market analytics in FinTech. Core Strengths & Technical Expertise: • Trade Surveillance & Risk Analytics: Model design for fraud detection, suspicious trade identification, and compliance monitoring • Anomaly Detection & Heuristics: Building intelligent systems to flag unusual patterns and mitigate operational & market risks • Data Engineering Foundations: ETL design, distributed data processing, and scalable pipeline orchestration (Airflow, Spark) • Machine Learning & AI: Predictive modeling, feature engineering, ML experimentation, and growing expertise in MLOps & Generative AI • Tools & Tech: Python, PySpark, SQL, Kafka, Hive, Tableau, Scikit-learn, PyTorch, Keras, Azure, AWS How I Work: • Impact-Oriented: Transforming raw financial data into actionable intelligence that drives compliance, strategy, and revenue growth • Strategic & Calm: Designing resilient solutions under high-pressure regulatory timelines • Collaborative: Thriving in cross-functional environments, aligning business, risk, and technology stakeholders • Growth-Minded: Continuously learning — expanding into cloud-native ML pipelines, MLOps, and generative AI for scalable solutions Outside of work, I’m passionate about FinTech innovation, AI ethics, and space exploration — and always ready for insightful discussions about the future of finance and intelligent systems. 💬 Let’s connect if you’re exploring AI-powered solutions or next-generation Machine Learning platforms.

Stackforce AI infers this person is a Fintech Data Scientist with strong expertise in Machine Learning and Data Engineering.

Location: Pune, Maharashtra, India

Experience: 9 yrs 2 mos