Aravind (Sasi nair) P.
AI – Data Specialist
Experience
Aug 2024 - Present
1 year 5 monthsAI – Data Specialist
Emirates Islamic Bank
- Architected and deployed LLM based AI Agents, RAG pipelines, and vector search solutions for decision support across retail banking department
- Developed and shipped robust AI pipelines with guardrails, error handling, monitoring, and fallback logic ensuring high reliability outcomes and compliance with data privacy
- Developed and deployed ML models to identify transactional anomalies, improving fraud detection and risk assessment in high-volume datasets for credit risk modelling
- Built, evaluated and fine-tuned ML models to generate propensity scores for customers which was used to drive personalized targeting campaigns for credit cards and personal finance/loan products
- Developed an NLP pipeline using BERT embeddings and spaCy NER for SMS/email analysis and customer query logs
- Trained machine learning models using Isolation Forest to classify user behaviour and detect anomalies
- Extracted, cleaned, enriched and feature engineered datasets from different sources to build feature stores that powered ML model training
- Led development of dashboards using Power BI, Grafana, and Prometheus to monitor model performances, KPI trends, and marketing metrics
- Built multi-touch attribution models using logistic regression and time-decay weights to evaluate lead quality
- Developed scalable ETL pipelines from CRM, T24, SAP, and ERP, supporting millions of monthly transactions
- Integrated testing and CI/CD workflows for robust data pipeline deployment
Aug 2022 - Aug 2024
2 years 1 monthSenior Data Specialist (AI/ML)
Flipkart
- Built and deployed reinforcement learning ad personalization system using K-Means clustering, XGBoost, and collaborative filtering via Azure ML; monitored via A/B tests achieving measurable engagement uplift
- Trained XGBoost model via Azure ML for geo-targeted campaigns; integrated with marketing platforms and monitored performance against campaign KPIs
- Deployed BERT-based classifier via Azure Functions; orchestrated bi-weekly retraining on Databricks and integrated with Elasticsearch for product catalog updates
- Extracted, cleaned, and visualized data from multiple sources to curate high-quality datasets for machine learning models; evaluated, fine-tuned, and deployed these models using Azure or internal hosting solutions
- Translated marketing and product team requirements into ML solutions; communicated complex model behavior in business terms to non-technical stakeholders
- Analyzed 50M+ row datasets using PySpark and SQL for near real-time decision support; built scalable data pipelines supporting analytics and ML feature stores
- Improved push notification click-through rate by 11% by analyzing heatmap data and optimizing key landing pages
Feb 2022 - Aug 2022
7 monthsAnalyst
Muvin
- Mentored developers and employees on ML and automation technologies; created high-value proofs of concept and minimum viable products
- Designed and deployed a custom ML model for feedback text analysis; integrated as a reusable AI component across projects
- Developed, implemented, and optimized ETL data pipelines to process and integrate large-scale datasets from diverse sources into centralized platforms
- Deployed Grafana and Prometheus for real-time monitoring of Azure infrastructure; enhanced system reliability and performance tracking
Mar 2021 - Sep 2021
7 monthsData Science Intern
Flip Robo
- Designed and implemented A/B experiments to optimize customer retention and loan offerings for a banking client
- Implemented lifecycle automation using Azure ML pipelines for retraining a loan default classifier every two weeks; triggers based on data drift monitored via MLflow
- Worked on real-time fraud detection models on scalable ML infrastructure using containerized workflows via Kubernetes and CI/CD pipelines on AWS SageMaker
- Developed continuous data drift monitoring using MLflow and SageMaker Model Monitor to ensure prediction reliability in production
Jul 2019 - Mar 2021
1 year 9 monthsData Analyst
Swiggy (Bundl Technologies)
- Used a Thompson sampling multi-armed bandit approach in production (Python and Flask API) to dynamically serve push notifications across user segments; achieved a 7% click-through rate uplift over static rules
- Utilized association rule mining on transactional data to identify frequently co-ordered item combinations; analyzed and visualized relationships to inform bundling and cross-selling strategies and monitored their impact on sales and customer engagement
- Scraped competitor pricing daily using Selenium; analyzed price elasticity using regression models in Pandas and Statsmodels; fed results into internal pricing recommendation dashboard in Power BI
- Applied uplift modeling and counterfactual inference techniques to isolate the true effect of personalized promotions and targeted campaigns
- Developed multiple machine learning proofs of concept related to product pricing elasticity and customer segmentation
- Built demand forecasting models to predict order volumes and optimize supply chain logistics
Jul 2018 - Jul 2019
1 year 1 monthConsultant - Freelance
Vrindavan Consultants
- Enabled the team to adopt data-driven scheduling and inventory planning; improved resource utilization by 15%
- Conducted competitor analysis and provided data-backed recommendations for local SEO and marketing spend allocation
- Created a pricing optimization model using Excel and Python to recommend tiered service bundles based on seasonal demand
- Built a Power BI dashboard to track inquiries, service requests, and customer lifetime value across regions
- Improved lead conversion by analyzing customer acquisition data and service patterns
Jul 2017 - Jul 2018
1 year 1 monthAssociate Financial Reporter
Digital Nirvana
- Attained understanding of financial markets and exchanges; worked with finance teams to support quarterly and yearly financial press releases
- Partnered with executives to analyze workflow data; identified bottlenecks and opportunities to improve efficiency; ensured data quality and consistency by implementing monitoring processes and best practices
- Supported data analysis for troubleshooting and report generation; produced daily and quarterly earnings reports for multiple clients using Power BI and SQL
- Automated quarterly earnings report generation using SQL queries and Power BI dashboards for over 10 clients; reduced manual effort and standardized reporting templates
Summary
AI & Data Specialist with 7+ years of experience designing and delivering innovative AI-driven solutions and data products across industries. Skilled in managing end-to-end AI/ML modeling, building automation pipelines, and deploying scalable, real-time AI systems. Expertise in Generative AI, LLMs, and Agentic AI, with a focus on collaborating with cross-functional teams to integrate advanced technologies while ensuring scalability, reliability, and compliance.
Languages
English
AdvancedGerman
ElementaryEducation
Oct 2013 - Jun 2017
CMS College of Engineering and Technology
Bachelors in Engineering, Electronics and Communication · Electronics and Communication · India
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