Ameenuddin Baig

Data Scientist

United States3 yrs 8 mos experience

Key Highlights

Expert in machine learning and advanced analytics.
Proven track record in telecommunications and financial services.
Skilled in deploying scalable data solutions.

Stackforce AI infers this person is a Data Scientist specializing in Telecommunications and Financial Services with expertise in Machine Learning and Advanced Analytics.

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Skills

Core Skills

Machine LearningAdvanced AnalyticsNlpMlopsFraud Detection

Other Skills

ARIMAAWSAWS SageMakerAmazon Web Services (AWS)Apache SparkBERTBig Data AnalyticsBusiness AnalysisData AnalysisData AnalyticsData PipelinesData ScienceData StructuresGeospatial AnalyticsIsolation Forest

About

Data Scientist with 3+ years of proven expertise in telecommunications, insurance, and financial services, expert in machine learning, advanced analytics, and scalable data solutions that drive measurable business impact. Open to collaborations and new opportunities - let's connect to explore how data science can drive your next big breakthrough!

Experience

At&t

Data Scientist

Jan 2025 – Present · 1 yr 2 mos · Remote

Leading advanced analytics initiatives to transform customer experience and network operations at one of the world's largest telecommunications companies. I develop sophisticated machine learning models for customer churn prediction using ensemble methods like Random Forest and XGBoost, while building real-time ETL pipelines with Apache Spark and Kafka. My work includes deploying containerized ML solutions on AWS SageMaker for network anomaly detection and creating production-ready NLP pipelines using transformer models like BERT for customer sentiment analytics.

Machine LearningAdvanced AnalyticsAWSApache SparkKafkaNLP

Fred loya insurance agency

Data Scientist

Jul 2024 – Dec 2024 · 5 mos · El Paso, Texas, United States

Specialised in transforming insurance operations through advanced analytics and machine learning, focusing on fraud detection and claims automation. I developed sophisticated anomaly detection systems using Isolation Forest and One-Class SVM algorithms, while designing data pipelines with Airflow, Spark, and Snowflake. My work included implementing NLP-powered automated claims categorisation using transformer models and building time-series forecasting models with ARIMA and LSTM for premium pricing support.

Machine LearningAdvanced AnalyticsData PipelinesNLPTime-Series Forecasting

Barclays

Data Scientist

Jun 2021 – Jul 2023 · 2 yrs 1 mo · Mumbai, Maharashtra, India

Contributed to global financial risk management and analytics initiatives, developing machine learning models for credit risk assessment using Random Forest and clustering techniques. I designed real-time fraud detection systems using Kafka and Spark Streaming to monitor transactions across multiple global markets. My work included geospatial analytics for ATM network optimisation and implementing MLOps best practices with Docker, Kubernetes, and automated CI/CD pipelines for model deployment.

Machine LearningFraud DetectionGeospatial AnalyticsMLOps