Anirudh Parsi
AI & Data Scientist |ML, DL, NLP & Generative AI | Expert in Python, SQL, Azure, AWS | Building Scalable Data Pipelines & Real-Time Predictive Models | Microsoft Azure Data Scientist Associate
- Role
- Data Scientist Specialist at Verizon
- Location
- Bloomington, IL, US
- LinkedIn followers
- 500 followers
About Anirudh Parsi
I am a Data Scientist & AI Specialist with over 5 years of experience in Machine…
Experience
Data Scientist Specialist
May 2024 — Present · Boston, MA, US
As a Data Scientist Specialist, I have leveraged Machine Learning, AI, and Advanced Analytics to drive business intelligence, enhance customer retention, detect fraud, and optimize mobile plans. My expertise lies in building data-driven solutions, developing predictive models, and implementing AI-powered automation to improve operational efficiency. Customer Analytics & Churn ReductionConducted customer data analysis to identify churn patterns, detect fraud, and improve engagement using Python, Pandas, NumPy, and SQL, enabling insights-driven decision-making.Developed ML models (Logistic Regression, Random Forest, XGBoost, Neural Networks) to predict churn, enhancing risk assessment and improving customer retention by 25%.Built a customer segmentation model using K-Means & DBSCAN, identifying high-risk groups and enabling personalized marketing strategies based on predictive analytics. AI & GenAI SolutionsDesigned and deployed a GPT-powered GenAI chatbot using LangChain & OpenAI API, automating 80% of customer queries and significantly reducing support workload.Applied advanced statistical analysis to large datasets, improving trend prediction accuracy and enabling data-driven decision-making.Integrated Azure AI Studio for end-to-end AI model training, real-time data processing, and predictive analytics. Fraud Detection & SecurityDeveloped real-time fraud detection models using Anomaly Detection (Isolation Forest, Autoencoders), reducing fraudulent activities by 30% and enhancing transaction monitoring.Designed scalable RESTful APIs for customer data analytics, enabling real-time insights and seamless system integration. Big Data, Dashboards & CollaborationManaged large-scale datasets with financial insights, driving business intelligence and process optimization.Created interactive dashboards in Power BI, allowing stakeholders to monitor churn trends and customer behavior.Led cross-functional Agile teams
Education
New England College
Master's degree, Data science and engineering
KL University
Bachelor's degree, Computer Science
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