Anurag Mallick

AI Engineer @ Black Box

About

Generalist Data Scientist with experience across statistics, predictive analytics, NLP, and applied AI, working at the intersection of data, experimentation, and intelligent systems. I focus on transforming raw data into actionable insights and scalable machine learning solutions.I have developed and deployed models across a broad range of problem settings, spanning classical machine learning, modern NLP, and applied AI systems. I have built production-grade systems, taking solutions from problem scoping and requirement definition through design, development, evaluation, and deployment, with a strong emphasis on reliability, simplicity and real-world performance.My approach blends analytical depth with practical implementation, from experimental design and robust data pipelines to workflow automation and integration to business process. I have hands-on experience with analysis and development using python and building AI applications. Currently, I am pursuing my Master’s in Data Science at Rutgers University and I am looking for opportunities to build impactful data-driven systems.

Country

United States

City

New Brunswick

Industry

Computer Software

Skill

Product Development, System Architecture, Supervised Learning, A/B Testing, Machine Learning, Predictive Analytics, SQL, Agentic AI Development, Retrieval-Augmented Generation (RAG), Agentic Automation, AI Prompting, KPI Reporting, Natural Language Processing (NLP), Microsoft Excel, Communication, Data Analysis, Deep Learning, Python

Experience

AI Engineer

Black Box

2025-1 - Present · 1 yr 9 mos

Plano, TX

Led the scoping, testing, and production-readiness of a RAG chatbot within the Azure framework, primarily focusing on requirement consolidation and pre-release validation. Owned the ongoing maintenance and feature planning to support business-scale usage and adoption. Designed and built a voice AI agent to automate ServiceNow case updates, using Azure Communication Services and a GPT real-time model to capture essential information and update work notes dynamically through a telephonic call.

Senior Data Scientist

Applied Data Finance

2024-5 - 2024-7 · 3 mos

Built Topic Models using BERTopic to segment customer requests. Effectively grouped up to 80% of customer requests into Valid Topics for more efficient resolution.

Data Scientist

Applied Data Finance

2022-10 - 2024-5 · 1 yr 8 mos

Utilized NLP Techniques to analyze and mitigate operational risks across various modes of communication. Developed BOW models to identify risks with 70% precision to make the process efficient. Led the foundation for improved resource management by categorizing and prioritizing cases for manual review, leading to more efficient review and response times. Built a classifier model using customer’s repayment behavior to predict the success rate of payment retries and successfully segmented low-risk accounts, having 37% higher success rate than average.

Junior Data Scientist

Applied Data Finance

2021-9 - 2022-10 · 1 yr 2 mos

Conducted in-depth analysis of returning customers to fix issues in the data and explore trends in disbursal plans. Designed campaigns to engage delinquent customers and used statistical analysis to test the outcomes among various groups and improve collections. Enhanced the Best Time to Call strategy to call customers according to their preferences and call history. Achieved a mean increase of 20% RPCs over six months