Anit Roslin Paul

Business Development Executive

Los Angeles, California, United States1 yr 4 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Expert in data engineering and analytics.
Proven track record in automating CI/CD processes.
Strong background in machine learning and data science.

Stackforce AI infers this person is a Data Science and DevOps professional with expertise in SaaS solutions.

Contact

anitpaulroslin@gmail.com LinkedIn

Skills

Core Skills

Business IntelligenceData AnalysisDevopsData Science

Other Skills

.NET FrameworkAmazon QuickSightAmazon Web Services (AWS)Applied Machine LearningAutoMLBeautifulSoupBig Data AnalyticsBusiness PlanningC (Programming Language)C#C++CI/CDCascading Style Sheets (CSS)Cloud ComputingClustering

About

I'm a data enthusiast with a deep interest in data engineering, data science, and business analytics. My journey in the tech industry has been driven by a passion for transforming data into actionable insights that drive business growth. I began my career as a Data Scientist at Shopalyst, where I developed my skills in deep learning, working on projects like logo detection and product classification using models such as YOLO. Later, as a DevOps Engineer at IBM on the Watsonx.data Presto team, I focused on automating CI/CD pipelines and optimizing deployments, contributing to the smooth launch and operation of the product. Currently, I’m pursuing an MS in Business Analytics at USC, where I’m expanding my expertise in data-driven decision-making. I’m passionate about turning data into actionable insights and am always open to connecting with professionals who share this passion.

Experience

1 yr 4 mos

Total Experience

1 yr 4 mos

Average Tenure

Current Experience

Amazon web services (aws)

Business Intelligence Engineer

May 2025 – Aug 2025 · 3 mos · Seattle, Washington, United States · On-site

Engineered an analytics platform in collaboration with stakeholders, integrating 15+ dashboards with ML tagging, summarisation, and alerts to deliver faster insights for the AWS sales team, improving decision-making efficiency
Developed clustering and AutoML models to find high-risk product-region segments with 83% accuracy, integrated results into Amazon QuickSight dashboards and delivered recommendations that informed retention and growth strategies

Machine LearningData AnalysisAmazon QuickSightClusteringAutoMLBusiness Intelligence

Usc marshall school of business

Teaching Assistant

Mar 2025 – May 2025 · 2 mos

Grader for GSBA 539 (Business Environment and Leadership) taught by Professor Arif Ansari

Reigate builders

Data Analyst

Aug 2024 – May 2025 · 9 mos · Remote

Developed a Python-based automation framework for daily client follow-ups, integrated with Looker dashboards to provide real-time visibility into inquiry and closure trends, improving staff performance, driving a 30% increase in sales conversion
Designed and implemented a task-tracking and monitoring system with automated alerts, reducing process delays by 25% and saving ~15 staff-hours weekly by improving throughput and resource allocation

Python (Programming Language)LookerData Analysis

Ibm

Software Developer (DevOps)

Apr 2023 – Aug 2024 · 1 yr 4 mos

Automated recurring operational workflows by architecting CI/CD pipelines with Jenkins, applying Groovy, Python, and Bash scripting to accelerate deployments, reduce manual effort, and achieve a 40% uplift in overall engineering productivity
Implemented cron jobs for automated cluster cleanup and configured usage alerts to notify on resource thresholds; resolved high-severity vulnerabilities, enhancing the security and resource utilization of the product by 30%
Coordinated with software architects and product managers to design an Nginx load balancer for high availability of Presto coordinators on Red Hat OpenShift, boosting system availability and reducing downtime by 20%
Collaborated with cross-functional teams to optimize CI/CD pipelines and upgrade strategies for components like Presto, Milvus etc resulting in a 50% improvement in operational efficiency

DockerKubernetesCloud ComputingCI/CDJenkinsDevOps

Shopalyst

Data Scientist

Jul 2021 – Dec 2021 · 5 mos

Developed YOLO-based computer vision models for logo detection and product classification in Shopalyst’s digital commerce platform, enabling brand recognition across online catalogs and ad creatives with 92% accuracy
Leveraged AWS services (EC2, SageMaker, S3) to scale model training and deployment, and built high-performance models using TensorFlow reducing inference latency by 20%, improving customer experience on the product discovery platform

Deep LearningObject DetectionYOLOAmazon Web Services (AWS)TensorFlowData Science

Tarezameen foundation

Data Analyst

May 2021 – Jul 2021 · 2 mos

Implemented an ETL pipeline, utilizing Python (BeautifulSoup) for web data extraction, leveraging Pandas for data transformation and cleaning, and integrating MySQL for data storage, revolutionizing data collection and analysis
Directed a team of 6 to deliver comprehensive insights and visualizations using Tableau, driving data-driven decisions for the non-profit organization. Trained non-technical members in Python to ensure timely delivery

Python (Programming Language)BeautifulSoupPandas (Software)TableauData Analysis