Open to opportunities

LASYA Lalpet Venkata

@lasyalalpetvenkata

Message

Data professional blending business analytics and computer science to drive data-driven decisions.

United States

Message

What I'm looking for

I seek analytics roles where I can build scalable data solutions, influence product/marketing decisions, collaborate cross-functionally, and drive measurable business impact.

I am a data professional with a strong foundation in business analytics and computer science, focused on translating data into actionable business insights. I have driven measurable outcomes — for example, increasing conversion rates through A/B testing and improving AI ecosystem efficiency at Amazon — while building automated dashboards and scalable data pipelines.

I excel at stakeholder collaboration, requirements gathering, and turning analytics into product and marketing decisions. My experience spans predictive modeling, ETL and cloud infrastructure, visualization, and marketing analytics, and I bring a pragmatic, results-oriented approach to analytics projects.

Experience

Work history, roles, and key accomplishments

Current

Business Analyst

Current

Community Dreams Foundation

Aug 2025 - Present (4 months)

Gathered and documented stakeholder requirements, mapped current-to-target workflows to remove bottlenecks, and built weekly KPI reports improving backlog aging, first response time, and resolution rate.

Requirements Gathering Process Mapping KPIs Stakeholder Management Data Analysis Dashboarding Workflow Optimization

Marketing Data Analyst

Gies College of Business

Aug 2024 - Jul 2025 (11 months)

Designed and analyzed A/B tests across 5,000+ user cohorts to increase conversion rates by 11% and retention by 8%, and built automated Tableau and Looker dashboards to inform marketing strategy.

A B Testing GA4 Tableau Looker SQL Data Visualization Funnel Analysis Dashboard Automation

Artificial Intelligence Associate

Amazon

Oct 2023 - Feb 2024 (4 months)

Improved loss prevention efficiency 15% via predictive modeling and anomaly detection, and optimized live video data pipelines to enhance KIVA robotics throughput through cross-team model performance work.

Anomaly Detection Data Pipelines Computer Vision AWS Model Evaluation Cross Functional Collaboration

Data Science Intern

1Stop.ai

Dec 2021 - May 2022 (5 months)

Developed image classification models achieving 92% accuracy using LDA-based feature reduction and cross-validation, and automated preprocessing workflows to cut manual time by 60%.

Python LDA Cross Validation Data Cleaning Validation

Education

Degrees, certifications, and relevant coursework

University of Illinois, Urbana-Champaign

Master of Science, Business Analytics

Grade: 3.7/4.0

Master of Science in Business Analytics with coursework in enterprise database management, business intelligence, consumer analytics, project management, and marketing analytics; earned a 3.7/4.0 GPA and graduated in May 2025.