May 2026
Masters Graduation
Walked across the stage at ASU to receive my Master's degree in Data Science, the culmination of two years of research, hackathons, and building.
Vishal Lakshmi Narayanan
About
My Background and Focus Areas.
I am building my career at the intersection of data science, analytics, and AI product engineering. My work spans business-facing analysis, predictive modeling, semantic search and matching, LLM applications, and the full-stack systems needed to make those ideas usable in practice.
Across my projects, I have worked on funnel analysis, pricing and margin audits, geospatial analytics, tail-risk modeling, resume-job semantic matching, AI agents, and interactive LLM-powered platforms. That range is intentional. I like solving problems where data, product thinking, and engineering all need to come together.
I do not want to be limited to a narrow analyst label. I want to build systems that are technically strong and useful in the real world, whether that means designing a warehouse model, evaluating an ML pipeline, shipping an AI interface, or translating a messy dataset into a decision someone can act on immediately.
Data Science Thinking
I work from problem framing to model evaluation, using statistics, ML, and experimentation to answer questions that matter to the business rather than optimizing for technical novelty alone.
Analytics with Actionability
My analytics work is built around decisions: margin recovery, funnel optimization, risk detection, forecasting direction, and operational clarity for teams that need an answer now.
LLM Product Building
I design and ship LLM-powered systems for planning, simulation, semantic matching, education, and workflow automation, with a focus on useful interfaces and grounded outputs.
End-to-End Execution
I am comfortable moving across SQL, ETL, dashboards, APIs, full-stack apps, and deployment workflows, which lets me take an idea from raw data all the way to a usable product.
Experience
Where I've worked.
Jan 2026 to Present
Project Manager
The AI Society at ASU
Tempe, AZ
- Directing eight teams through a 12-week build cycle focused on computer vision, recommendation engines, and autonomous agent applications.
- Reviewing GitHub activity and Notion updates each week to keep engineering progress, documentation quality, and milestone delivery on track.
- Working with mentors and industry collaborators to keep project scope aligned with practical product expectations and technical feasibility.
Jan 2026 to Mar 2026
Data Science Project Contributor
The Unit of Data Science & Analytics Lab ASU
Tempe, AZ
- Built a transcript ingestion workflow that pulled raw YouTube speech data into a cleaned dataset for immigration narrative analysis.
- Used LDA topic modeling to trace how themes in political messaging shifted across the speech corpus.
- Fine-tuned a DistilBERT-based sentiment pipeline to classify audience response patterns across multiple media contexts.
- Connected FRED economic indicators with sentiment outputs and surfaced a 143% rise in the Migration Fear Index versus its long-run baseline.
Oct 2025 to Feb 2026
Data Engineer
Devlabs
Tempe, AZ
- Built a RAG ingestion pipeline that parsed 670+ resumes and converted unstructured candidate data into dense vector representations.
- Designed a MongoDB Atlas vector store to persist embedded profiles and support scalable retrieval.
- Implemented cosine similarity ranking to return the ten strongest candidate matches in under five seconds.
- Reduced embedding overhead by processing only newly added resumes, which cut repeated compute and API spend.
- Adjusted ranking behavior from founder feedback to make search results more relevant for recruiter decision-making.
May 2023 to Jul 2023
Data Analyst Intern
Amrutanjan HealthCare Ltd.
Chennai, India
- Replaced a manual monthly reporting workflow with Python automation, cutting turnaround time from five hours to roughly forty-five minutes.
- Mapped outlet performance with GeoPandas across 32 retail locations and highlighted seven regions that needed distribution attention.
- Tracked SKU movement trends to expose stock imbalances and support faster coordination with sales and operations teams.
- Presented regional performance patterns to sales leadership to guide territory-level distribution decisions.
- Cleaned and validated raw sales records so downstream reporting stayed consistent and reliable for management review.
Dec 2022 to Jun 2023
Research & Development Intern
Vellore Institute of Technology
Chennai, India
- Partnered on a healthcare innovation initiative with Global Health Research and Innovations in Canada, exploring edge computing and AR/VR for equitable care delivery.
- Assessed whether bandwidth-intensive immersive systems could realistically operate within constrained medical environments.
- Contributed to a published paper in the Dovepress Journal of Multidisciplinary Healthcare on deployment strategies for edge-enabled medical platforms.
Projects
Explore My Featured work.
Project writeups are now grouped by domain. The section opens on Data Analytics and shows one category at a time so each body of work reads as a focused collection instead of a wall of cards.
Active category
Data Analytics
SQL-heavy audits, dashboarding, ETL, and operational decision support.
Margin OptimizationData Analytics
Strategic Price-Point Analysis and Margin Optimization
Margin recovery and waste mitigation within the Dairy category
An automated ETL pipeline to balance revenue recovery with community accessibility, identifying instances of margin erosion and waste accumulation.
Google BigQueryPythonSQLTableauETL
Funnel OptimizationData Analytics
GCP E-Commerce Funnel Optimization
Pinpointing where customers drop off and why
A 5-stage conversion funnel built on BigQuery analyzing 2,300+ user events to surface stage-by-stage drop-offs and inform channel budget allocation.
Google Cloud PlatformBigQuerySQLData Analysis
Geospatial DashboardingData Analytics
Tempe Urban Forest Analytics
Microburst impact assessment and tree risk management
An interactive geospatial dashboard mapping 40,000+ Tempe trees to surface storm-vulnerable corridors, environmental impact, and canopy risk trends.
PythonStreamlitGeoPandasPlotlyPandas
Skills
Data, AI, and Product Engineering.
Languages & Tools
PythonSQLJavaScriptTypeScriptGitGitHubJupyterExcelPostmanREST APIs
AI & ML
Machine LearningPredictive ModelingFeature EngineeringModel EvaluationXGBoostscikit-learnEmbeddingsVector Search ConceptsLLM Prompt EngineeringRAG ConceptsLLM EvaluationAI Agents
Frameworks
PandasNumPyStreamlitNext.jsReactFramer MotionLangChainGeoPandasPlotlyTableauPower BIReact Three Fiber
Data
BigQueryMongoDBPostgreSQLMySQLSupabaseData ModelingETL PipelinesData WarehousingDashboardingKPI Design
Cloud & DevOps
Google Cloud PlatformVercelDockerGitHub ActionsCI/CD ConceptsEnvironment ManagementAPI IntegrationOAuthn8nWorkflow Automation
Analytics & Decisioning
Exploratory Data AnalysisFunnel AnalysisA/B TestingHypothesis TestingRisk AnalysisForecasting ConceptsBusiness IntelligenceStakeholder CommunicationExperiment DesignInsight Storytelling
Gallery
Notable Moments.
A visual walkthrough of hackathon victories, community workshops, and leadership moments that shaped my technical journey.
2026
May 2026
Cognite Presentation
Presented our NPA Digital Twin solution at the Cognite office during the Arizona Nerd Network (AZNN) May meet.
April 2026
Kiro Spark Impact Track Winner
My 8th Hackathon Victory. Won the Impact Track at the Kiro Spark Challenge by building Inference Network, a project focused on making AI more accessible and sustainable.
April 2026
SpaceHack Global Winner
Global Winner and Overall Champion of SpaceHack for Sustainability 2026, competing alongside universities and participants from Paris, the Netherlands, Ecuador, Puerto Rico, and Bulgaria.
April 2026
HackAZona Cognite Track Winner
My 7th Hackathon Victory. Team Tokyo won the HackAZona Cognite Track by building the NPA Digital Twin platform, transforming industrial time-series sensor data into an interactive 3D monitoring environment.
April 2026
Arizona Space Congress
Attended the Space Rising conference at Arizona Space Congress to explore Arizona's growing role in the global space economy and ecosystem.
April 2026
Capstone Presentation
Presented my final capstone project on Predicting Equity-Based Disaster Response and Resource Optimization.
March 2026
DevHacks Change the World
My 4th Hackathon Victory! Built AI Personas that provides reasoning and justification, that purely judges you in a high stake meeting based environment. Gamified experience to stress test human reasoning.
March 2026
HackASU x Claude Builders Club
Participated in the HackASU hackathon with the Claude Builders Club and won the Go Viral, Win Big track sponsored by TamaGrow.
March 2026
Unit of Data Science & Analytics Lab
The closing presentation from my 8-week work with the Unit of Data Science and Analytics Lab, presenting findings from an NLP analysis on topic shifts and public sentiment around the 2026 State of the Union.
February 2026
AI Summit 2026
The largest-scale AI event organized by the ASU AI Society, where I successfully led the information desk management.
2025
November 2025
Tech Mentorship
Helped 5 teams architect their hackathon ideas, assisting closely with the technical implementations of LLM-based frameworks.
October 2025
Hacks for Humanity
A hacker event focused entirely on social good—building tools for the community using AI and ensuring its use remains humane.
October 2025
Workshop Lead
Led an intensive technical workshop teaching engineering students how to build and deploy their own personal portfolio websites.
September 2025
DevHacks S2
My 3rd Hackathon Victory! Built an AI video-based educating platform and won 1st place out of 175 participating teams as a solo developer.
March 2025
Hackazona v0.1
Built an agentic framework-based trip planner and won the People's Choice Award. The event was partnered with Microsoft Azure.
