Open to Work — Bay Area, CA

Naveen
Vijayakumar

Data Analyst • BI Analyst • AI/ML Engineer
MS Analytics (Applied Machine Intelligence) · Northeastern University ’26
Turning data into decisions with 8+ years of enterprise experience.

SQL & Python XGBoost · SHAP · XAI Tableau · Power BI Risk Analytics REST APIs · ETL Northeastern ’26
Naveen Vijayakumar
8+
Years Exp.
6
ML Projects
Best Analyst
577:1
Imbalance
MS
Analytics ’26
SF
Bay Area
About Me

Bridging Data Intelligence
with Real Business Impact

I’m a Technical Analytics professional completing my Master’s in Analytics (Applied Machine Intelligence) at Northeastern University, graduating in 2026. With over 8 years of enterprise experience, I specialize in turning complex datasets into clear, actionable insights.

My background spans ML pipeline development (XGBoost, SMOTE, SHAP), enterprise data integration, KPI/KRI framework design, and BI dashboard creation across Tableau, Power BI, and Looker Studio. I’ve worked with Fortune-level clients and built analytics infrastructure from the ground up.

Actively targeting Data Analyst and Business Intelligence Analyst roles in the San Francisco Bay Area.

Data & Analytics
SQL / NoSQLPythonPandas · NumPyETL PipelinesEDAData Quality
Machine Learning & AI
XGBoostSHAP / XAIScikit-learnSMOTENLP (NLTK)Time SeriesRegression
BI & Visualization
TableauPower BILooker StudioRMatplotlib
Platforms & Tools
REST APIsSalesforceJiraGitHyland OnBase
Career Timeline

Professional Experience

Cloud Analyst — Technical Solutions & Data Integration
Foundever · Hyland OnBase
Aug 2023 – Aug 2024
  • Primary technical consultant for enterprise-scale Hyland OnBase integrations for Fortune-level clients.
  • Administered and optimized complex data pipelines; conducted data-quality audits and guaranteed downstream reporting accuracy.
  • Automated recurring validation workflows in Python, reducing manual processing by ~30%.
  • Partnered cross-functionally to develop scalable analytics-driven solutions and guide clients through migrations.
🏆 Overall Best Analyst 2023–2024 · 4× Best Analyst Award
Subject Matter Expert — Technical Support & Analytics
Concentrix · Roku
Sep 2021 – Aug 2023
  • Conducted EDA on large support-ticket datasets to identify systemic failure patterns feeding directly into product improvements.
  • Built KPI reporting frameworks and self-service dashboards from scratch, giving non-technical stakeholders weekly visibility.
  • Diagnosed complex product integration issues across hundreds of weekly cases for a major streaming platform.
Customer Service Agent
Emirates Airlines
Mar 2019 – Mar 2021
  • Managed real-time operational data entry and validation in a high-volume international environment.
  • Identified workflow friction points and contributed to process improvements that reduced handling time.
Banking Supervisor
GM Associates
Jan 2018 – Mar 2019
  • Supervised financial transaction processing and reconciliations with zero audit exceptions.
  • Analyzed patterns to eliminate bottlenecks and improve team throughput.
Selected Work

Featured Projects

🛡
2025
Credit Card Fraud Detection
End-to-end ML pipeline on a severely imbalanced dataset (577:1 class ratio). Built explainable AI outputs for non-technical stakeholders using SHAP.
Solved 577:1 class imbalance with SMOTE oversampling
SHAP feature importance for model explainability
XGBoost with precision/recall optimization
PythonXGBoostSMOTESHAPScikit-learn
📊
2026
ROSA Impact & Financial Analytics
Integrated analytics framework for a global nonprofit measuring educational impact, financial resilience, and cost efficiency across 180 participants and 4 regions.
EDA: pre/post competency distributions, correlation matrix
Regression modeling: skill gain → classroom integration
KPI dashboard with regional & cohort breakdowns
Rggplot2RegressionEDAKPI Design
2026
Enterprise Risk Management — AI Cybersecurity
Full ERM assessment for a fictitious Microsoft AI-cybersecurity acquisition. Quantified $26.25M expected annual loss for AI model failure using I&W monitoring.
KRI framework with trigger thresholds (COSO/CRISP-DM)
Scenario analytics: 3-scenario downside comparison
Qualitative risk heatmap + expected-loss model
RCOSO ERMScenario AnalyticsKRI/KPI
🚚
2026
UPS ORION AI System Analysis
Deep-dive case study of UPS’s ORION route optimization system — analyzing barriers and proposing XAI + human-in-the-loop design improvements.
XAI pipeline design for route optimization decisions
Human-in-the-loop & continuous governance recommendations
$300M savings, 100k ton CO² reduction impact analysis
XAIOperations ResearchAI GovernanceR
🚀
2025
Founder Success Prediction
Python ML models trained on LinkedIn/Crunchbase data to predict startup founder success probability — with BI dashboards for VC decision support.
Feature engineering on LinkedIn & Crunchbase profiles
BI dashboards for VC partner decision support
Classification models with interpretable outputs
PythonScikit-learnTableauFeature Eng.
🌿
2024
ESG Framework for AI Startups
Designed a scoring framework and Tableau dashboards for ESG compliance aligned with EU AI Act, SASB standards, and NIST risk guidelines.
EU AI Act & SASB-aligned scoring rubric
Tableau dashboards for investor & compliance teams
NIST risk framework integration
TableauEU AI ActSASBNIST
Education & Recognition

Academic Background

🎓
MS — Analytics (Applied Machine Intelligence)
Northeastern University · College of Professional Studies
Boston, MA · Expected 2026
Machine Learning, Risk Management Analytics, AI System Technologies, NLP, Time Series Forecasting, Applied AI, ERM Analytics
📡
BS — Electronics Media
Hindustan College
2016
Foundation in media systems, communication technology, and signal processing.
🏆Overall Best Analyst 2023–24 · Foundever
4× Best Analyst Award · Foundever
🎯Zero Audit Exceptions · GM Associates
International Operations · Emirates Airlines

Ready to Build Something Great?

I’m actively seeking Data Analyst & BI Analyst roles in the SF Bay Area. Let’s talk.