Vaibhav Arora

AI Researcher

Mississauga, Ontario, Canada3 yrs 6 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Boosted user retention by 15% through data-driven insights.
Improved campaign conversions by 17% via A/B testing.
Expert in building end-to-end ML pipelines and dashboards.

Stackforce AI infers this person is a Data Science professional with expertise in SaaS and AI-driven analytics.

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Skills

Core Skills

Data AnalysisData VisualizationPredictive ModelingBusiness AnalyticsData EngineeringData QualityAutomation

Other Skills

Analytical SkillsCommunicationSQLPython (Pandas)Power BIPythonScikit-LearnMachine LearningPandas / NumPyStatistical Data AnalysisREST APIsGoogle Cloud Platform (GCP)Amazon Web Services (AWS)Docker ProductsApache Spark

About

I help businesses turn raw data into intelligent, scalable AI solutions. With 3.5 years of experience across product analytics and predictive modeling, I’ve delivered measurable business impact—including boosting user retention by 15% and improving campaign conversions by 17% through data-driven experimentation and ML insights. My technical journey spans hands-on Machine Learning (XGBoost, Random Forest, ARIMA forecasting), NLP, LLM prompt engineering, GenAI prototyping, and building end-to-end pipelines using Python, SQL, Spark, and cloud tools. I’ve applied MLOps concepts such as versioning, containerization, CI/CD, and model monitoring across academic + real-world projects. I’ve also delivered interactive dashboards using Tableau and Power BI, enabling stakeholders to make faster, more confident decisions. I’m now looking for Entry-to-Mid Data Scientist or ML Engineer roles where I can contribute to Gen AI initiatives, AI Agent development, predictive analytics, microservices architecture, and enterprise-grade ML application delivery. I thrive in environments where experimentation, analytical depth, and scalable engineering come together to solve complex business problems. I’m open to roles titled Data Scientist, ML Engineer, AI Engineer, and Senior Data Analyst across Canada (hybrid or remote). If you’re hiring or working on exciting AI/ML projects, I’d love to connect. Feel free to reach out—I’m always open to collaborations, technical discussions, and opportunities to contribute to high-impact Data Science teams.

Experience

3 yrs 6 mos

Total Experience

1 yr 9 mos

Average Tenure

Current Experience

Amazon

DA

Sep 2024 – Present · 1 yr 8 mos · Windsor, Ontario, Canada · On-site

Supported last-mile delivery operations, consistently maintaining on-time, accurate deliveries while balancing route priorities and schedules.
Demonstrated reliability and teamwork in a fast-paced environment while completing a Data Analytics postgraduate program, strengthening time-management and process mindset.

G4u security & logistics

Analyst

Jul 2024 – Aug 2024 · 1 mo · Canada · Hybrid

Conducted customer & operations data analysis to identify fraud/theft patterns and operational anomalies.
Built KPI reports in Excel/Google Sheets to monitor incidents and highlight high-risk branches or time windows.
Applied SQL and statistical methods to support security and logistics decisions.

Analytical SkillsCommunication

Coolboots

Data Analyst

Mar 2022 – Jan 2023 · 10 mos · Gurugram, Haryana, India · Remote

Analyzed user behavior using SQL and Python (Pandas) to identify retention drivers; recommendations contributed to a 15% improvement in user engagement.
Built Power BI dashboards to track campaign performance; insights guided marketing actions that improved conversion rates by 55%.
Partnered with marketing on A/B tests and performance deep-dives, increasing campaign ROI by 17% and improving reporting efficiency by 35%.
Supported early predictive modeling and segmentation work (churn / high-value cohorts), laying the foundation for AI-driven optimization.

SQLPython (Pandas)Power BIAnalytical SkillsData AnalysisData Visualization

Globallogic

Data Analyst

May 2019 – Jan 2022 · 2 yrs 8 mos · On-site

On site Google
Processed and validated large-scale product usage datasets to ensure high data quality for analytics and experimentation.
Automated recurring ETL and reporting workflows using SQL and Python, reducing manual reporting time by 20+ hours per month.
Built analytical views and metrics that supported feature performance analysis and prioritization decisions for Google product teams.
Collaborated with cross-functional stakeholders (PMs, analysts, engineers) to turn data findings into clear product recommendations.

SQLPythonAnalytical SkillsCommunicationData AnalysisData Engineering

Google

Associate Research Analyst

Jan 2019 – Mar 2019 · 2 mos

Supported research initiatives by analyzing product usage data and presenting findings to product teams.
Contributed to feature evaluation and prioritization, helping teams understand impact and user behavior trends.

Analytical SkillsCommunication