Open to new roles — Data · BI · Marketing Analytics

Navin Kishore
Ravi Kumar

8+ years turning messy data into decisions. SQL, Python, Power BI, Tableau, Snowflake. I build the metrics your team actually uses.

SQL Python Power BI Tableau Snowflake A/B Testing dbt Databricks
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Analytics that
drives decisions

I'm an analytics professional with experience across marketing analytics, BI reporting, and data pipelines. I've supported growth teams and business stakeholders by building reliable metrics, dashboards, and experimentation workflows.

I focus on three things: measuring impact clearly, reducing ambiguity in data, and helping teams move faster. Clean pipelines and clear KPIs — not just dashboards that get ignored.

I build what gets used. If it doesn't drive a decision, it's not worth shipping.


What I do
Metrics design
Funnel analysis
A/B experiment measurement
Dashboard & BI reporting
Pipeline automation
Looking for

Analytics roles focused on SQL + BI + experimentation, where insights directly drive product or growth decisions.

8+
Years in analytics & marketing ops
Dashboards shipped
SQL
Primary language for data
0
Vanity metrics tolerated

Tools & Stack

Query & Transform
SQL (Postgres, Snowflake)
Python (Pandas, NumPy)
dbt
Databricks
Visualization & BI
Power BI
Tableau
Matplotlib / Seaborn
Plotly
Analytics Methods
A/B Testing & Experimentation
Cohort & Funnel Analysis
Marketing Attribution
KPI & Metrics Design
ML & Optimization
Scikit-learn
Clustering (K-Means, DBSCAN)
Multi-objective optimization
NSGA-II (DEAP)
Infrastructure & Tools
Git & GitHub
Jupyter Notebooks
Excel & Google Sheets
Jira / Confluence
Domain Knowledge
Marketing Analytics
Product Analytics
Revenue & Growth Analytics
Stakeholder Reporting

Selected Projects

// 01
Data Center Expansion Optimizer (India)
ML Clustering Multi-objective Optimization

Multi-objective site selection engine ranking candidate cities using infrastructure signals and tradeoffs.

  • Modeled eligibility constraints + objective scoring (PUE ↓, IXP count ↑, service score ↑, facility age ↓) and extracted Pareto-optimal solutions.
  • Combined Pareto-front outputs with weighted scoring to produce a ranked shortlist for decision-makers.
  • Packaged into a reproducible pipeline: data prep → clustering → gravity scoring → NSGA-II → ranking.
Stack: Python, DEAP (NSGA-II), Pandas, NumPy, Scikit-learn
// 02
Experiment & KPI Monitoring — Automated Scorecards
Experimentation BI Automation

Experiment monitoring pattern that standardizes metrics, cuts manual reporting, and speeds up decision cycles.

  • Defined success metrics + guardrails (conversion rate, revenue impact, churn/returns) and built scorecards for weekly reviews.
  • Automated refresh-ready datasets using SQL + Python transforms to reduce repetitive stakeholder asks.
  • Created a "single source of truth" for experiment readouts: baseline, lift, confidence, and recommendation.
Stack: SQL, Python, Power BI/Tableau, A/B Testing, Data Modeling
// 03
Marketing ROI Pipeline — Campaign Performance
Marketing Analytics Attribution Pipelines

Campaign analytics workflow connecting spend → leads → revenue outcomes to enable faster budget decisions.

  • Integrated campaign + conversion datasets into a clean reporting layer with standardized KPIs: CAC, ROAS, CVR, LTV proxy.
  • Built funnel drop-off and cohort performance views to show what's working and where to iterate.
  • Enabled self-serve reporting with a dashboard-first design and documented metric definitions.
Stack: SQL, Python, Postgres/Snowflake, dbt, Power BI/Tableau

Tableau & BI Work

Live dashboards and BI builds. Replace the placeholder links below with your actual Tableau Public, Power BI, or demo URLs.

📊
Experiment KPI Scorecard
Weekly A/B test readout dashboard. Baseline, lift, confidence interval, and recommendation in one view.
View on Tableau Public ›
📈
Marketing Funnel Performance
Channel-level CAC, ROAS, and conversion rates. Cohort drop-off and spend efficiency by campaign.
View on Tableau Public ›
🗺️
Data Center Site Ranking (India)
Geo visualization of Pareto-optimal city candidates ranked by infrastructure and operational scores.
View on Tableau Public ›

What I've Built

Recent
Analytics Professional
Multiple Organizations — Analytics, BI & Marketing Ops
  • Built KPI dashboards and automated reporting workflows supporting weekly business reviews and leadership updates.
  • Delivered analytics for funnels, cohorts, segmentation, and experimentation across cross-functional teams.
  • Implemented SQL/Python data prep patterns to improve reliability, repeatability, and speed of analysis.
  • Designed metrics frameworks and documentation so stakeholders could self-serve without ambiguity.
Ongoing
Independent Projects
Data Center Optimization · Experiment Automation · Campaign Analytics
  • Built a multi-objective optimization engine for infrastructure site selection using NSGA-II and clustering.
  • Designed standardized experiment reporting patterns used across marketing and product analytics contexts.
  • Developed a marketing ROI pipeline connecting spend to revenue outcomes with self-serve dashboard delivery.

Let's talk

Open to Data Analyst, BI Analyst, Marketing Analytics, and Product Analyst roles. If your team cares about measurement, let's connect.

navinkishoreravikumar@gmail.com
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