Open to opportunities

I help logistics and supply chain teams predict delays
cut costs, and make faster decisions —
using Python, SQL, and Power BI.

I'm Nnaemeka Destine Dike — Supply Chain & Logistics Data Analyst · 3 Years Experience · 20+ Projects Delivered.

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20+ Projects Delivered
15+ Clients Served
2.4M+ Rows Processed
40% Reporting Time Saved
+24% Growth
2.4M Rows
Nnaemeka Destine Dike Photo
Lagos, Nigeria

About Me

I'm Nnaemeka Destine Dike — a Data Analyst specializing in supply chain operations, logistics analytics, and financial intelligence.
Over the past 3 years, I've helped operations teams and businesses stop making expensive decisions from gut feel.

I build the dashboards, pipelines, and predictive models that surface what's actually happening — and what to do about it. My deepest experience is in logistics delay prediction, fleet performance analytics, and supply chain KPI reporting. I've worked across e-commerce, logistics, and finance — processing up to 2.4M rows of data and delivering insights that reduce reporting time by 40% and improve decision quality for the teams I work with.

My toolkit: Python · SQL · Power BI · Tableau · Excel/DAX My approach: Ask the right question first. Then touch the data.

B.Tech. Chemistry Federal University of Technology,Owerri, 2020
Google Data Analytics Professional Certificate
Data Expert Top 8% globally

Featured Work

Projects that
made impacts.

Sales Performance Analysis Dashboard Screenshot
Multi-Model ML Pipeline 3 Root Delay Drivers Identified Pre-Departure Risk Scoring

Smart-Logistics-Analytics-End-to-End-Data-Analysis-Prediction

Built an end-to-end analytics pipeline on 1,000 shipment records to identify why deliveries fail and predict which ones will — before they leave the warehouse. Identified traffic congestion, excess waiting time, and underperforming assets as the top 3 delay drivers through root cause analysis. Built classification models to flag high-risk shipments pre-departure and regression models to estimate delay duration for operational planning.

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Fleet Management Analytics Dashboard Screenshot
$2.72M in Costs Tracked 722K KM Fleet Data Driver Cost Outliers Identified

Fleet-Management-Analytics-Dashboard-Power-BI

Consolidated fleet operations data ($2M+ in fix costs, $550K in fuel costs, 722K KM traveled) into a single Power BI dashboard tracking vehicle usage, fuel efficiency, maintenance spend, and driver performance. Uncovered that reactive fix costs ($2M) dwarfed planned maintenance ($171K) — a systemic over-reliance on emergency repairs. Identified fuel efficiency variability across drivers with identical KM outputs, enabling targeted driver coaching and routing optimization..

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Petrol Market Analytics Dashboard Screenshot
181 Countries Analysed Regression + Clustering Models Supply Chain Cost Insights

Global Petrol Market Analytics

Performed EDA across 181 countries to model global fuel price behaviour using Linear, Polynomial, and Multi-variable Regression with K-Means clustering to segment markets by pricing and consumption patterns. Key finding: single-variable models show low predictive power for fuel prices — economic drivers (subsidies, taxation, domestic production) require multi-factor modelling. Directly applicable to supply chain cost forecasting for energy-exposed businesses..

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Optimizing Sales Performance Analysis Dashboard Screenshot
$105.4M Revenue Tracked +16.12% YoY Growth Analysed Star Schema Data Model

Optimizing E-Commerce Sales through Analytics

Designed an interactive Excel dashboard tracking $105.4M in revenue, +16.12% YoY growth, and 6M units sold — with time-series seasonality analysis and customer segmentation. Built on a star-schema Power Pivot model with DAX measures for unit pricing, customer contribution, and YoY metrics. Identified top regions driving disproportionate revenue share, enabling targeted resource allocation decisions..

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Sales Performance Analysis Dashboard Screenshot
Excel DAX Pivot Table

Sales Performance Analysis (2023 vs 2024)

This project presents a comprehensive Sales Performance Analysis comparing business outcomes between 2023 and 2024. The analysis evaluates revenue growth, profitability, cost efficiency, regional performance, and product-level contributions using an interactive dashboard. The objective is to demonstrate how data-driven insights can support strategic decision-making, operational efficiency, and sustainable business growth..

94% Accuracy
30% YOY Growth
899 Units Sold
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Expertise

Tools of my
trade.

Languages

Python92%
SQL88%
R70%

Visualization

Power BI90%
Tableau82%
Plotly / Dash78%

Machine Learning

Scikit-learn85%
XGBoost / LightGBM80%
Time Series (Prophet)75%

Data & Cloud

PostgreSQL / MySQL88%
BigQuery / Snowflake72%
dbt / Airflow65%
Also familiar with
Excel / SheetsGit & GitHubJupyter VS CodePandasNumPy MatplotlibSeabornDocker

Work With Me

Clear deliverables.
No ambiguity.

Start here

Data Audit & Roadmap

I review your current data, reporting, and processes — and hand you a prioritised list of exactly what to fix and how. No implementation, just clarity.

  • 1-hour discovery call
  • Full data & reporting audit
  • Written recommendations report
  • Delivered in 5 business days
Most requested

Custom Dashboard Build

A fully interactive Power BI or Tableau dashboard built from your data — designed around the decisions you actually need to make.

  • Up to 3 report pages
  • KPI design & DAX measures
  • Data cleaning & modelling
  • 1 round of revisions
  • Delivered in 7–10 business days
Ongoing

Monthly Analytics Retainer

Ongoing analytical support — reporting, dashboards, and insights on demand. Your data team, without the full-time hire.

  • Weekly reporting
  • Monthly insights summary
  • Ad hoc analysis (up to 10 hrs/mo)
  • Direct Slack/WhatsApp channel
  • Rolling monthly contract
Not sure which one fits? Book a free 20-minute call and we'll figure it out together.

Tell me about your project

I'll reply within 24 hours with availability and next steps.

Thanks — that's in my inbox now. I'll follow up within 24 hours.

Get In Touch

Let's work
together.

Whether you have a data challenge, a project idea, or just want to connect — my inbox is always open.

Thanks! I'll get back to you soon.