FULL STACK .NET DEVELOPER | DATA REPORTING ANALYST PORTFOLIO

ALIU
SUNDAY
ADUKWU

I build scalable web applications and
transform data into actionable business insights.

Aliu Sunday Adukwu
ABOUT ME

Hello,
I'm Sunday!

Full-Stack .NET Developer and Data Reporting Analyst with 6 years of experience building web applications and turning data into decisions. On the software side, I build REST APIs and full-stack applications with C#, ASP.NET Core, Angular, SQL Server and Azure. My query and Entity Framework optimizations cut response time by 30% and support tickets by 35% on a medical application. On the data side, I write SQL, automate reporting, and build Power BI dashboards that replaced manual Excel reports and saved 8+ hours per week. Proficient in C#, .NET, ASP.NET Core, Angular, SQL Server, PostgreSQL, Power BI, Python, Azure, Docker, I work well between technical teams and business stakeholders: I analyze requirements, model data, build the solution, and explain the results clearly to both audiences.

Programming Languages

SQ
SQL
PY
Python
C#
C#
AS
ASP .NET
JA
JavaScript
AN
Angular
RA
RabbitMQ
PR
Prompt Engineering
C+
C++

Data Analytic Tools

MI
Microsoft Excel
GO
Google Sheet
GO
Google BigQuery
VI
Visual Code Studio

Data Visualization Tools

PO
Power BI
TA
Tableau
LO
Looker Studio

Technical Skills

Data Analytic Methods

  • EDA
  • Segmentation / Clustering
  • Cohort
  • Linear Regression
  • Logistic Regression
  • Statistic
  • A/B Testing
  • SQL Analytics
  • Dashboarding & Reporting
  • Performance Metrics Analysis
  • ANOVA
  • Hypothesis Testing

Education & Experience Background

Education

Audencia Business School (France)

Master's degree, Digital Business & Data Management (2027)

Grade: 91 / 100

Pursuing a Master’s degree focused on digital business strategy and data management, with advanced coursework in data analytics, data-driven decision-making, visualization, and the application of analytics to real-world business challenges.

Top IT Academy

Software Development (Distance Learning - 2022)

Grade: 90 / 100

Completed a software development program with a focus on full-stack application development, backend engineering, and database systems. Developed practical skills in C#, .NET, SQL, API development, and software architecture, with hands-on experience building scalable and maintainable solutions.

Southern Federal University (former Rostov State University)

Master's degree, Economics & Law (2019)

Grade: 98 / 100

Completed a Master’s degree with a focus on economics, law, and management principles, including applied training in the banking sector through a structured management trainee program combining academic study with hands-on, on-the-job experience.

Southern Federal University (former Rostov State University)

Bachelor's degree, Economics (2017)

Grade: 97 / 100

Completed a Bachelor’s degree in Economics with a strong foundation in microeconomics, macroeconomics, statistics, and quantitative analysis, developing analytical and problem-solving skills applicable to business and financial contexts.

Experience

Medotrade, Taganrog, Russia

Full Stack .Net Developer

(Full time, Sept 2023 - Dec 2025)

Optimized PostgreSQL queries and indexes in a medical app, cutting response time by 30% and saving 5+ hours per week. Developed features and optimized Entity Framework on an ASP.NET MVC app, reducing load times by 20% and support tickets by 35%. Worked in an Agile team: followed Git workflows (branches, pull requests) and took part in planning meetings. Performed code reviews and testing to ensure reliable deployments and improve code quality.

Fila Energy Service Ltd, Lagos, Nigeria

Data Reporting Analyst

(Full time, Aug 2019 - July 2023)

Wrote and optimized SQL queries to extract and clean operational data, reducing reporting time by 30% and improving data accuracy. Built Power BI dashboards for KPI tracking, replacing manual Excel reports and saving 8+ hours weekly. Automated repetitive SQL/Excel and reporting tasks using macros and scheduled queries, reducing manual effort by 35%.

B1, Rostov-on-Don, Russia

Data Quality Analyst - Internship

(Full time, Sep 2018 - Feb 2019)

Used PostgreSQL, and Excel to check, clean, and model data for quality reporting, cutting analysis time by 15%. Built dashboards and REST APIs that gave teams real-time visibility into data issues and automated routine checks.

Denali Backcountry Lodge, Alaska, USA

Guest Service Agent

(Full time, May 2016 - October 2016)

Resolved customer issues, strengthening problem-solving skills and improving customer satisfaction. Coordinated customer services, developing communication skills and customer relationship management abilities

Notable Projects
01

SKINET ONLINE SHOP – ASP.NET CORE WEB API + ANGULAR

SCALABLE ONLINE STORE BUILT WITH .NET CORE AND ANGULAR

SKINET ONLINE SHOP – ASP.NET CORE WEB API + ANGULAR
SKINET ONLINE SHOP – ASP.NET CORE WEB API + ANGULAR

A production-ready online marketplace built with ASP.NET Core Web API and Angular. Features complete retail functionality including product management, secure payments, user authentication, and order processing. Delivers insights on sales performance, inventory efficiency, and customer behavior to optimize pricing and promotional strategies. Built with scalability, maintainability, and modern development practices.

Tools: ASP.NET Core Web API, Angular, Entity Framework, SQL Server, Azure, Stripe API, Docker, Redis

Analysis: E-commerce Functionality, Sales Analytics, User Behavior Tracking

02

LAGOONSTAY

MODERN HOTEL & VILLA BOOKING PLATFORM WITH SECURE PAYMENTS

LAGOONSTAY
LAGOONSTAY

A scalable hotel and villa booking platform developed using ASP.NET Core and Clean Architecture. The application features secure authentication and role-based access control, enabling users to browse properties, manage reservations, and process payments seamlessly through Stripe integration. Built with a robust backend and optimized database structure, the platform ensures reliability, maintainability, and production-ready performance for hospitality management.

Tools: ASP.NET Core, Entity Framework, SQL Server, Stripe API, ASP.NET Identity, Clean Architecture

Analysis: Reservation Management, Payment Automation, User Authentication & Role-Based Access Control

03

BRAND PERFORMANCE & PROFIT INSIGHTS

DATA-DRIVEN PRICING & PROFITABILITY

BRAND PERFORMANCE & PROFIT INSIGHTS
BRAND PERFORMANCE & PROFIT INSIGHTS

An end-to-end retail performance analysis focused on evaluating brand-level sales, pricing, discounts, and profitability. The dashboard analyzes top and bottom performing brands by profit margin, discount strategy, product variety, and average sales price to identify key drivers of profitability and pricing efficiency. The analysis delivers actionable insights and recommendations to optimize discount strategies, improve margins, and enhance overall brand performance.

Tools: Python (Google Collab), Power BI, SQL (BigQuery)

Analysis: EDA, KPI Analysis, Comparative Brand Analysis

04

INSURANCE CLAIMS & POLICY ANALYTICS

DATA-DRIVEN CLAIMS, POLICY & SATISFACTION ANALYTICS

INSURANCE CLAIMS & POLICY ANALYTICS
INSURANCE CLAIMS & POLICY ANALYTICS

An end-to-end insurance analytics dashboard that evaluates policy performance, claim outcomes, and customer feedback. It highlights claim status, coverage and premium amounts, active vs inactive policies, and sentiment-based satisfaction to identify operational bottlenecks and opportunities to improve claims processing efficiency and customer experience.

Tools: Python (Google Collab), Power BI, Ecxel, SQL (BigQuery)

Analysis: EDA, KPI Analysis

05

STUDENT WELL-BEING & STRESS INSIGHTS

DATA-DRIVEN ACADEMIC & FINANCIAL PRESSURE ANALYSIS

STUDENT WELL-BEING & STRESS INSIGHTS
STUDENT WELL-BEING & STRESS INSIGHTS

An end-to-end student well-being analysis focused on evaluating sleep duration, study hours, satisfaction, academic pressure, and financial stress. The dashboard compares student counts across risk factors to identify patterns linked to potential depression and burnout and supports targeted interventions to improve overall student health and performance.

Tools: Python (Google Collab), Tableau, SQL (BigQuery)

Analysis: EDA, KPI Analysis, Comparative Brand Analysis

06

DIGITAL TRANSACTION PERFORMANCE INSIGHTS

DATA-DRIVEN FEES, VOLUMES & PROFITABILITY

DIGITAL TRANSACTION PERFORMANCE INSIGHTS
DIGITAL TRANSACTION PERFORMANCE INSIGHTS

An end-to-end UPI transaction analysis focused on evaluating city-wise volumes, fees, discounts, and profitability across banks, devices, and customer segments. The dashboard tracks monthly transaction trends, remaining balances, and high-performing city–currency combinations to identify key drivers of profitability and pricing efficiency. The analysis delivers actionable insights and recommendations to refine fee and discount structures, improve margins, and enhance overall digital payment performance.

Tools: Python (Google Collab), Power BI, SQL (BigQuery)

Analysis: EDA, KPI Analysis, Comparative Brand Analysis

For more projects, kindly click the GitHub link below

View More Projects on GitHub