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Data Analyst with 1+ years in Python, SQL & Data Visualization
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Data Analyst with strong expertise in Python, SQL, and data visualization, specializing in transforming raw data into actionable insights. Experienced in building dashboards, automating analysis workflows, and applying statistical and time series models (ARIMA, SARIMAX, Holt-Winters) for forecasting and decision support.
University of Ibadan, Nigeria
B.Eng. Industrial and Production Engineering · Industrial and Production Engineering
N/A – Present
Viathan Engineering
Supply Chain Analyst
October 1, 2025 – Present
India
SME Work
QA Specialist – LLM Quality Evaluation
June 1, 2025 – July 31, 2025
India
SME Work
AI Data Annotator
April 1, 2025 – June 30, 2025
India
New Age Energy Group
Data Analyst
January 1, 2024 – June 30, 2024
India
Time Series Forecasting
January 1, 2026 – June 30, 2026
Developed and implemented advanced time series models including ARIMA, SARIMA, and Holt-Winters to forecast demand patterns and seasonality trends. Performed data preprocessing, stationarity testing (ADF), and feature engineering to improve model performance and reliability. Evaluated and compared model accuracy using metrics such as MAE, RMSE, and MAPE, selecting optimal models based on performance. Generated actionable insights from forecasts to support data-driven decision-making and improve demand planning accuracy.
End-to-End Supply Chain Analytics Project
January 1, 2025 – December 31, 2025
Delivered end-to-end supply chain analytics solution, integrating demand forecasting, inventory optimization, and performance analysis to improve operational efficiency. Leveraged Python (Pandas, NumPy) and SQL for data cleaning, exploratory data analysis (EDA), and predictive modeling, uncovering bottlenecks and driving cost reduction strategies. Developed interactive BI dashboards (Power BI) to monitor KPIs (forecast accuracy, inventory turnover, service level), enabling data-driven decision-making and strategic planning.
PERT & Project Scheduling Analysis
January 1, 2025 – December 31, 2025
Modeled project timelines using PERT/CPM techniques to identify critical paths and optimize task sequencing. Analyzed project risks, slack times, and completion probabilities to support efficient project planning and execution. Developed project schedules and scenario analyses using PERT/CPM models, supporting data-driven decision-making on resource allocation, timeline feasibility, and risk mitigation.
Applied Data Science with Python
University of Michigan
June 1, 2026 – Present
Google Data Analytics Professional Certificate
June 1, 2026 – Present
Data Visualization with Tableau Specialization
University of California, Davis
June 1, 2026 – Present
SQL for Data Science
University of California, Davis
June 1, 2026 – Present
IBM IT Project Manager Professional Certificate
IBM
June 1, 2026 – Present
MITx Supply Chain Management (Audited)
Massachusetts Institute of Technology
June 1, 2026 – Present
Supply Chain Analytics Specialization
Rutgers University
June 1, 2026 – Present
Six Sigma Green Belt Specialization
Kennesaw State University
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's diverse project portfolio, including supply chain analytics, time series forecasting, and PERT analysis, demonstrates a broad interest in data-driven problem-solving. The experience as a Supply Chain Analyst and Data Analyst intern aligns well with the target role. The numerous certifications indicate a strong commitment to continuous learning and professional development, which is a positive cultural fit for growth-oriented environments.
Soft Skills & Operational Fit
The candidate's experience in QA for LLM outputs suggests an attention to detail and ability to provide structured feedback. Collaboration with project leads indicates teamwork and communication skills. The automation of reporting workflows highlights an efficiency-driven mindset. The project descriptions are clear and well-structured, indicating good written communication.