Chioma

Malachy Chidera Ikechukwu
📧 [відкрити контакти](див. вище в блоці «контактна інформація»)
📍 LinkedIn Profile
Date: 10/22/2026
Dear Sir,
I’m writing to express my interest in the Data Scientist role at your organization. With a Computer Science background and deep experience in Python, data analysis, and business intelligence, I bring both the technical skill and business acumen needed to turn raw data into clear decisions.
At Baysuit, I developed and automated dashboards that provided visibility into marketing ROI, customer trends, and product performance. My work in customer segmentation using clustering techniques helped shape more effective targeted campaigns. I’ve also built end-to-end data solutions—cleaning large datasets, performing exploratory analysis, developing predictive models, and communicating findings to both technical and non-technical teams.
My core strengths include:
• Writing clean, efficient Python for analysis and automation
• Using SQL and Excel to query and manipulate data
• Visualizing trends and insights using Tableau and Power BI
• Applying statistical models and machine learning to solve business problems

I’m excited about the opportunity to contribute to your data team and apply my skills to uncover insights that drive impact. Please find my resume and portfolio attached. I’d welcome the opportunity to discuss how I can support your organization’s data-driven goals.

Warm regards,
Malachy Chidera Ikechukwu

Malachy Chidera Ikechukwu
Email: [відкрити контакти](див. вище в блоці «контактна інформація») | LinkedIn: Malachy Chidera | Phone: [відкрити контакти](див. вище в блоці «контактна інформація») |Nationality: Nigerian | Date of Birth: 28/02/1995

Professional Summary
Insight-driven Data Scientist with a Computer Science background and 4+ years of experience leveraging Python, SQL, and machine learning to extract insights, build predictive models, and support data-driven decisions. Proficient in exploratory data analysis (EDA), data visualization, and business intelligence tools like Tableau and Power BI. Experienced in cleaning, modeling, and interpreting large datasets to deliver actionable insights across marketing, finance, and customer segmentation use cases.

Skills
• Python (Pandas, NumPy, Scikit-learn, Seaborn, Matplotlib)
• Data Wrangling & Preprocessing
• Machine Learning (Classification, Regression, Clustering)
• SQL, Excel, Jupyter Notebooks
• Data Visualization: Tableau, Power BI
• Statistical Analysis & Hypothesis Testing
• Google Analytics & Data Studio
• Business Problem Solving & Presentation

Certifications
• Python for Data Science and Machine Learning (Udemy)
• SQL for Data Analytics (Coursera)
• Google Analytics
• Harvard Business School: Business Lessons
• HubSpot CRM (Data-Driven Marketing Insight)

Professional Experience
Digital Analyst
Baysuit | 2020 – Present
• Built automated dashboards with Tableau to visualize campaign performance and customer journeys.
• Used Python to analyze ad performance data and identify cost-saving strategies, improving ROI by 30%.
• Conducted customer segmentation using K-Means clustering, influencing personalized marketing strategies
Freelance Data Scientist
Various Clients | 2021 – Present
• Designed data cleaning scripts and performed EDA for client datasets across retail and logistics.
• Built regression models to forecast sales and time series trends.
• Delivered reports and visualizations to stakeholders, reducing reporting time by 60%.
Podcast Host & Brand Educator
Unscripted Entrepreneur | 2021 – Present
• Created and promoted podcast content discussing digital growth tactics for small businesses.
• Integrated podcast marketing with blog content and email nurturing flows.
• Produced and promoted episodes discussing digital business, content strategy, and branding.
• Wrote show notes and repurposed audio into blog posts, social snippets, and newsletters.

Education
Business Lessons
Harvard Business School Online
April - June 2021

Bachelor’s Degree in Computer Science
Nnamdi Azikiwe University, Anambra
September 2015 – November 2019

Achievements
• Published over 200 articles, driving measurable increases in website sessions and backlinks.
• Created content for clients across industries, including tech, lifestyle, travel, and e-commerce.
• Increased average time-on-page and reduced bounce rate through UX-informed content formatting.
• Developed brand voices and style guides for emerging startups and agencies.

Projects
Customer Segmentation Analysis
• Clustered customer purchase behavior using K-Means and PCA.
• Visualized patterns with Seaborn and Matplotlib for business targeting.
Stock Market Trend Analyzer
• Built a Python script to analyze historical stock prices.
• Applied moving averages and linear regression for predictive insight.
Weather Data Visualization
• Cleaned and visualized global weather patterns in Tableau.
• Created interactive dashboards to show seasonal trends