About Bruce

About Me

I'm Bruce Amalemba, a data scientist and developer from Kisumu, Kenya, with a strong foundation in mathematics and applied statistics. I specialize in transforming raw data into actionable insights using Python, SQL, and modern analytical techniques, and I build clean, efficient web solutions that help businesses and individuals grow. I’m currently pursuing a Bachelor’s in Applied Statistics with IT at Maseno University (Class of 2026), where I’ve strengthened my skills in statistical modeling, mathematical reasoning, and data-driven problem solving. My experience includes freelance revenue analysis, performance optimization—such as improving my own 5K run time through personal data tracking—and crafting meaningful digital projects inspired by real-life explorations, including places like Ambururu Waterfalls. Whether I'm analyzing trends, building tools, or creating digital experiences, my focus is always on clarity, precision, and real-world impact.

1+

Years Grinding

4+

Projects Launched

10+

Tools in My Kit

Data shaped my discipline, teaching me to balance university, client work, and open-source contributions while turning complex datasets into clear, actionable insights, iterating fast, measuring impact, and helping people make informed decisions across Kenya’s growing tech sector.

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My Path

My Professional Path

Freelance Data Scientist

April 2025 – Present: I’ve been delivering Python-powered data solutions that help clients uncover revenue trends, optimize operations, and make informed business decisions. Beyond client work, I’ve applied the same analytical approach to personal projects—like analyzing hundreds of my own workout logs to build a predictive model that improved my 5K time by 2.5 minutes. This experience reinforced my belief that data, when used thoughtfully, can drive tangible results both professionally and personally. Every project I take on emphasizes clarity, iteration, and measurable impact, turning raw information into actionable insights.

Web Developer, Ambururu Waterfalls

June – July 2025: Designed and developed a full website from the ground up for an eco-tourism spot in Siaya, integrating visitor analytics that boosted engagement and provided actionable insights. The site highlights the natural beauty of the waterfalls while helping management understand visitor trends, and it’s now live, attracting and delighting visitors.

Personal Data Projects

January 2025 – Ongoing: Self-taught through cleaning sales datasets with Pandas and running regressions in R. Simulated business scenarios to tweak profit margins up by 18%. Keeps me sharp between classes.

Also contributed to open-source: Fixed a merge bug in Pandas and added to Scikit-learn's SVM docs. Balancing uni at Maseno with these gigs has been tough but rewarding—hit my first freelance payment this year!

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Creations

My Creations

These are hands-on builds from my GitHub. From hiking-inspired sites to late-night coding sessions on ML models, each one's got a story. DM if you want the behind-the-scenes on any.

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My Toolkit

Python

Proficient in Python with pandas, numpy, scikit-learn, matplotlib, seaborn, and statsmodels. Used for data cleaning, building models, analyzing revenue trends for clients, and even optimizing my personal fitness performance.

R & SQL

Experienced in R (tidyverse, ggplot2, caret) and SQL for data analysis, regression, hypothesis testing, and extracting actionable insights from structured datasets.

Machine Learning & AI

Skilled in supervised and unsupervised learning, regression, classification, clustering, deep learning (TensorFlow/PyTorch), natural language processing, and time series analysis—applied to real-life datasets and projects.

Data Visualization & Storytelling

Expertise in matplotlib, seaborn, ggplot2, plotly, Tableau, and Power BI for turning complex data into compelling visual stories and dashboards that drive decisions.

Statistics & Analytics

Strong foundation in hypothesis testing, A/B testing, probability & statistics, regression analysis, Bayesian statistics, predictive modeling, and forecasting—applied to both client work and personal projects.

Tools & Platforms

Experienced with Excel, Git/GitHub, Spark, and Hadoop for data processing, collaboration, and scalable analytics pipelines.

Applied & Soft Skills

Problem-solving, critical thinking, effective communication, project implementation, and turning data into actionable insights—skills I apply daily in both client work and personal analytics projects.

My Thoughts

My Data Diary

Next-Level Portfolios

Nov 4, 2025: Saw a killer agent site—next level stuff. Inspires me to push my own builds further.

Dataset Battles

Oct 30, 2025: Morning wrecked by Medical Appointment No Show data, but afternoon nailed a client portfolio. DM for yours!

Ambururu Launch

Jul 11, 2025: Dropped the first version of Ambururu site. Preserving nature one click at a time—check it out.

Day 11: Project Wrapped

Apr 23, 2025: Finished my fitness tracker model—dropped 5K time from 22 to under 20 mins. Data's my coach!

These are straight from my X posts—raw updates from my #DataJourney. More on balancing uni, internships, and coding marathons.

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Echoes

Echoes from Others

"You built ours, now you’re just showing off 🔥."

- Ambururu Waterfall Conservancy on my portfolio work

"Impressive analysis."

- On a sales viz I shared

"Congratulations. Keep grinding for more wins."

- Community nod on my first freelance pay

Real shoutouts from X and clients. The Ambururu team's reaction after launch was gold—site's drawing visitors to Siaya's hidden gem.

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My Record

Grab my CV for the full rundown—covering my education, freelance projects, personal work, and technical toolkit.

Download CV

Contact

Email: bruceamalemba007@gmail.com
X: @BruceAmalemba
Location: Kisumu, Kenya
GitHub: github.com/BruceAmalemba
LinkedIn: linkedin.com/in/bruce-washika-1aaa56310

Summary

Data scientist and developer turning raw numbers into actionable insights. Experienced with client projects, personal data experiments, and web development initiatives that deliver measurable impact.

Education

Bachelor's in Applied Statistics with IT, Maseno University (Expected 2026)

Experience

Freelance Data Scientist (Apr 2025 – Present): Built Python-powered portfolios and analyses that identify revenue trends and opportunities.
Web Developer, Ambururu Waterfalls (Jun – Jul 2025): Designed and launched a full website, integrating analytics to boost engagement.
Personal & Data Projects (Jan 2025 – Present): Conducted exploratory data analysis on sales datasets, created predictive fitness models, and optimized workflows.

Skills

Programming & Tools: Python (pandas, numpy, scikit-learn, matplotlib, seaborn, statsmodels), R (tidyverse, ggplot2, caret), SQL, Excel, Power BI, Tableau, Git/GitHub, Spark/Hadoop
Machine Learning & AI: Supervised & unsupervised learning, regression, classification, clustering, deep learning (TensorFlow/PyTorch), NLP, time series analysis
Data Wrangling & Visualization: Data cleaning, preprocessing, matplotlib, seaborn, ggplot2, plotly, Tableau, data storytelling
Statistics & Analytics: Hypothesis testing, A/B testing, probability & statistics, regression analysis, Bayesian stats, predictive modeling & forecasting
Web Development: HTML, CSS, JS, Streamlit
Soft Skills: Problem-solving, critical thinking, effective communication, project implementation, turning data into actionable insights

Certifications

Google Data Analytics (2025)
Python for Data Science (2025)

Open-Source Contributions

Active contributions to Scikit-learn, Streamlit, and Pandas documentation and minor enhancements.

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