Freelancers using Python in Nairobi
Freelancers using Python in Nairobi
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Johnson Wairimu
Nairobi, Kenya
Delivering Strategic Growth Through Data, Finance & Tech.
10
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Delivering Strategic Growth Through Data, Finance & Tech.
1
Executive Review: Global Aircraft Manufacturing Intelligence Dashboard The Global Aircraft Manufacturing Intelligence Dashboard demonstrates how modern Business Intelligence can transform complex aviation datasets into strategic insights that support executive decision-making. By integrating production, delivery, market share, and regional performance data from leading aircraft manufacturers into a unified Power BI environment, the solution provides stakeholders with a comprehensive view of industry performance and emerging market trends. The analysis indicates that Airbus and Boeing continue to dominate the global commercial aviation market, while manufacturers such as Embraer, Bombardier, Dassault Aviation, Gulfstream, and COMAC continue to strengthen their presence across regional, business, and emerging aviation segments. Through interactive visualizations, users can evaluate production performance, delivery trends, market distribution, and competitive positioning to better understand the evolving dynamics of the aerospace industry. Beyond visualization, the dashboard serves as a strategic decision-support platform by enabling organizations to monitor key performance indicators, identify growth opportunities, anticipate market shifts, and improve forecasting accuracy. The ability to consolidate multiple data sources into a single, reliable reporting environment significantly reduces manual reporting effort while improving data consistency and operational visibility. At Intersect Analytics, we specialize in designing enterprise-grade Business Intelligence solutions that convert fragmented business data into actionable intelligence. Our expertise spans Power BI Dashboard Development, Financial Analytics, Executive Reporting, SQL Data Modeling, Python Analytics, Excel Automation, Office Scripts, Power Automate, Predictive Analytics, and Data Engineering. Every solution we develop is tailored to enhance reporting efficiency, strengthen decision-making, and support long-term business growth. Rather than simply building dashboards, we develop intelligent reporting ecosystems that enable organizations to automate reporting, improve operational performance, and make strategic decisions with confidence. Intersect Analytics Decisions Backed by Data. Growth Driven by Insight.
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π Executive Automotive Industry Intelligence β Powered by Power BI How do the world's leading automotive manufacturers compare when it comes to revenue, profitability, production, and market performance? At Intersect Analytics, we developed this executive Power BI dashboard to transform complex automotive industry data into a single source of truth for strategic decision-making. π Executive Insights Our analysis revealed several key industry trends: π Toyota Motor Corporation continues to lead the global automotive market, generating the highest revenue while maintaining exceptional profitability and vehicle production volumes. π Volkswagen Group remains one of the strongest global competitors, demonstrating consistent revenue growth and a diversified international market presence. β‘ BYD has emerged as one of the fastest-growing manufacturers, driven by rapid expansion in electric vehicle production and increasing global demand. π° While several manufacturers generate significant revenue, profit margins vary considerably, highlighting differences in operational efficiency, manufacturing costs, and pricing strategies. π Asian manufacturers continue to dominate the global automotive industry, contributing the largest share of revenue and vehicle production compared to Europe and North America. π The transition toward electric and hybrid vehicles is reshaping the competitive landscape, with manufacturers investing heavily in next-generation mobility technologies. π Comparing Revenue against Cost of Sales reveals that companies with stronger cost control consistently deliver higher profitability despite operating in the same competitive environment. π Revenue per vehicle varies significantly across manufacturers, reflecting differences in brand positioning, product mix, and premium versus mass-market strategies. What This Dashboard Delivers β Executive KPI Scorecards β Revenue & Profitability Benchmarking β Global Vehicle Sales Analysis β Regional Performance Comparison β Revenue vs Cost Analysis β Net Profit Margin Analysis β EV, Hybrid & ICE Market Breakdown β Interactive Geographic Performance Mapping β Executive-ready Multi-page Reporting Our Services At Intersect Analytics, we help organizations transform raw business data into executive intelligence through: β Power BI Dashboard Development β Financial Analytics & Executive Reporting β Business Intelligence Solutions β Excel & Google Sheets Automation β SQL Data Modeling & ETL β Power Query & DAX Optimization β KPI Scorecards & Performance Monitoring β Predictive Analytics & Decision Support Every dashboard we build is designed to help leaders move beyond reportingβto uncover trends, optimize performance, and make confident, data-driven decisions. π Decisions Backed by Data. Growth Driven by Insight. If your organization is ready to unlock the full potential of its data, let's build a solution tailored to your business.
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π GLOBAL AI STOCK MARKET PERFORMANCE DASHBOARD Artificial Intelligence is no longer influencing individual companies alone β it is reshaping entire financial markets. At Intersect Analytics, we developed this interactive Global AI Stock Market Performance Dashboard to analyze how AI investment is driving market performance across the United States, South Korea, Taiwan, Europe, China, and Japan. Our analysis highlights several key findings: β South Korea's KOSPI significantly outperformed many major global markets, driven largely by AI-related semiconductor companies. β Massive AI capital expenditure by major US technology companies continues to fuel global semiconductor demand. β Market concentration risk is increasing, with a small number of companies accounting for a significant share of market performance. β Retail investor participation has reached historic levels in some markets, increasing both opportunity and risk. β AI infrastructure spending is becoming one of the strongest drivers of global equity markets. How We Built This Solution This dashboard was developed using a complete Business Intelligence workflow: β’ Data collection and market research β’ Data transformation and modeling β’ Power Query data preparation β’ DAX calculations and performance measures β’ KPI development and financial analysis β’ Geographic and market visualization β’ Risk assessment and investment analysis β’ Executive dashboard design in Power BI Services Delivered by Intersect Analytics π Power BI Dashboard Development π Financial & Market Analytics π€ Business Intelligence Solutions βοΈ Data Modeling & Automation π Executive Reporting & KPI Design ποΈ Power Query & DAX Optimization π Economic & Market Intelligence Dashboards βοΈ Data Integration & Analytics Infrastructure At Intersect Analytics, we help businesses, investors, and organizations transform complex data into clear insights that support better decisions. DECISIONS BACKED BY DATA. GROWTH DRIVEN BY INSIGHT. #PowerBI #BusinessIntelligence #DataAnalytics #FinancialAnalytics #ArtificialIntelligence #StockMarket #DashboardDesign #DataVisualization #InvestmentAnalytics #BusinessGrowth
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π NEW PROJECT INTAKE OPEN | 20% OFF UNTIL JUNE 15 Every business generates data. The difference between industry leaders and everyone else is what they do with it. At Intersect Analytics, we help organizations save time, eliminate manual reporting, automate repetitive processes, and turn data into actionable business intelligence that drives growth. Our services include: π Power BI Dashboards & Business Intelligence π Data Analytics & Visualization βοΈ Excel & Google Sheets Automation π Python Data Extraction & Preparation ποΈ SQL & Database Solutions π Business Process Automation Whether your business is just beginning its analytics journey or already has reporting systems in place, we help unlock greater value through smarter automation, better insights, and more efficient decision-making. β Reduce reporting time β Improve operational efficiency β Monitor KPIs in real time β Make faster, data-driven decisions β Focus more time on growth and strategy π Enjoy 20% OFF all Data Analytics, Business Intelligence, and Automation projects until June 15. π± WhatsApp: +254 723 632 207 INTERSECT ANALYTICS Decisions Backed by Data. Growth Driven by Insight.
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33
Python
(24)
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Wamaitha Nyamu
Nairobi, Kenya
Software Engineer
4x
Hired
4.5
Rating
18
Followers
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Software Engineer
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Real-Time Data Streaming Application with Kafka and Asyncio
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12
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YouTube Long to Short Form
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25
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Using AI to predict stock/forex/commodities/crypto movement
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10
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News Scrapper
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30
Python
(6)
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Stephen Kisong'e
Nairobi, Kenya
Cyber Security Analyst
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Cyber Security Analyst
1
A hands-on overview of CAI, an AI-assisted cybersecurity agent framework configured and explored in a Linux terminal environment. The demonstration focuses on how AI agents can be organized and used to support different areas of cybersecurity testing, analysis, and research. The walkthrough covers command-line navigation, available help options, agent selection, model configuration, and the use of specialized security agents. It includes a closer look at DFIR-focused agents for digital forensics and incident response, along with other agent categories designed for bug bounty research, red team activities, network security, reverse engineering, Wi-Fi security, and reporting. The setup also highlights parallel agent configuration, showing how multiple AI-driven security agents can be prepared for structured analysis and task separation. This makes the environment useful for handling different cybersecurity activities in a more organized and scalable way. Overall, the work reflects practical experience with AI-powered security tooling, terminal-based security environments, agent configuration, cybersecurity automation, and ethical AI-assisted security research.
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Conducted an automated security assessment of a locally-hosted large language model, Dolphin 3.0 (Llama 3.1 8B), using Garak, NVIDIA's open-source LLM vulnerability scanner. The model was served through LM Studio's OpenAI-compatible REST API and tested from a Parrot OS environment running in VirtualBox. Configured Garak to target the model via a custom REST generator configuration, handling endpoint routing, Bearer token authentication, JSON response parsing, and extended timeouts for local inference. Executed nine distinct probe categories against the model, covering DAN jailbreaks, prompt injection, encoding-based bypass, malware generation, latent injection, real toxicity prompts, continuation attacks, grandma exploits, and package hallucination. The assessment identified that Dolphin 3.0, an uncensored model with no built-in safety guardrails, was vulnerable across the majority of probe categories. Findings were documented per probe, distinguishing where the model resisted versus complied, and translated into a clear, layered explanation of each attack type and its real-world security implications. Delivered the work as a complete, reproducible walkthrough, including environment setup, tool configuration, probe execution, and results interpretation, suitable for both technical practitioners and stakeholders newer to AI security.
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AI security research project focused on prompt injection risks in LLM-powered applications. The work involved testing how AI systems handle malicious or hidden instructions inside user inputs, documents, webpages, and other untrusted content. The assessment explored risks such as instruction bypass, guardrail failure, data leakage, unsafe tool use, and AI output manipulation. It demonstrated the importance of testing the full AI application, not only the model, especially when connected to files, APIs, RAG systems, browsers, or autonomous agents. Skills demonstrated: AI red teaming, LLM security testing, prompt injection analysis, guardrail evaluation, threat modeling, and secure AI deployment. Tool: Spike
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I conducted an authorized AI security assessment of Lily Cybersecurity 7B to evaluate how effectively a hardened system prompt could resist jailbreak and prompt injection attacks. Using Prompt Fuzzer, I ran 15 attack techniques against the model. The system prompt successfully blocked 8 attempts, including most roleplay and social engineering attacks. The successful bypasses mainly used translated or altered wording to disguise the intent of the request. This project demonstrates why system prompts should be supported by input validation, moderation, output filtering, and continuous AI red team testing.
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69
Python
(3)
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Ivy Mburu
Nairobi, Kenya
Web Developer | Front-end Specialist | Framer Expert
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Web Developer | Front-end Specialist | Framer Expert
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Petpal | Responsive Web Application
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23
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Bayside International School Website | Responsive Website Design
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13
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Vista Hotels | Responsive Website
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9
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Vista Hotel
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11
Python
(3)
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Dennis Munderu
Nairobi, Kenya
Expert Data Analyst: Transforming Data to Insight
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Expert Data Analyst: Transforming Data to Insight
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Data-cleaning a salary-survey
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17
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Exploratory Sales-analysis
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16
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Web-scraping-BeautifulSoup
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12
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Python
(3)
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Fleetwood Ayisi
Nairobi, Kenya
GIS | Data Analysis | Remote Sensing | Cartography
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GIS | Data Analysis | Remote Sensing | Cartography
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Data Analysis for BI
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40
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Web Scraping & Data Mining
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22
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Geospatial analysis
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17
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(3)
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Kelvin Muhia
Nairobi, Kenya
Web Designer | UI/UX Designer| Graphic Designer |
New to Contra
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Web Designer | UI/UX Designer| Graphic Designer |
0
π Excited to Continue Growing in AI Data Annotation & Quality Assurance Over the past months, Iβve had the opportunity to work on various data annotation and quality assurance projects involving image and video datasets. Using tools such as CVAT and Labelbox, Iβve gained valuable experience in bounding boxes, object tracking, segmentation, data validation, and annotation review. Working on AI training datasets has strengthened my attention to detail, problem-solving abilities, and commitment to delivering high-quality results. Every project provides a new opportunity to learn and contribute to the development of more accurate and reliable AI systems. Iβm always interested in connecting with professionals in AI, machine learning, computer vision, and data annotation. Feel free to reach out if youβd like to connect, collaborate, or discuss opportunities in this exciting field. #AI #DataAnnotation #QualityAssurance #ComputerVision #MachineLearning #CVAT #Labelbox #ArtificialIntelligence #DataLabeling #RemoteWork
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Q. How do you ensure annotation quality? A. Every dataset is reviewed for accuracy and consistency before delivery, following your labeling guidelines.
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Created a full e-commerce website UI design for Burger Hub, a premium burger restaurant. The project included a homepage, featured menu, about/story page, contact page and footer. Designed in Figma with a bold dark theme, red accents and modern food e-commerce layout." Skills to tag: Website Design UI/UX Design Figma E-Commerce Design Restaurant Website
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Project: Football Video Annotation and Quality Assuranceβ Reviewing annotations to ensure consistency and compliance with project guidelines β Identifying and correcting labeling errors β Maintaining high-quality standards across large video datasets β Supporting the development of computer vision models through reliable training data Projects like this continue to strengthen my expertise in data annotation, quality assurance, and AI training workflows. It is rewarding to contribute to datasets that help improve the performance of machine learning and computer vision systems. Iβm always open to connecting with professionals and organizations working in AI, computer vision, data annotation, and quality assurance.
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83
Python
(1)
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Ronald Muguna
Nairobi, Kenya
Data Analyst | Data Engineer
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Data Analyst | Data Engineer
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Sir-Muguna/end-to-end-airflow-data-pipeline
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8
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Azure End-to-End Data Pipeline Design
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23
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Sir-Muguna/healthcare_data_pipeline
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6
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