Dennis Mwenda

With a robust foundation in Economics, I bring over three years of hands-on experience to the dynamic field of data science and analytics. Currently pursuing a master's in Data Science, my academic journey aligns seamlessly with my passion for transforming raw data into meaningful insights.
My proficiency in Python and R programming languages allows me to craft intricate algorithms, while my mastery of SQL ensures seamless data manipulation and retrieval. Leveraging advanced visualization tools such as Tableau and PowerBI, I possess a strong ability to communicate complex data stories compellingly.

Throughout my professional journey, I've honed my skills in translating data into actionable insights, bridging the gap between statistical analysis and strategic decision-making. My experience has strengthened my grasp on the intricacies of data, empowering me to derive valuable insights that drive organizational success.
In my data-centric approach, I merge academic rigour with practical experience, creating a unique skill set that positions me as a proficient data scientist capable of extracting actionable intelligence from diverse datasets. I am committed to delivering excellence and am poised to contribute my expertise to innovative projects and drive impactful change through data-driven decision-making.With

Data Scientist/ Data Analyst - Freelancing 

• Developing interactive and visually appealing dashboards using Tableau, PowerBI, providing real-time visualizations to monitor (KPIs) and tracking metrics. Enhancing dashboard usability leading to a 20% increase in user engagement and informed decision-making.
• Conducting extensive data analysis using Python and PostgreSQL to extract, transform, and manipulate large datasets, uncovering valuable insights and trends. Achieving a 25% improvement in data processing efficiency through query optimization and database tuning.
• Utilizing QGIS and Python libraries (such as Folium) to analyze and visualize spatial patterns of Accident prone zones, supporting National Transport decision-making and resource allocation. Enhancing accident prediction accuracy by 20% through advanced spatial analysis techniques.
• Building text classification models using NLP techniques and Python libraries (such as NLTK or spaCy) for analyzing customer sentiment towards a products, providing valuable insights for marketing and product development teams. Improved sentiment analysis accuracy by 30%, enabling more targeted marketing strategies.
• Integrating Python web frameworks like Django into a web application, enabling seamless integration of geospatial analysis and visualization capabilities within a user-friendly interface. Enhancing web application performance by 30% through efficient utilization of Django ORM and integration of optimized geospatial visualization components.

Data Scientist/ Data Analyst - GuruIT

• Played a cardinal role in a public safety venture, leveraging tools like QGIS and python libraries (Geo pandas) to translate geospatial data into insightful visual representations. I illuminated accident hotspots and differentiated accident severities across vast terrains, significantly contributing to public safety initiatives.
• Led the design, manipulation, and optimization of robust relational databases for ten specific clients using SQL and PostgreSQL. This initiative boosted query performance by 25%, guaranteed 95% uptime, and ensured supreme data integrity and scalability.
• Pioneered information management protocols for diverse clients, ensuring seamless migration of data into structured datasets, predominantly in excel and csv formats ensuring comprehensive compliance with our stringent internal procedures, resulting in flawless information assimilation and transition.
• Implemented daily Python scripts to develop advanced predictive modelling and algorithm for the company's clients, which led to zero data loss incidents during the tenure, helped the company save time, increase effecieny and attain set objectives.
• Engineered proprietary tools for a leading supermarket in Nairobi, focusing on upholding data quality, survey target achievement, and garnering enumerator insights. Conducted hands-on training sessions using PowerBI, enhancing team competency in data management and visualization. revamping the supermarket's data analytics infrastructure, delivering precise sales intel and fortifying the team with refined analytical capabilities, driving astute business decision-making.
• Analyzed large datasets comprising over a million records using Python and R programming to conduct advanced statistical analyses, model development, and predictive analytics, providing actionable insights for clients in various industries across East Africa.
• Created, designed and presented interactive and intuitive dashboards using Tableau, Power Bi, effectively presenting complex datasets in a comprehensible manner to executives and customers, receiving commendation for clarity and actionable insights, which influenced strategic decision-making.
• Spearheaded a meticulous quantitative dissection of election data during Eastern Kenyan election using R and data visualization utilities. illuminating distinct patterns and highlighted potential voting inconsistencies across the county. This data-driven approach unearthed strategic voter stronghold zones and areas necessitating targeted campaign interventions.

Masters in Data Science & Data Analytics - Strathmore University

Bachelor of Economics    - Kenyatta University