Sid Balaka
+1-945-***-**** ***********@*****.*** LinkedIn Github Portfolio Website
Education
The University of Texas at Dallas Jan 2022 - Dec 2025 Bachelor of Science, Computer Science
• Coursework: AI, Software Engineering, Business & Economics, Database Systems, Algorithms & Data Structures The University of Texas at Dallas Aug 2022 - May 2025 Certificate, Data Science
Technical Skills
• Languages & Programming: Python, SQL, Java, C++, C, Javascript, Cursor
• Web/Mobile/AI Development: React.js, Django, Express.js, Node.js, MongoDB, MySQL, Tailwind, UI/UX, Angular, HTML, CSS, Javascript, .NET, Firebase, MCP, RAG, Agentic AI, Rest APIs, APIs, React Native, Mobile Development
• Data Analysis & Data Engineering Engineering: scikit-learn, Keras, NumPy, SciPy, Databricks, ETL pipelines, data cleaning, data preparation, Yahoo Finance, Data Bricks, Data Lakes, Data Modeling, RDMBS, Data Lakes, Data Modeling
• Cloud & DevOps: Azure (Functions, App Services, Event Hubs, Synapse), Docker, Git, Jenkins, CI/CD, AWS (Bedrock, Lambda, DynamoDB, EC2, EKS, S3), Kubernetes
• Visualization & EDA: pandas, seaborn, matplotlib, Power BI, Excel, Tableu Relevant Experience
SR-IT Solutions Aug 2025 - Present
Founder, Lead Developer
• Founded and led a B2B AI agency, building custom AI solutions and mobile development tools, which helped client companies automate workflows and improve operational efficiency Connectyfi Jan 2025 - May 2025
Software Engineer Intern Remote
• Designed responsive front-end components with Tailwind CSS, HTML, and JavaScript from Figma wireframes and UX feedback, resulting in a smoother user experience and faster page load times
• Developed Django-based authentication and containerized backend services using Docker, which secured user login and streamlined deployment across environments
• Contributed to daily scrum meetings with cross-functional, internationally distributed teams, helping align priorities and keep project milestones on schedule
Northeast Big Data Innovation Hub Dec 2024 - Feb 2025 Data Analyst Remote
• Analyzed NYC transportation data with R and Python to identify peak travel times and congestion patterns, supporting city planning decisions
• Conducted time series forecasting and cleaned, visualized crash data with pandas, seaborn, and Matplotlib, delivering actionable insights that helped prioritize road-safety interventions
• Created geospatial heatmaps identifying high-risk intersections to inform public safety decisions. BVS Constructions Ltd Apr 2021 - Aug 2024
Administration and Accounting Kampala, Uganda
• Managed a budget, and reduced costs by $2000 per year through database creation
• Documented company work history online on public tender contract agreements website.to boost marketing Wasted Mobile App Aug 2023 - Dec 2023
Full Stack Developer University of Texas at Dallas
• Led development of the Wasted mobile app using React Native for cross-platform UI and Firebase for authentication, real-time database, and cloud functions, delivering a functional prototype within three months
• Designed UI with Figma and implemented Google Maps routing. Academic/Personal Projects
Senior Design Project – Crisis Detection via Tweet Stream Analytics Github Aug 2025 - Dec 2025 University of Texas at Dallas
• Led a 3-member team to develop a real-time natural disaster detection system using Azure Event Hub and Azure Stream Analytics to process live tweets from BlueSky using .NET and front end with React. Using support vector machines for natural language processing, measuring bias and developing a KPI Dashboard to inform interested perseonel
• Designed and containerized backend architecture with Docker, integrating automated pipelines with Azure Blob Storage for scalable data management.
• Conducted agile sprint reviews to iteratively deliver streamlined development process utilizing SDLC Natural Gas: Python Trading Bot, Data Analysis Python Code Aug 2024 - Dec 2024 The University of Texas at Dallas
• Developed a Python-based stock analysis and trading tool leveraging the Yahoo Finance API, implementing Simple Moving Averages
(SMA) to predict optimal buy/sell points based on historical data and market trends following
• Conducted data cleaning and preprocessing on stock market datasets; visualized insights using matplotlib, including profit/loss analysis and performance metrics.
Blood Drive Database System, Software Development Github Aug 2024 - Dec 2024 The University of Texas at Dallas
• Developed a full-stack database system for managing blood donations and matching them to patient needs
• Built backend database using SQL to implement and managed relational data models, ensuring efficient data retrieval and integrity
• Developed the frontend interface using .NET to enable user interaction with donation records and matching processes NLP Word Association & Sentiment Analysis, Machine Learning Jan 2025 - May 2025 The University of Texas at Dallas
• Collaborated in a team to conduct a Natural Language Processing (NLP) project analyzing word associations and sentiment across diverse text datasets
• Evaluated predictive accuracy using five machine learning models: Naive Bayes, Logistic Regression, Support Vector Machines
(SVM), and K-Nearest Neighbors (KNN)
• Utilized Scikit-learn to implement models and assess performance using standard evaluation metrics