Technical Business Analyst Python • SQL • Power BI • AWS
I’m Lohitha Mahesh, a Technical Business Analyst with nearly five years of experience across business analysis, software development, data analytics, and cloud-based solutions.
I specialize in understanding business problems, analyzing workflows, and translating requirements into practical technical solutions. My experience includes requirements analysis, process mapping, user stories, acceptance criteria, data validation, dashboard reporting, UAT, and Agile delivery.
My technical background includes Python, SQL, Power BI, FastAPI, PostgreSQL, REST APIs, and AWS. This allows me to work comfortably between business and technical teams, communicate complex requirements clearly, and support solutions from initial analysis through implementation and validation.
Throughout my experience, I have contributed to opportunity-analysis platforms, business research initiatives, academic operations, and web application development. I enjoy using technology and data to improve processes, support informed decisions, and solve meaningful business problems.
I’m currently focused on opportunities where I can combine business analysis, technical problem-solving, and data-driven decision-making to deliver measurable value.
Delivered data-driven insights to support operational decision-making
Advanced training in AI, analytics, and technology-driven decision making.
Dallas Baptist University, CGPA: 4.0
Sreenidhi Institute of Science and Technology, CGPA: 3.6
A comprehensive toolkit developed through academic training and hands-on experience
Showcasing academic and personal projects that demonstrate my skills and passion
Applied AI Project
Designed and implemented an AI-powered chatbot to assist university students with academic. Improved response efficiency through NLP-based intent detection.
Data Analytics & Machine Learning
Built a machine learning pipeline to analyze physicochemical attributes of wine and predict quality scores. Focused on feature engineering and model evaluation for business insights.
Deep Learning Project
Implemented transfer learning–based deep learning models to improve image classification accuracy through fine-tuning and model evaluation.
Location
Dallas–Fort Worth Metroplex, USA
I’m currently seeking full-time opportunities. If you have an opening or collaboration in mind, let’s connect.