Aditya Menon
Analytics Intern @Lansing Board of Water & Light
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WORK HISTORY
Analytics Intern @Lansing Board of Water & Light
East Lansing, MI, US
Improved data integrity by identifying and resolving inconsistencies across 3+ systems (MAPCON, Power Apps, SAP), leading to a 30% reduction in manual data correction efforts; SQL, Python- Developed dynamic Power BI dashboards showcasing key data quality KPIs, enabling leadership to make data-driven decisions and reducing reporting turnaround time by 40%; Power BI, Excel- Automated detection of erroneous or duplicate time and maintenance entries, increasing data validation efficiency by 50% and reducing downstream reporting errors; Python, Excel- Initiated development project to integrate an AI chatbot into the LMS training platform, aiming to enhance learner engagement, provide real-time support, and reduce instructor workload by 35%; OpenAI API, storytelling, leadership
EDUCATION
Michigan State University
Bachelor of Science - BS, Computer Science and minor in Business and Computational Mathematics, Science, & Engineering
Abu Dhabi International School (AIS)
High School & International Baccalaureate Diploma
ABOUT ADITYA MENON
As a Computer Science major with a minor in Business at Michigan State University, I am deeply passionate about leveraging technology to solve complex problems. My academic journey has given me a strong foundation in programming languages such as Python, C++, and SQL, along with tools like Power BI and frameworks like React and Next.js. I have actively engaged in research, with a notable publication on AI\'s impact on board games. My drive for continuous learning and improvement pushes me to explore the ever-evolving tech landscape. During my time as a Data Analyst Intern at ADNOC Distribution, I automated workflows that significantly improved data processing efficiency, and built Power BI dashboards that enhanced stakeholder decision-making. Additionally, my research work at MSU allowed me to mentor students and conduct data-driven sessions aimed at increasing student success. I have worked on exciting projects, from creating algorithmic trading models using unsupervised learning to developing an LLM-driven article analyzer that optimizes financial research for analysts. Looking ahead, I aspire to combine my data science expertise with software engineering to build scalable, impactful solutions. I am eager to contribute to innovative projects that push the boundaries of technology while continuing to hone my skills in emerging technologies such as AI, machine learning, and cloud-based solutions. My goal is to drive data-driven decision-making and create meaningful software that empowers businesses and individuals alike.
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