Aditya Krishn

1) Analyzed metadata from Kaggle competitions using Stata and R to research open innovation and study variable correlations. 2) Built an interactive dashboard to perform real-time text mining and social network analysis of innovation communities. Utilized Python for data extraction and Streamlit for visualization. 3) Developed engaging presentations summarizing complex research on business model innovation for both academic and industry audiences.

1) Analyzed the relationship between hate speech and power/agency, a key factor in social dynamics, using a language model. Aimed to assess if large language models can grasp complex psychological concepts. 2) Led a 5-member team to label agency levels for validating language models. Fine-tuned GPT-3.5 using prompt engineering to classify agency and benchmarked it against open-source LLM Llama 3.

The goal of ACC is to provide workshops, training, and networking opportunities for students in the region of Aachen; hence, giving them a competitive edge in joining global and local consulting companies. Spearheaded corporate development and collaboration initiatives, significantly improving students' consulting career prospects. Successfully, led a team of 7 members, made relationships with 8 new companies and organised 13 different events.

Led a team in product purchase propensity calculations for a global FMCG, using Big Data (Hadoop, Pyspark, Hive), enhancing marketing ROI through market mix modeling, and visualizations in Excel. Reduced a major CPG company's employee attrition by 20% with predictive analytics. Proficient in Agile and JIRA, led NLU engine development in the NLP division. Increased e-commerce conversion rates by 15%. Developed a CRM visualization platform for a Fortune 500 client using Power BI, Domo, and SQL.

Implemented predictive analytics, data visualisation tools and Robotic Process Automation to automate workflows, enhancing project efficiency and accuracy in multiple business intelligence initiatives. Utilised Tableau and advanced clustering algorithms to minimise trade mismatches by 14%, significantly improving data visibility and operational efficiency across key projects.

Pioneered the development of an intelligent system for the automated interpretation of gas meter readings, leveraging image processing and neural network technologies. Integrated the solution with Android Studio for real-time data relay, contributing to a government-sanctioned Smart City Project.