Aditya Krishn

Explored hate speech's impact on social cohesion by investigating its correlation with agency denial in language. Led a team in annotating data to define "agency" levels for model validation. Used BERTAgent and Riveter for linguistic analysis, focusing on agency features (verbs, pronouns, modals). Enhanced this with GPT 3.5, refining agency classification through prompt engineering, and benchmarked against open-source LLMs.

Conducted meta-data analysis on Kaggle to explore open innovation with Stata 13, leading to new hypotheses in crowdsourcing. Developed a text mining dashboard using Plotly/Dash, Python, and Streamlit for analyzing user innovation. Advanced bibliographic analysis with Topic Modeling and Factor Analysis for literature insights. Led web mining for scholarly datasets, utilizing data extraction techniques. Created presentations on business model innovation, making complex findings accessible.

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.