Adhish Nanda

Built Power BI and SQL dashboards improving reporting efficiency by 20%. Developed Python ETL pipelines with Airflow, cutting manual processing time by 30%. Designed end-to-end ML case studies (regression, classification, clustering, NLP) for enterprise training programmes. Contributed to presales analytics proposals for client acquisition. Stack: Python · SQL · Power BI · Airflow · scikit-learn · ETL

Developed Power BI dashboards improving reporting efficiency by 20%. Automated data workflows via python ETL pipelines, reducing manual processing time by 30%. Designed ML case studies covering regression, classification and NLP for enterprise learning programmes. Validated KPIs through structured SQL queries. Stack: Python · SQL · Power BI · scikit-learn · ETL

Improved campaign targeting efficiency by 20% through regression analysis and funnel analytics on real marketing datasets. Built automated Tableau dashboards for client performance monitoring and decision support. Stack: Python · Tableau · Regression Analysis · Funnel Analytics

MSc Data Science at UE Berlin. Modules: Machine Learning, Data Analytics, Data Engineering, NLP, Cloud Computing (AWS), Data Visualization. Capstone: Emotion-Adaptive Multimodal CBT Assistant (PyTorch, DistilBERT, CNN-BiLSTM - 54.1% accuracy on MELD benchmark). Thesis: Cost-Aware Governance-First RAG System with Adaptive LLM Routing and Counterfactual Evaluation.

Postgraduate summer programme focused on Machine Learning and Data Analytics applied to financial datasets. Covered supervised and unsupervised ML, clustering, prediction models, and data visualization using Python. Hosted by one of Germany's top-ranked universities.

Master's in Data Science covering Data Mining, Predictive Analytics, NLP, Big Data Technologies, Bayesian Networks and Statistical Modelling. Thesis: Transaction Scheduling using Machine Learning - published in IEEE ICOEI 2020 and Springer.

Bachelor's in Electronics and Communication Engineering. First Class. Core modules: Engineering Mathematics, Signals and Systems, Digital Signal Processing. Thesis: State-of-Charge Estimation of Li-Ion Batteries in Electric Vehicles - published in Asian Journal of Applied Science and Technology (2017).