Neo4J Developer Resume Sample

• Led the development of a new risk escalation & reporting tool for Credit Suisse (UK and US branches). Planned long-term vision, coordinated data acquisition, and built the technological infrastructure
• Led the development of a proprietary graph-analysis application to identify and track the critical dependencies between the data generated by several Credit Suisse departments (EMEA, UK and Swiss branches)
• Designed and implemented a PySpark algorithms working on 10GB of structured batch data ingested daily to identify and escalate potential event driven risks for the Risk management & Compliance department
• Designed and implemented a real-time anomaly detection tool (in Python and Scala) for the Production support team to identify and escalate potential data quality issues

• Performed the PPE demand forecasting using statistical methods in Python (MA, ARMA, VAR). The results were used by the NHS Trusts to optimise their supply and decrease costs during the 1st Covid-19 wave in the UK
• Utilized Python to implement a recommender system (based on both collaborative filtering and contentbased approaches) for the Nestlé Canada online store, which boosted the total B2B sales by 25%

• Developed an HTML crawler to download, tag and arrange private companies’ information released by the UK Gov. Trained models for text segmentation and keyword extraction
• Utilized Python to implement several machine learning techniques (SVM, Random Forest, XGBoost) for private companies’ valuation on 30GB of unstructured data, which reduced the total process time by 18%

• Developed several Spark jobs on high performance computing Linux cluster to automate the systemic risk modelling for the Risk management & Compliance department of UniCredit Spa
• Analysed client export datasets by identifying key correlating metrics and conducting time series analysis using R