Shifan Nayyar
Kareela
Summary
Dual-skilled professional with a background in data analytics and legal studies, combining technical capability with structured problem-solving and strong communication. Experienced in extracting insights from complex datasets using Python, R, and Excel, building automated reporting tools, and presenting data clearly to diverse audiences. Legal training supports precise writing, stakeholder engagement, and effective communication across technical and non-technical contexts.
Overview
4
4
years of professional experience
Work History
Legal Operations - Data Analyst (Scholar Program)
Transport For NSW
09.2025 - Current
- Built and maintained Power BI dashboards to support reporting and analysis of the legal team’s data.
- Assisted with tracking key KPIs, including claim volumes, processing timelines, and team performance metrics.
Rail Data & Systems Analyst (Scholar Program)
Transport For NSW
02.2022 - Current
- Developed and implemented automated reporting tools using Python, R, and Excel to improve reporting accuracy and reduce manual processing time by up to 40%.
- Created data visualisations and dashboards in Excel and R to support track condition analysis, compliance reporting, and asset risk assessments.
- Led a long-term risk assessment project (Zig-Zag Transition Detection) from exploratory analysis through to final stakeholder-approved reporting, incorporating engineering input and risk frameworks.
- Conducted data cleaning, transformation, and structuring on complex rail infrastructure datasets, including MIDT LiDAR, track geometry, and run log data.
- Authored formal reports and documentation used by senior engineers and operational managers to inform infrastructure safety decisions.
- Collaborated with cross-functional teams including track engineers, systems teams, and contractors to gather requirements, validate outputs, and align technical work with operational goals.
- Used problem-solving and independent research to design scalable solutions for niche data challenges with minimal existing documentation or precedent.
- Participated in professional development and ELTP networking events to gain exposure to graduate pathways and strengthen stakeholder engagement.
Education
Bachelor of Laws - LLB/Bachelor of Data Science -
University of New South Wales
Sydney, New South Wales, NSW12-2026
Skills
- Data Tools & Programming:
Python (pandas, NumPy, matplotlib), R (tidyverse, ggplot2), SQL (PostgreSQL, MySQL), Power BI, Excel (Power Query, PivotTables), Git - Analytics & Modelling:
Data cleaning and transformation, regression analysis, predictive modelling, econometric modelling, supervised machine learning (classification, regression), feature engineering, time series forecasting
- Visualisation & Reporting:
Interactive dashboards (Power BI, Excel, R), data storytelling, trend analysis, communicating insights to technical and non-technical stakeholders - Legal & Research Skills:
Legal research and writing, statutory interpretation, structured reasoning, issue identification, concise and professional communication
Timeline
Legal Operations - Data Analyst (Scholar Program)
Transport For NSW
09.2025 - Current
Rail Data & Systems Analyst (Scholar Program)
Transport For NSW
02.2022 - Current
Bachelor of Laws - LLB/Bachelor of Data Science -
University of New South Wales