Krithika Senthilkumar

MSc Applied Statistics graduate with practical experience in data analysis, Python, SQL and reporting using large, real-world datasets. Experienced in extracting, cleaning, validating and integrating data from multiple sources, identifying trends and anomalies, and producing clear analysis and visualisations to support decision-making. Strong statistical and mathematical background with experience across exploratory analysis, forecasting, predictive modelling and data quality.

Comfortable working independently on analytical projects, learning new tools and communicating technical findings to both technical and non-technical audiences.

Junior Quantitative Analyst at Pareto Economics (2025-12 – 2026-03)

• Worked with 500,000+ observations covering 194 countries, 31 years and 88 variables, using data from multiple international sources.
• Extracted, cleaned, transformed and integrated datasets using Python, preparing raw data for analysis and reporting.
• Investigated data quality issues including missing values, inconsistencies and differences between sources, applying validation and imputation techniques.
• Performed exploratory and statistical analysis to identify trends, patterns, relationships and anomalies within complex datasets.
• Developed statistical and machine learning approaches, including clustering and forecasting, to support refinement of the Global Power Index.
• Used AI-assisted tools to support data analysis, coding, debugging and more efficient analytical workflows.
• Produced visualisations and reports to communicate findings clearly to supervisors and clients.

Teaching Assistant at University of Bristol (2023-09 – 2024-01)

• Supported students with Python programming, debugging, data analysis and problem-solving, adapting explanations to different problems and learning styles.
• Explained technical concepts clearly to students with different levels of technical understanding.

Treasurer at Women in STEM Society, University of Bristol

• Managed society budgets and supported financial planning for events and activities.
• Organised events and communicated with students and committee members to coordinate activities.

Project at Engineers Without Borders

• Led a student team researching sustainability challenges and evaluating evidence to support project recommendations.
• Developed an interest in applying analytical and quantitative approaches to sustainability and operational challenges.

Alphateq Ltd

• Exposure to CAD, engineering design and technical problem-solving.

Liverpool Royal Hospital

• Experience with data handling and laboratory systems.

MSc in Applied Statistics – Imperial College London (2024 – 2025)

BEng in Engineering Mathematics – University of Bristol (2021 – 2024)