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Data Science with 2+ years in Data Analysis & Machine Learning
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Rashi Thashmi is a dynamic Data Analyst with 2.8 years of experience, specializing in Data Science and Machine Learning. She excels in Python, Power BI, Tableau, and SQL for data analysis, visualization, and predictive modeling. Her professional background includes building interactive dashboards, performing statistical analysis, and automating reporting workflows, contributing to data-driven decision-making and process improvement across various industries.
London Metropolitan University
BSc (Hons) · Data Science
August 1, 2021 – June 30, 2025
Shorelight
Data Analyst
May 1, 2025 – April 30, 2026
India
Eight25 Media Pvt Ltd
Data Research Analyst
February 1, 2024 – May 31, 2025
India
University of Colombo School of Computing
Data Science Research Assistant
September 1, 2023 – February 29, 2024
India
SmartNest AI - Smart House Price Predictor
June 1, 2026 – Present
Sri Lanka real estate price estimator comprehensive project built with machine learning.
Sri Lanka Inbound Tourism Insights Dashboard – 2025
June 1, 2026 – Present
Analyzed 2M+ arrivals from 195 countries, highlighting seasonal trends and top source markets.
Payment Transaction Analysis Dashboard
June 1, 2026 – Present
Cleaned 11,000+ ATM records and built an interactive dashboard to track transaction patterns
Getting Started With Microsoft Fabric
Whizlab
June 1, 2026 – Present
IBM Data Analyst Professional Certificate
IBM
June 1, 2026 – Present
Data Storytelling
Fractal
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity, including real estate, tourism, and payment transaction analysis, shows a broad interest in applying data science across different domains. The blend of personal projects, academic research, and industry experience suggests a proactive and adaptable individual. The target role of Data Science aligns well with their education and experience, indicating a strong cultural fit for a data-driven organization.
Soft Skills & Operational Fit
The candidate's resume highlights 'Effective Communication', 'Analytical Thinking & Problem Solving', 'Team Leadership', 'Attention to Details', 'Adaptability', and 'Quick Learning'. These indicate a good operational fit for a data science role requiring collaboration and problem-solving. However, without specific assessment data, the depth of these soft skills cannot be fully validated.