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Data Analyst with less than a year in Analytics and Business Intelligence
Data Science undergraduate specializing in Data Analytics, Business Intelligence, and Data Engineering, with practical experience in SQL, Python, Power BI, ETL pipelines, data warehousing, and machine learning. Proven ability to design dashboards, analyze datasets, build data models, and develop end-to-end analytical solutions using modern data technologies. Strong problem-solving and analytical skills with a passion for leveraging data to support business decision-making. Seeking internship or entry-level opportunities in Data Analytics, Data Engineering, or Data Science.
Sri Lanka Institute of Information Technology (SLIIT)
BSc (Hons) Information Technology · Data Science Specialization
August 1, 2023 – Present
Pinnawala National College
G.C.E. Advanced Level · Combined Mathematics, Chemistry, Physics
June 1, 2020 – May 31, 2022
Employee Attrition Predictor
June 1, 2026 – Present
Built an end-to-end ML pipeline on IBM HR dataset (1,470 records) to predict employee attrition; addressed 84/16 class imbalance using class_weight='balanced' achieving 62% attrition detection rate. Trained and compared Logistic Regression vs Random Forest; applied SMOTE oversampling and threshold tuning (0.50 to 0.30) to optimize minority class recall from 15% to 62%. Identified top attrition drivers (YearsInCurrentRole, YearsSinceLastPromotion, JobSatisfaction) via coefficient analysis; deployed interactive Streamlit web app for real-time prediction.
View ProjectWarehouse Order Management System
May 1, 2026 – Present
Architected a full data warehouse using Snowflake Schema; built end-to-end ETL pipelines in SSIS with SCD Type 2 and Accumulating Fact Tables handling complex business logic. Deployed OLAP Cube via SSAS enabling Roll-up, Drill-down, Slice, Dice, and Pivot operations for multi-dimensional analysis across business units. Delivered executive Power BI dashboards with Matrix visuals, Cascading Slicers, Drill-through; integrated Excel OLAP PivotTables connected live to SSAS for self-service analytics.
View ProjectCampus Resource Management System
April 1, 2026 – Present
Designed and developed a secure campus resource management system using Spring Boot, React, MongoDB, JWT, and Google OAuth 2.0, incorporating RBAC, user analytics dashboards, and event-driven notifications to improve resource accessibility and engagement monitoring.
View ProjectHR Analytics Dashboard
March 1, 2026 – Present
Analyzed 1,470 employee records to identify a 16% attrition rate; surfaced that R&D accounts for 56% of total attrition, enabling targeted HR retention strategies. Built interactive Power BI dashboard with 6 KPIs (active headcount, average tenure, attrition rate) and dynamic department-level filters for stakeholder-specific views.
View ProjectE-Commerce SQL Data Analysis
January 1, 2026 – Present
Designed a normalized relational schema (4 tables); authored 10+ complex queries using JOINs, subqueries, window functions, and aggregates to analyze customer behavior. Identified a 10% loyal customer segment and extracted Rs. 415K in revenue insights from transactional data to inform marketing strategy.
View ProjectOnline Retail Sales Dashboard
January 1, 2026 – Present
Processed 48,780+ retail transactions; cleaned 2,228+ invalid records using Power Query to ensure data quality before analysis. Built an interactive Excel dashboard tracking £955K total revenue; identified December sales as 6x higher than January, informing seasonal pricing strategy.
View ProjectWorkshop Management System
March 1, 2025 – June 1, 2026
Developed a full-stack workshop management application using the MERN stack, enabling workshop registration, real-time data management, search and filtering, and automated PDF reporting to enhance operational efficiency.
View ProjectMicrosoft Azure Fundamentals
Microsoft Learn
June 1, 2026 – Present
AWS Cloud Fundamentals
AWS Training & Certification
June 1, 2026 – Present
MongoDB - Python Developer Path & MongoDB Atlas Administrator Path
MongoDB
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects showcase a diverse range of applications, from warehouse management and HR analytics to e-commerce and campus resource systems, indicating adaptability and a broad interest in applying data skills across different domains. The pursuit of certifications in Azure, AWS, and MongoDB further highlights a proactive, self-driven learning approach. The candidate's focus on data analytics, business intelligence, and data engineering aligns well with a Data Analyst role, demonstrating a clear career path and enthusiasm for the field. The academic nature of all projects means that experience in team collaboration within a professional setting is not evident, which is a common aspect of cultural fit.
Soft Skills & Operational Fit
The candidate's project descriptions indicate strong problem-solving and analytical skills, with a clear focus on leveraging data for business decision-making. The academic projects demonstrate an ability to work on end-to-end solutions, from data ingestion and cleaning to visualization and predictive modeling. The candidate is currently an undergraduate, suggesting a strong learning aptitude and a proactive approach to acquiring new skills, which aligns well with dynamic operational environments. However, without professional experience, the application of these skills in a real-world, collaborative, and fast-paced setting is yet to be validated.