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Data Analyst with less than a year in Data Analytics & IT
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Computer Science Engineering graduate with strong foundation in Data Analytics and IT. Skilled in Python, SQL, Power BI, and Excel for data cleaning, analysis, and visualization. Experienced in building machine learning models and interactive dashboards. Seeking entry-level Data Analyst role to apply analytical skills and deliver data-driven insights for business growth.
University College of Engineering (BIT Campus)
Bachelor of Engineering · Computer Science Engineering
January 1, 2019 – January 1, 2023
Machine Learning-Based Tourism Recommendation System
June 17, 2026 – Present
Analyzed tourism datasets to identify user preferences and travel patterns. Built a recommendation model to suggest personalized travel destinations. Improved recommendation accuracy by 20% through data preprocessing and feature selection.
Online Examination System
June 17, 2026 – Present
Designed and developed a web-based online examination platform. Created a user-friendly interface for test-taking and result display. Reduced manual exam processing time by 40%.
Power BI Certification
Unknown
June 1, 2026 – Present
Python Certification
Unknown
June 1, 2026 – Present
SQL Certification
Unknown
June 1, 2026 – Present
Tally Certification
Unknown
June 1, 2026 – Present
Typewriting (English)-Higher Grade
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects show a breadth of interest from machine learning to web development. The certifications indicate a proactive approach to skill development. While the projects are academic, they demonstrate an ability to apply learned concepts. The lack of professional experience makes it difficult to fully assess cultural fit in a corporate environment, but the project diversity and skill acquisition suggest adaptability and a willingness to learn.
Soft Skills & Operational Fit
The candidate lists Analytical Thinking, Problem Solving, Teamwork, and Time Management as soft skills. These are valuable for a Data Analyst role, indicating a potential for effective collaboration and problem-solving. However, without practical experience, the operational fit is theoretical.