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Data Analyst with less than a year in SQL, Python, & Data Visualization
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 undergraduate with hands-on experience in SQL, Python, and data visualization, focused on turning raw data into clear, actionable insight. Skilled in data cleaning, exploratory analysis, and dashboard design, with practical project work spanning customer analytics and applied NLP. Co-author on an accepted IEEE research paper. Looking to bring strong analytical and communication skills to a data analyst role.
Kalinga Institute of Industrial Technology
B.Sc. Computer Science · Computer Science
August 1, 2022 – June 30, 2026
BDM International
12th
June 1, 2019 – May 31, 2021
South Point High School
10th
June 1, 2007 – May 31, 2019
Customer Trends Data Analysis
June 1, 2026 – June 1, 2026
Cleaned and analyzed a retail transaction dataset of 10,000+ records using SQL and Python, resolving data quality issues prior to analysis. Performed exploratory data analysis to identify 100 distinct customer segments and key purchasing patterns, surfacing insights to support marketing decisions. Designed interactive Power BI dashboards tracking revenue, retention, and purchase-frequency KPIs for non-technical stakeholders.
View ProjectLegal Text Summarizer
June 1, 2026 – June 1, 2026
Co-developed a Flask-based NLP application with a 3-person team to automatically summarize lengthy legal verdicts using Hugging Face transformer models. Cut average document review time from 100+ pages to under 4 minutes (a ~95% reduction), directly improving workflow efficiency for legal professionals. Built the front-end interface (HTML, CSS, JavaScript) and integrated it with the summarization backend for a smooth end-to-end user experience.
Deep Learning-Based Soil Classification: A Comparative Analysis of CNN Architectures
IEEE Conference Publication
January 1, 2025 – Present
Cultural Fit Analysis
The candidate's academic projects show a diverse interest in data analysis and NLP, aligning with an analytical and innovative culture. Participation in a competitive programming camp and volunteer work suggests a driven, collaborative, and socially conscious individual. However, the lack of professional experience means cultural fit is primarily inferred from academic and extracurricular activities.
Soft Skills & Operational Fit
The candidate demonstrates strong analytical and problem-solving skills through project work and competitive programming. Their ability to communicate insights to non-technical stakeholders (Power BI dashboards) and collaborate in a team (Legal Text Summarizer) suggests good operational fit. The volunteer work indicates a proactive and community-oriented attitude.