About Me
Detail-oriented Computer Engineering graduate (2026) with hands-on experience in data analytics, ETL, exploratory data analysis (EDA), statistical analysis, dashboard development, and machine learning. Skilled in Python,…
Detail-oriented Computer Engineering graduate (2026) with hands-on experience in data analytics, ETL, exploratory data analysis (EDA), statistical analysis, dashboard development, and machine learning. Skilled in Python, SQL, Power BI, Tableau, and Advanced Excel, with a track record of transforming raw, unstructured data into actionable business insights and KPI-driven reports. Seeking an entry-level Data Analyst role to apply strong analytical and data storytelling skills, with a long-term goal of growing into a Data Scientist.
Experience
Data Analyst Intern
<p>Developed interactive Power BI dashboards to analyze training, placement, and business performance data, improving visibility into key operational metrics.</p><p> Cleaned, transformed, and prepared datasets using Excel and Power Query, ensuring data accuracy and consistency for downstream reporting.</p><p> Designed KPIs, slicers, charts, and interactive visualizations to track and communicate business performance metrics.</p><p> Performed exploratory data analysis to identify trends, patterns, and actionable insights from organizational data.</p><p> Applied DAX measures and calculated columns to support dynamic, self-service reporting and KPI analysis.</p><p> Collaborated cross-functionally to gather reporting requirements and present findings in a clear, decision-oriented format.</p>
Data Science Intern
<p>Preprocessed 10,000+ row datasets (handling missing values, outliers, and formatting issues), cutting data preparation time by ~40%.</p><p> Built EDA reports and Python-based visualizations (Pandas, Matplotlib) that surfaced 5+ actionable business trends.</p><p> Benchmarked 4+ machine learning algorithms using accuracy, precision, recall, and F1-score to select the best-performing model.</p><p> Documented reproducible data analysis workflows and presented insights to stakeholders.</p>
PROJECTS
AI-Based Anomaly Detection Agent
<p>Developed an AI-powered anomaly detection agent to identify unusual patterns and anomalies in business data such as revenue, orders, traffic, conversion rate, costs, and refunds. Built an interactive dashboard using Python and Streamlit, integrated AI-based analysis for anomaly insights, and presented results through visualizations to support faster and data-driven decision-making.</p>