About Me
Driven-driven Junior Data Analyst with 3+ years and a Bachelor’s Degree in Computer Science, experience focused on mission impact, requirement gathering data cleaning and building Dashboards in Data Analytics. Proven tra…
Driven-driven Junior Data Analyst with 3+ years and a Bachelor’s Degree in Computer Science, experience focused on mission impact, requirement gathering data cleaning and building Dashboards in Data Analytics. Proven track record in Power BI, Python, Tableau and Structured Query Language (SQL). Achieved 99.36% in accuracy on Artificial Intelligence Model, demonstrates ability to deliver measurable, rigorously validated model performance on internship with the federal government. Built and deployed multiple end-to-end projects (Streamlit, Power Bi, Tableau, ETL pipeline. Built Oil Analysis Power BI Dashboard transforming complex trade dataset into drill-down geographic visualization. Driven Analyst dedicated to supporting the government agency by analyzing and processing sensitive data to meet deadlines and support defense cohesive mission with eligibility for Public Trust Clearance.
Experience
Data Analytics & Development Apprentice
<p>Built end-to-end predictive model by data cleaning using Python and scikit-learn regression/ML techniques to forecast alumni salaries, improving model accuracy by 40% and supporting evidence-based decision-making with data visualizations.</p><p> Analyzed procurement and acquisition decision-making, Cleaned, transformed, and aggregated raw datasets using Python (Pandas) and Structured Query Language(SQL); performed data quality checks and validation on modeling results to ensure accurate, error-free outputs and created data visualization and reports.</p><p> Designed and deployed a Django user interface to host predictive models and visualizations, explaining data to non-technical stakeholders and technical audiences with self-service analytics products.</p><p> Optimized Structured Query Language(SQL) database schemas and resolved data integration issues; collaborated with other team members to troubleshoot problems and proactively design solutions.</p><p> Documented queries, transformation logic, model parameters, and expected outcomes to support team reproducibility that translate business requirement into scalable analytics solution and provide evidence-based recommendations</p>
Data Analyst
<p>Dedicated five years of hands-on project with Curiosity mindset with continuous development of my skills.</p><p> Completed Coding Temple Certification and undertook freelance projects to build detail-oriented robust portfolio in data analyst.</p><p> Developed strong creative problem-solving skills and eager to learn more.</p>
Department of Defense Intern
<p>Built and tuned predictive Artificial Intelligence model applying parameter estimation, hyperparameter tuning, and statistical evaluation, achieving 99.36% validation accuracy</p><p> Performed quality checks on modeling results, evaluated accuracy-runtime tradeoffs, and identified trends and anomalies behind model performance variations.</p><p> Communicating complex PowerPoint presentation technical Information through Research findings to DOD officials and non-technical stakeholders through clear written narratives, visualizations through using clear communication of finding presentation.</p><p> Collaborated within a 10-person cross-functional team using Agile methodologies to deliver projects independently and on short deadlines.</p>
PROJECTS
Salary Prediction Analysis
<ul><li>Cleaned and preprocessed large-scale data analysis job postings using Pandas, applying IQR-based outlier removal and resolving randomly imputed location data that was corrupting cost-of-living features across the dataset.</li><li>Conducted end-to-end exploratory data analysis with Matplotlib, Seaborn, and Plotly, producing interactive data applications of salary distributions, skill frequency, and feature correlations to create actionable insights.</li><li>Engineered features and trained four regression models (Linear Regression, Random Forest, XGBoost, LightGBM) using scikit-learn; diagnosed and root-caused negative R² scores as a data quality issue rather than a modeling failure, documenting findings transparently.</li><li>Built and deployed an interactive Streamlit dashboard to Streamlit Community Cloud, enabling recruiters and hiring managers to filter salary trends by location, experience level, company size, and skill set in real time.</li></ul><p></p>
Oil Export Analysis — Power BI Dashboard - Jr Data Analyst
<ul><li>Analyzed procurement and acquisition decision-making, Transformed reporting requirements U.S. trade datasets into an interactive Power BI dashboards with drill-down views and reporting assets, Trend Identification, dynamic charts, data visualizations and geographic visualizations.</li><li>Applied Power Query (DAX) measures and used advance Excel data analysis sections and used data modeling to turn numbers into plain language and create actionable insights, enabling stakeholders communication to make data-driven program and economic decisions.</li></ul><p></p>