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                                                   Candidate's Name
                         EMAIL AVAILABLE | PHONE NUMBER AVAILABLE | LinkedIn | Tableau | GitHub | Arlington, VA
 Summary
   Dynamic and result-oriented BI/Data Analyst with expertise in Data Modeling, Automation, and Advanced Analytics.
   Proven track record in leveraging Python, SQL, Tableau, and AWS to innovate, build, and maintain data solutions.
   Skilled in cross-functional collaboration, project management, and process optimization. Seeking to apply analytical and project
   management expertise to support sourcing strategies and process improvements at Walmart.
 Experience
 BI/Data Analyst - Goldman Sachs                                                                                   Oct 2023 - Present
   Enhanced decision-making processes by developing Alteryx automation canvases, reducing manual touchpoints by ~40%, and
    streamlining operations.
   Automated data gathering and reporting processes, resulting in a ~90% reduction in the time required for financial settlements,
    enabling faster analysis and execution of sales strategies.
   Collaborated with cross-functional teams to create POCs and prototypes, integrating data-driven insights into strategic decisions,
    and enhancing client engagement and trust.
   Maintained and optimized cloud-based data models, improving data accuracy and reducing preparation time by 10%, supporting
    real-time forecasting and decision-making.

Business Analyst Intern - Infiniqo                                                                               May 2022 - Aug 2022
   Led process improvement initiatives, developing a Business Requirement Document that ensured the timely delivery of 20% of
    project milestones, directly supporting key sourcing and sales strategies.
   Improved operational efficiency by 10% through the creation of Tableau dashboards, providing clearer insights into sales
    performance and customer trends, and aiding strategic sourcing decisions.
   Designed a cyber risk assessment model, providing quantitative analysis to evaluate and mitigate risks, aligning with sourcing
    strategies for secure supply chain operations.

Data Analyst - Transworld Technologies                                                                       Oct 2020 - April 2021
   Conducted ad-hoc analysis to support sourcing and procurement decisions, leading to a 10% increase in process efficiency across
    various departments.
   Implemented new fleet management strategies, reducing operational costs by 15%, and contributing to more resilient and
    cost-effective supply chain operations.

Data Engineering Intern - DeepEcom                                                                          Sep 2019 - April 2020
   Developed automated scripts using Python to extract product data, reducing processing time by 36%, and supporting efficient data
    management and reporting in sourcing events.
   Streamlined data processing with advanced techniques like Regular Expressions (Regex), optimizing data aggregation for better
    sourcing analysis.

 Skills
   Programming Languages: Python, R, SQL, JavaScript, Shell
   Data & Analytics Tools: Tableau, PowerBI, Looker, Alteryx, SAS, Snowflake, Databricks, AWS, MySQL, Seaborn, Matplotlib
   Data Engineering & Processing: ETL/ELT Processes, Data Modeling, Data Warehousing, Data Quality Management
   Machine Learning: Predictive Analytics, Regression Models, Clustering, A/B Testing, Hypothesis Testing, XGBoost, PyTorch,
   Scikit-Learn, SMOTE
   Project Management: Git, Confluence, Agile Methodologies, Stakeholder Management, Process Improvement, Risk Assessment

 Relevant Academic Projects
 Analytical Visualization Tool for Infrastructure Impact | Python, NumPy, Matplotlib, Tableau                                [Link]
   Analyzed New York City's gas, electricity, and telecommunications infrastructure, pinpointing critical vulnerabilities.
   Developed an analytical tool to quantify economic and social impacts, guiding strategic capital planning decisions.

 CFPB Complaints Case Study Analysis | Python, Pandas, NumPy, XGBoost, Scikit-Learn                                          [Code]
   Built consumer dispute classification models using XGBoost, reducing operational costs by over 50%.
   Enhanced model accuracy by applying SMOTE, cutting customer dispute rates by ~25%.

 Airbnb Rentals Analysis in New York City | Python, SQL, Tableau Prep, Tableau Desktop
   Conducted market analysis to target homeowners and potential investors looking to start an Airbnb rental business.
   Developed visualizations in Tableau to recommend buying single-family homes/apartments near Brooklyn.
Education
MS Management of Technology, New York University, GPA 3.7