Data Analyst Machine Learning

Binaya Khadka

Data Analyst

Portland, OR 503-***-**** ***************@*****.*** Open to relocation SUMMARY

Seeking a Data Analyst role to apply 5 years of experience in data analysis, visualization, and SQL, leveraging Python and cloud platforms to deliver valuable innovation that improves work standards and elevates business performance. SKILLS

Libraries & Frameworks: NumPy, Pandas, SciPy, Matplotlib, Seaborn, Scikit-learn Data Visualization: Tableau, Power BI, Advanced Excel Cloud & Data Warehousing: AWS (Redshift), Azure, Snowflake, GCP (BigQuery) Databases: MySQL, PostgreSQL, SQL Server

Methodologies: Agile, SDLC, Waterfall

Collaboration & Workflow: Jira, GitHub, SharePoint Other Tools: VBA, Machine Learning

EXPERIENCE

Kroger Jul 2023 - Present

Data Analyst USA

• Analyze large-scale datasets with SQL and Python (PySpark, Seaborn) to identify operational inefficiencies, implementing process changes that cut costs by 25%.

• Establish KPIs, success metrics, and SLAs to monitor asset utilization and efficiency across 5 teams, driving sustained improvements in operational performance.

• Build predictive models and conduct EDA in Python (Pandas, Scikit-learn) to support A/B tests that improve process efficiency by 18%.

• Automate recurring reports and data-quality checks, cutting manual effort in half and ensuring consistent data accuracy across departments.

• Design interactive Tableau dashboards that reduce report review time from 40 to under 15 minutes, boosting stakeholder engagement by 45%.

• Lead client engagements, resolve technical issues within SLA, and strengthen relationships to achieve 98% client satisfaction and 20% growth in repeat business.

HCL Tech Jan 2021 - Jun 2023

Data Analyst USA

• Managed end-to-end data analysis projects in Agile environments, improving cross-team collaboration and speeding project delivery by 20%.

• Utilized Python (Pandas, PySpark, Matplotlib) and SQL to analyze complex datasets, uncover hidden patterns, and generate actionable business insights that influenced strategic planning.

• Processed and analyzed over 20M records using Excel (Power Query, DAX, VBA) and Python, reducing preparation time and enabling faster reporting cycles.

• Built and maintained interactive Power BI reports to visualize KPIs and performance metrics that shortened decision-cycle time for executives.

• Enhanced reporting accuracy by refining Redshift schemas and enforcing data integrity checks, eliminating discrepancies that caused approval delays.

• Boosted SQL queries with indexing and advanced functions, cutting runtime by more than half and increasing reporting output capacity.

• Implement data governance and documentation standards to ensure consistent data definitions, improve cross-team data understanding, and reduce onboarding time for new analysts by 30%. EDUCATION

Master of Science in Computer Science Dec 2020

University of Texas at Arlington Arlington, Texas

Contact this candidate