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Bijay Pokhrel

@bijaypokhrel

Senior Data Scientist crafting cloud data pipelines and AI-driven analytics to turn complex data into executive-ready decisions.

United States

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What I'm looking for

I’m looking to lead BI and analytics efforts that modernize pipelines and dashboards—using cloud, forecasting, and AI—to deliver accurate, executive-ready insights, while growing into enterprise Business Intelligence Analyst and Business Analyst responsibilities.

I’m a results-driven Senior Data Scientist with 10+ years of experience designing cloud applications, building data pipelines, and delivering AI-enabled analytics across federal, education, and commercial environments. I’m known for translating complex outputs into clear insights through dashboards, reports, and executive presentations.

In my recent roles, I’ve chaired the design and delivery of cloud-based data pipelines using Python, SQL, and AWS—improving data processing efficiency by 40%—and implemented data validation and integrity frameworks to support 100% accuracy prior to executive and regulatory reporting. I’ve also led interactive dashboard development, reducing reporting turnaround time by 40%, and used forecasting and statistical modeling across 5M+ records to support policy and operational decisions.

My work blends data engineering, machine learning, and emerging generative AI concepts, including ETL automation that reduced data load times by 35% and forecasting models that improved prediction accuracy by 25–40%. I enjoy building scalable analytics platforms, strengthening data quality and governance, and mentoring cross-functional teams to raise analytics literacy enterprise-wide.

Experience

Work history, roles, and key accomplishments

Senior Statistical Data Analyst

U.S. Department of Education - Office for Civil Rights

Sep 2024 - Sep 2025 (1 year)

Chaired the design and delivery of cloud-based data pipelines using Python, SQL, and AWS, improving data processing efficiency by 40%. Implemented data validation frameworks to ensure 100% accuracy and reduced reporting turnaround time by 40% while supporting forecasting across 5M+ records.

Python SQL AWS Data Pipelines ETL Data Validation Power BI Tableau Forecasting Statistical Modeling

Data Scientist (Independent Consultant)

Independent Consultant

Dec 2023 - Aug 2024 (8 months)

Spearheaded cloud analytics solutions leveraging AWS, Python, and SQL to power scalable dashboards and reporting systems. Built ETL pipelines that reduced data load times by 35%, improved prediction accuracy by 25–40%, and deployed SARIMA/ARIMA forecasting to improve inventory accuracy by 15% and reduce forecast error (MAPE) by 10%.

AWS Python SQL ETL Machine Learning Forecasting SARIMA ARIMA Data Visualization Generative AI

Business Analyst / Data Analyst

Insight Global

Jun 2023 - Nov 2023 (5 months)

Guided requirements gathering for data visualization and reporting solutions aligned to organizational objectives. Developed Power BI and Tableau dashboards that improved leadership decision accuracy by 30% and reduced manual reporting cycles by 50% using enhanced SQL data models.

Power BI Tableau SQL Dashboarding Requirements Gathering Data Modeling Data Visualization

Senior Business Operations Analyst

Builders FirstSource

Jan 2022 - May 2023 (1 year 4 months)

Led cloud-based analytics modernization, reducing downtime by 45% and improving dashboard reliability. Implemented SQL-driven reporting and scalable dimensional data models (up 50%), and enforced data quality and validation to achieve 100% audit/compliance adherence while mentoring teams.

SQL Cloud Analytics ETL Dimensional Models Data Quality Data Validation

Senior Research Associate

Texas Institute for Applied Environmental Research

Jan 2017 - Dec 2021 (4 years 11 months)

Built ETL and analytics pipelines in Python and SQL, improving data accuracy and processing efficiency by 25% and reducing manual data processing by 50% through dashboarding. Developed end-to-end time series forecasting pipelines using ARIMA/SARIMA (data cleaning, feature engineering, backtesting, diagnostics, and hyperparameter tuning) to improve KPI forecast stability.

Python SQL ETL Data Visualization Time Series ARIMA SARIMA Data Cleaning

Research Assistant, Data Analytics

Louisiana State University

Jun 2013 - Aug 2016 (3 years 2 months)

Created predictive and statistical models using Python, R, and SAS to improve analysis accuracy by 35%. Enhanced SQL-based data validation and reporting/visualization workflows, reducing analysis cycles by 40% and increasing grant funding success by 20%.