Nida Sharief
@nidasharief
Data Science Lead delivering machine learning, predictive models, and executive dashboards for mission-driven agencies.
United StatesWhat I'm looking for
I’m a Data Science Lead with 6+ years of experience driving analytics strategy and delivering machine learning, predictive modeling, and data visualization solutions across federal agencies, including the Department of State and Homeland Security.
In my current role as a Senior Data Science Consultant at Guidehouse, I lead end-to-end delivery of data science, machine learning, and business intelligence—owning executive dashboards in Tableau and Power BI, and transforming legacy Excel reporting into automated ETL pipelines and repeatable data workflows. I’ve used Python and Power Automate to reduce processing from hours to minutes, designed scalable ETL workflows integrated with Databricks, and deployed regression/forecasting models to support operational performance and resource planning.
I also bring strong Agile leadership and stakeholder partnership. I’ve managed and mentored teams of 2–3 data scientists, led multiple concurrent Agile/Scrum projects, and served as the primary point of contact—translating complex analysis into executive-ready insights through dashboards, reports, and meeting materials. Earlier roles strengthened my foundation through Tableau/Power BI dashboard delivery, SQL-based web analytics, and automation that improved accuracy and reduced manual effort.
Experience
Work history, roles, and key accomplishments
Led end-to-end delivery of machine learning, data engineering, and business intelligence solutions, improving executive visibility into workforce lifecycle and staffing pipeline performance via Tableau and Power BI dashboards. Transformed legacy Excel reporting into automated ETL workflows (reducing processing from hours to minutes) and deployed regression/forecasting models to support operational
Developed executive Tableau dashboards for Department of Defense stakeholders to provide real-time insights into personnel allocation and operational efficiency for 5-year strategic planning. Built automated data pipelines in Tableau Prep, standardizing reporting across multiple datasets, and supervised/mentored a team of 2 junior data scientists.
Designed ETL processes and linear regression models to improve forecasting for funding allocation and contract prioritization. Built Tableau and Power BI dashboards for real-time web traffic and operational metrics using SQL Server analytics, and coordinated a 50+ participant company hackathon to generate actionable insights from participation data.
Developed interactive dashboards in Tableau and Power BI to deliver actionable insights for business and operational decision-making. Collaborated with clients on advanced analytics and intelligent automation using Python, R, and SQL, streamlining data processes and improving analysis accuracy.
Reporting Analyst
IT Coalition
Nov 2019 - Feb 2021 (1 year 3 months)
Led data-driven efforts to optimize employee task utilization by identifying surplus/deficit areas and improving resource allocation efficiency. Built an automated Excel invoice workbook achieving over 98% accuracy and created Power BI/Excel VBA productivity dashboards to track workload and reduce repetitive manual reporting.
Education
Degrees, certifications, and relevant coursework
George Mason University
Master of Engineering, Data Analytics Engineering
Master of Engineering (MS) in Data Analytics Engineering at George Mason University, completed May 2022.
George Mason University
Bachelor of Science, Biology
2019 -
Bachelor of Science (BS) in Biology with a minor in Computer Data Science at George Mason University (started Aug 2019).
Availability
Location
United StatesAuthorized to work in
Job categories
Skills
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