Sahithya

Data Analyst

Amgen

Jan 2025 - Current (1 year 7 months)

• Applied Agile methodologies to manage and deliver scalable, cloud-based data solutions, ensuring timely execution and alignment with evolving business and stakeholder needs. • Designed and developed advanced Power BI dashboards for real-time KPI tracking and data visualization, enhancing reporting efficiency and enabling self-service analytics. • Enhanced the efficiency of core company KPI computation by 70% through comprehensive optimization of SQL code, analyzing millions of records to identify and implement performance improvements. • Built predictive models using Python(Scikit-learn, TensorFlow) to support drug efficacy analysis, increasing research efficiency by 25%. • Automated data validation processes using Pandas and SQL to

U

GIS Data Analyst

University of Memphis, CAESER

Mar 2023 - Dec 2024 (1 year 10 months)

• Created interactive geospatial dashboards using ArcGIS Online and Power BI, transforming complex spatial datasets into actionable insights for planning and decision-making. • Optimized spatial SQL queries and geoprocessing scripts, accelerating GIS data processing by 65% and enabling near real-time analytics on large spatial datasets. Built spatial predictive models using Python to forecast urban growth patterns, improving land-use planning accuracy by 30%. • Automated geospatial data validation and cleansing workflows using Python and SQL, reducing mapping errors and topological inconsistencies by over 45%. • Extracted patterns from unstructured location-based data (e.g., satellite images, field notes) using NLP and image classificat

H

Data Analyst

HCLTech,

Nov 2020 - Dec 2022 (2 years 2 months)

• Led a cross-functional team using a hybrid Agile-Waterfall model to successfully deliver scalable data solutions with clear timelines, stakeholder alignment, and full documentation across the entire project lifecycle. • Designed and maintained ETL workflows using SSIS and Talend, integrating data from multiple sources and automating pipelines to improve data quality and streamline business reporting. • Deployed and managed AWS S3 storage for large-scale structured and unstructured data, enabling secure, scalable access for analysts and significantly improving cost-efficiency in enterprise data environments. • Leveraged Apache Hadoop and Spark for high-volume data processing exceeding 10 TB, enhancing pipeline performance and improving

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Data Analyst

Hellinex Cloud,

Jul 2019 - Oct 2020 (1 year 4 months)

• Managed and processed huge datasets by Azure and Databricks, ensuring high levels of data accuracy and seamless accessibility for stakeholders. • Led data analysis projects using the Kanban methodology, meticulously managing each phase from requirement gathering to final implementation, ensuring project milestones were met on time. • Utilized SAS for advanced statistical analysis and predictive modeling, which improved forecast accuracy by 20% and informed strategic decision-making. • Performed detailed exploratory data analysis (EDA) using Python (Pandas, Matplotlib, Seaborn), identifying key sales trends and patterns that resulted in a 10% increase in sales strategy effectiveness and a 15% boost in operational efficiency. • Employe

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