Prashanth Kumar Gade
Data Analyst | Financial Modeling | Python, SQL, Tableau | ETL & Cloud Platforms (AWS, Azure, GCP) | Driving Data-Driven Decisions | MS in Data Science - SUNY Albany
- Role
- Data Analyst at Robert Half
- Location
- Albany, NY, US
- LinkedIn followers
- 500 followers
About Prashanth Kumar Gade
Detail-oriented Data Analyst with 3+ years of experience driving data-informed decision-making across financial operations, capital planning, and compliance. Proven ability to design predictive models, automate financial reporting, and lead end -to-end data workflows using Python, SQL, Tableau, Power BI, and Excel. Skilled in cloud platforms including AWS (S3, Redshift, Glue), Azure (ADF), and GCP (BigQuery), and experienced with ETL tools like Apache Spark, Informatica, and dbt. Strong background in financial modeling (DCF, ROI, IRR), variance analysis, and GAAP/SOX compliance, with a successful track record of optimizing reporting cycles by up to 60%, improving forecast accuracy, and supporting multi-million-dollar investment decisions. Skills : Python | SQL | Java | ScikitLearn | TensorFlow PyTorch | OpenCV | SciPy | MATLAB | Tableau | AWS | Windows | Machine Learning | Statistics | Web Development | Apache Spark | Hadoop | Kafka | dbt | Apache Airflow | Informatica | Talend | Snowflake | PostgreSQL | MySQL | MongoDB | Redshift | BigQuery | Oracle Financials | SAP FICO | NetSuite | MS Access | QuickBooks
Experience
Data Analyst
Aug 2025 — Present · Albany, NY, US
Analyzed data from inspections, preservation activities, and maintenance procedures to detect trends, anomalies, and improvement opportunities.•Developed and maintained dashboards and reports to provide real-time insights to management, Technical Advisors, and the Quality team.•Ensured data integrity and accuracy by validating records and cross-referencing information from multiple sources.•Worked alongside engineering and technical teams to translate complex data findings into actionable strategies.•Identified performance gaps and recommend enhancements to optimize operational efficiency.•Supported regulatory compliance by organizing and interpreting data related to industry standards and OEM guidelines.•Assisted in forecasting equipment reliability and maintenance needs through predictive analytics.•Presented findings to stakeholders using clear visualizations and reports, ensuring decision-makers have the information needed for strategic planning.
Education
Sreenidhi Institute of Science and Technology
Bachelor of Technology - BTech, Information Technology
2018 — 2022
University at Albany
Master's degree, Data Science
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