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Hi, I’m Hemanth Kumar Darsi, a data analyst based in New Jersey, USA. I specialize in turning messy data into reliable insights that help teams monitor KPIs and make timely operational decisions. Over nearly three years, I’ve led validation checks, redesigned data processes, and built dashboards with SQL, Python, Power BI, and Tableau that 50+ stakeholders rely on. I value collaboration, attention to detail, and clear communication to translate business needs into analytical solutions.…Hi, I’m Hemanth Kumar Darsi, a data analyst based in New Jersey, USA. I specialize in turning messy data into reliable insights that help teams monitor KPIs and make timely operational decisions. Over nearly three years, I’ve led validation checks, redesigned data processes, and built dashboards with SQL, Python, Power BI, and Tableau that 50+ stakeholders rely on. I value collaboration, attention to detail, and clear communication to translate business needs into analytical solutions.

Hemanth Kumar Darsi

Data Analyst, Data Scientist, Data Visualizer, +2

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Hi, I’m Hemanth Kumar Darsi, a data analyst based in New Jersey, USA. I specialize in turning messy data into reliable insights that help teams monitor KPIs and make timely operational decisions. Over nearly three years, I’ve led validation checks, redesigned data processes, and built dashboards with SQL, Python, Power BI, and Tableau that 50+ stakeholders rely on. I value collaboration, attention to detail, and clear communication to translate business needs into analytical solutions.…Hi, I’m Hemanth Kumar Darsi, a data analyst based in New Jersey, USA. I specialize in turning messy data into reliable insights that help teams monitor KPIs and make timely operational decisions. Over nearly three years, I’ve led validation checks, redesigned data processes, and built dashboards with SQL, Python, Power BI, and Tableau that 50+ stakeholders rely on. I value collaboration, attention to detail, and clear communication to translate business needs into analytical solutions.

Available to hire

Hi, I’m Hemanth Kumar Darsi, a data analyst based in New Jersey, USA. I specialize in turning messy data into reliable insights that help teams monitor KPIs and make timely operational decisions.

Over nearly three years, I’ve led validation checks, redesigned data processes, and built dashboards with SQL, Python, Power BI, and Tableau that 50+ stakeholders rely on. I value collaboration, attention to detail, and clear communication to translate business needs into analytical solutions.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Work Experience

Data Analyst at Northern Trust

February 1, 2025 - August 1, 2025

Improved data accuracy across core platforms by validating data flows and fixing inconsistencies, reducing downstream reporting issues by 25%. Used SQL and Python to analyze large financial datasets, identify patterns, and flag data gaps supporting planning for multi-million dollar portfolios. Created and updated Tableau and Power BI dashboards monitoring KPIs and audit indicators used weekly by leaders across departments. Prepared targeted datasets and ran exception checks for internal audits, shortening review cycles by 20% during global assessments. Collaborated with product and operations teams to define requirements, write test cases, and execute UAT on data process updates, resulting in ~90% fewer rework requests after deployment.

Data Analyst at Genesis Softtech

April 1, 2021 - July 1, 2023

Explored large datasets with SQL and Python to fix data quality issues, improving the accuracy of weekly and monthly reports used by multiple internal teams. Designed Power BI and Tableau dashboards tracking sales, marketing, and operations metrics, helping reduce manual reporting time by 25–30%. Cleaned and prepared data from SQL databases, Excel files, and API pulls to ensure consistent data flow and reduce rework by ~15%. Analyzed customer and campaign data to identify behavior patterns, retention trends, and performance gaps to inform planning discussions. Monitored operational KPIs to identify delays and inefficiencies, improving process turnaround times across several projects. Collaborated with developers, testers, and project leads to validate data requirements and integrate new data sources into reporting.