Open to opportunities

Nikhil Kumar Kesani

@nikhilkumarkesani

Message

I turn complex datasets into reliable dashboards, automated reporting, and actionable insights.

United States

Message

What I'm looking for

I'm looking for data-focused work where I can automate data pipelines and reporting, build reliable dashboards, investigate data quality issues, and partner with stakeholders to turn complex analysis into actionable decisions.

At Health Research Inc., I build SQL and Python workflows that make large datasets more accessible, reduce manual processing, and strengthen data reliability. I've developed dashboards and automated reporting in Power BI, Tableau, and Redash to help stakeholders make timely decisions.

Previously, as a Data Science Research Assistant at the University at Albany, I automated NHANES data processing across five survey cycles, analyzed more than 1,200 variables, and supported machine learning validation for disease classification.

I've also worked with environmental and sensor data at EFORGE NexGen Innovations, using exploratory analysis, data validation, and machine learning features to improve recommendation accuracy and reporting workflows. I enjoy finding root causes, building scalable transformations with dbt, Redshift, and PostgreSQL, and communicating clear findings across teams.

Experience

Work history, roles, and key accomplishments

Current

Public Health Specialist II

Current

Health Research Inc. (HRI)

Aug 2025 - Present (1 year)

Developed over 50 complex SQL queries and Python scripts to extract and transform large datasets, improving data accessibility and reducing manual processing time by 30%. Designed interactive dashboards and automated reporting using Power BI, Tableau, and Redash to visualize key business metrics and support stakeholder decision-making.

SQL Python Power BI Tableau Redash DBT Redshift PostgreSQL Data Validation Workflow Automation AI Tools

Data Science Research Assistant

University at Albany, SUNY

Apr 2024 - Aug 2025 (1 year 4 months)

Prepared reusable Python scripts and SQL queries to automate data extraction and processing workflows across 5 NHANES survey cycles, enabling efficient dataset updates with minimal supervision. Analyzed over 1,200 variables through exploratory data analysis to identify distribution patterns, missingness, and outliers, informing model selection and study design.

Python SQL Machine Learning Data Visualization Git GitHub Statistical Analysis

Associate Data Analyst

EFORGE NexGen Innovations

Jan 2022 - Oct 2023 (1 year 9 months)

Developed over 50 complex SQL queries and Python scripts to extract and transform fragmented sensor data, improving dataset readiness and reducing manual processing time by 40%. Conducted exploratory analysis and data cleaning on multi-source environmental datasets, identifying and resolving 15% of data inconsistencies to enhance model input quality.

SQL Python Data Cleaning Machine Learning Feature Engineering Git GitHub Flask