Dhanush Chandra Sekhar
******************@*****.*** linkedin.com/in/dhanush-chandra012
Data Analyst with experience in healthcare and supply chain analytics. Skilled in SQL, Python, and Power BI to manage large datasets, automate reporting and uncover insights that improve operational efficiency and reduce costs. Strong background in ETL design, model validation and data-driven decision support.
TECHNICAL SKILLS
Programming: Python (Pandas, NumPy), SQL, Power Automate Reporting & Visualization: Power BI, Tableau, Excel (PivotTables, Nested IF, VLOOKUP, Array Formulas) Data Management: ETL, Data Validation, Cleansing, Automation, Forecasting Cloud: Snowflake, Google Cloud, AWS
Certification: Data Analytics using Google Cloud, AWS Cloud Practitioner Essentials. PROFESSIONAL EXPERIENCE
Data Analyst Aivante, CO (Remote) Jun 2025 – Present
● Responsible for maintaining the accuracy, consistency, and reliability of analytical dashboards tracking healthcare cost patterns and model performance.
● Monitored data pipelines to ensure data integrity across reporting layers.
● Enhanced existing dashboards and data models to improve usability, performance, and alignment with client reporting needs.
● Collaborated with data science and product teams to validate model outputs and ensure alignment between analytical insights and business logic.
● Performed model testing and validation across 8+ API endpoints to verify data flow accuracy and dependency sequencing.
● Introduced process checks and data validation routines that reduced dashboard update errors and improved reporting turnaround time by 35%.
BI Analyst Intern Koyetech, CT (Remote) Jul 2024 – Jun 2025
● Analyzed large datasets from SQL, Excel, and Power BI to track transportation and logistics KPIs.
● Designed carrier performance dashboards that improved visibility into delivery timelines and cost metrics.
● Identified route inefficiencies and performance gaps, contributing to a 15% improvement in delivery consistency.
● Built automated Excel tools using PivotTables and macros for daily performance score tracking.
● Partnered with operations teams to refine routing workflows and boost carrier engagement. Data Analyst Infosys, Bengaluru, India Sep 2021 – Aug 2022
● Optimized Snowflake SQL queries by 25% through query restructuring, indexing, and partitioning.
● Automated manual reporting with Python pipelines, cutting processing time to 45 minutes.
● Built ETL pipelines that improved data freshness from daily to hourly, giving finance teams near real-time insights.
● Implemented data validation checks that reduced reporting errors by 30%.
● Created Tableau dashboards for sales and marketing KPIs, cutting manual reporting time by 80% and improving accessibility.
PROJECTS
YouTube Analytics Dashboard
● Automated data extraction for more than 9,000 videos using the YouTube Data API and stored results in PostgreSQL.
● Built a Python (Pandas) ETL pipeline to clean and standardize video metadata.
● Designed Tableau dashboards highlighting trends in top-performing content, viewer engagement, and upload frequency.
Customer Churn Analysis
● Built a predictive model in Python to identify high-risk customers based on behavior and account attributes.
● Used Snowflake and Pandas for feature engineering and data transformation; deployed a scoring API with Flask and Docker.
● Created documentation and Excel dashboards for churn monitoring and business presentation. EDUCATION
MS in Information Technology 2024
Arizona State University GPA: 3.4
BTech in Electronics and Communication Engineering 2021 Reva University GPA: 3.7