Ready for Launch

Sai Chowdary Devilliers

Data Analyst with 3+ years of experience transforming complex datasets into actionable insights to drive business performance. Proficient in advanced data analysis, statistical modeling, and developing interactive visualizations across diverse platforms. Expertise spans Python, SQL, R, Pandas, and cloud platforms like AWS, Azure, and Google Cloud Platform. Adept at building and maintaining databases, defining data acquisition logic, and creating robust dashboards with Tableau and Power BI. Focused on identifying trends, optimizing operational metrics, and supporting data-driven decision-making to enhance efficiency and productivity.

United states [email protected] +1 940 268 3276

Flight Log

Data Analyst

Vida Health

Mar 2024 — Present

Analyzed diverse health data using SQL and Excel to uncover key trends in member program participation and overall health outcomes for individuals.
Developed interactive dashboards and reports using data visualization tools to communicate actionable insights on program effectiveness to various stakeholders.
Built and maintained robust data pipelines to acquire and integrate structured and unstructured data from various sources for in-depth analytical purposes.
Performed detailed statistical analysis on behavioral and clinical data to evaluate organizational methods and continuously improve data accuracy and reliability.
Created custom scripts using Python and Pandas to automate data extraction, transformation, and loading processes for recurring analytical tasks and reporting.
Provided data-driven insights to support forecasting and capacity planning for health coaching resources and overall program enrollment at Vida Health.
Identified opportunities for program growth and service improvement by mining complex datasets related to user engagement and therapeutic interventions.
Assessed data quality and consistency across multiple platforms, implementing measures to ensure data reliability for critical business and operational decisions.
Designed data models to structure patient progress and program adherence information, facilitating efficient data retrieval and comprehensive analysis.
Conducted A/B tests to measure the impact of changes in health program content and delivery on user outcomes and member satisfaction.

AI Engineer

Ameritas Life Insurance

Apr 2021 — Jul 2023

Defined key performance indicators (KPIs) and analytical requirements in collaboration with business stakeholders to address critical financial product performance questions.
Designed and maintained interactive dashboards using Tableau and Power BI, consolidating diverse financial datasets for executive decision-making and trend identification.
Implemented scalable data acquisition and integration logic, connecting various internal and external financial data sources to support comprehensive analysis.
Developed Python scripts with Pandas to automate data extraction, transformation, and loading processes for actuarial models and risk assessment reporting.
Generated accurate financial forecasts and operational metrics using SAS and Excel, supporting strategic planning for new insurance product launches and resource allocation.
Identified critical trends and risk factors within complex insurance claim data by performing in-depth statistical analysis to inform underwriting policy adjustments.
Optimized SQL queries and database schemas in PostgreSQL, enhancing the efficiency of data retrieval for Business as Usual (BAU) operational reporting and analytics.
Conducted comprehensive data mining and evaluation on customer behavior datasets to uncover patterns, improving data accuracy and supporting targeted marketing initiatives.
Managed database design and implemented data governance policies for financial records, ensuring data integrity and compliance with industry regulations.
Performed advanced segmentation techniques on policyholder data using Python to identify distinct customer groups, enabling personalized service strategies and product development.

Systems & Tech

Cloud Platforms: AWS

Azure

Google Cloud Platform

Development Tools: Git

Jupyter Notebooks

Visual Studio Code

DBeaver

Statistical Tools: Excel

SPSS

SAS

Data Engineering & ETL: Apache Airflow

Apache Spark

Fivetran

APIs

dbt

Data Visualization & BI: Tableau

Power BI

Looker

Data Studio

Grafana

Programming & Scripting: Python

SQL

Pandas

Python (NumPy)

Python (Matplotlib)

Python (Seaborn)

Databases & Data Warehousing: PostgreSQL

MySQL

Microsoft SQL Server

AWS S3

AWS Redshift

Google BigQuery

Snowflake

Training Academy

M.S Data Science

NJIT-Ying Wu College of Computing

Jan 2025