Data Analyst Power Bi

Dhanush Dangay Kongithala Data Analyst

+1-216-***-**** *************@*****.*** LinkedIn

PROFESSIONAL SUMMARY

3+ years of experience in data modeling, extraction, transformation, and loading (ETL), ensuring data integrity and accuracy in healthcare analytics. Proficient in Python, SQL, and Pandas for handling large datasets, automating data pipelines, and improving analytical efficiency. Strong expertise in identifying patterns, performing trend analysis, and leveraging statistical methods to support data-driven decision-making. Designed interactive dashboards using Power BI and Tableau, improving executive reporting and operational efficiency through real-time insights. Implemented automated CI/CD pipelines, streamlining data workflows, reducing processing time, and enhancing data quality. Ensured compliance with healthcare regulations (HIPAA, HL7), maintaining data security, accuracy, and accessibility across systems. TECHNICAL SKILLS

Languages & Development: Python, SQL, R, Java, JavaScript, C/C++, React, Django, Flask, Node.js, TypeScript

Databases: MS-SQL, MySQL, Redshift, Snowflake, BigQuery, PostgreSQL, MongoDB, SparkSQL, SSMS, Redis

Data Analysis & ETL Tools: Power BI, Tableau, Microsoft Excel, Jenkins, Azure, Databricks, Google Analytics

Frameworks & Tools: NumPy, Pandas, Scikit-learn, Matplotlib, SAS, Hadoop, Hive, PySpark, VLOOKUP, Macros, VBA, Google Analytics

Others: Azure Synapse, SSIS, Clustering, Machine Learning, NLP, TensorFlow, Keras, PyTorch, Kafka, GitHub, Agile, JIRA PROFESSIONAL EXPERIENCE

Data Analyst, Cigna Group 01/2023 – Present Remote, USA

Analyzed complex healthcare datasets using NumPy and Pandas, optimizing data processes and forecasting demand to prevent supply shortages and improve patient care.

Designed and implemented SQL-based ETL pipelines, reducing manual data processing efforts by 80% and significantly improving data accuracy and efficiency.

Integrated automated CI/CD pipelines into data processing workflows, streamlining data ingestion, transformation, and reporting for enhanced operational efficiency.

Developed Tableau dashboards for real-time monitoring of key performance indicators, reducing medication shortages by 20% and improving hospital resource allocation.

Integrated AWS-based data solutions (Redshift, Glue) to efficiently manage and process 2000+ patient records, enhancing system performance by 15%.

Established high data quality standards, reducing reporting time by 25% and improving patient outcome tracking by 10% through accurate, reliable insights.

Data Analyst, Magna Infotech 07/2020 – 07/2021 Remote, India

Developed CLV models and customer segmentation strategies, improving customer insights by 30% and enabling more effective marketing campaigns.

Built predictive models using Scikit-learn and Python, enhancing model accuracy by 25% and improving business forecasting capabilities.

Forecasted churn rates with data-driven models, optimizing targeted marketing efforts and increasing customer retention through personalized engagement. Managed large-scale customer data using AWS services (S3, Redshift), processing over 10TB of data to ensure scalable and efficient analytics operations.

Designed Power BI dashboards to visualize CLV trends, reducing data analysis time by 40% and increasing marketing ROI by 25% through actionable insights.

Led cross-functional projects to integrate CLV insights into marketing and sales strategies, resulting in a 20% increase in customer engagement and revenue growth.

EDUCATION

Master of Science, Cleveland State University 08/2021 - 12/2022 Cleveland, USA Information System

Bachelor of Technology, Sree Vidyanikethan Engineering College 06/2016 - 10/2020 Tirupati, India Electronics & Instrumentation Engineering

CERTIFICATION

AWS Certified Solutions Architect – Associate

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