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Hi, I am Kavyashree Chandrashekar, a data analyst with 4+ years of experience driving data-informed strategies in telecommunications and financial services. I specialize in building robust data pipelines on AWS and GCP, writing advanced SQL, and applying Python to develop predictive models and insightful visualizations that cut costs and speed up decision-making. Outside of analytics, I am a proactive collaborator who translates complex business problems into scalable, data-driven solutions and partners with cross-functional teams to deliver measurable impact.…Hi, I am Kavyashree Chandrashekar, a data analyst with 4+ years of experience driving data-informed strategies in telecommunications and financial services. I specialize in building robust data pipelines on AWS and GCP, writing advanced SQL, and applying Python to develop predictive models and insightful visualizations that cut costs and speed up decision-making. Outside of analytics, I am a proactive collaborator who translates complex business problems into scalable, data-driven solutions and partners with cross-functional teams to deliver measurable impact.

Kavyashree Chandrashekar

Data Analyst, Full Stack Developer, Programmer, +1

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Hi, I am Kavyashree Chandrashekar, a data analyst with 4+ years of experience driving data-informed strategies in telecommunications and financial services. I specialize in building robust data pipelines on AWS and GCP, writing advanced SQL, and applying Python to develop predictive models and insightful visualizations that cut costs and speed up decision-making. Outside of analytics, I am a proactive collaborator who translates complex business problems into scalable, data-driven solutions and partners with cross-functional teams to deliver measurable impact.…Hi, I am Kavyashree Chandrashekar, a data analyst with 4+ years of experience driving data-informed strategies in telecommunications and financial services. I specialize in building robust data pipelines on AWS and GCP, writing advanced SQL, and applying Python to develop predictive models and insightful visualizations that cut costs and speed up decision-making. Outside of analytics, I am a proactive collaborator who translates complex business problems into scalable, data-driven solutions and partners with cross-functional teams to deliver measurable impact.

Available to hire

Hi, I am Kavyashree Chandrashekar, a data analyst with 4+ years of experience driving data-informed strategies in telecommunications and financial services. I specialize in building robust data pipelines on AWS and GCP, writing advanced SQL, and applying Python to develop predictive models and insightful visualizations that cut costs and speed up decision-making.

Outside of analytics, I am a proactive collaborator who translates complex business problems into scalable, data-driven solutions and partners with cross-functional teams to deliver measurable impact.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Work Experience

Data Analyst at AT&T

September 1, 2023 - November 5, 2025

Led the development of a scalable customer analytics platform on AWS Redshift and S3 by consolidating 12+ data sources, enabling 50+ analysts to access trusted data and reducing time-to-insight by 30%. Built a real-time ETL pipeline with AWS Glue and Lambda processing 2TB+ daily network data, supporting proactive issue detection and reducing customer-reported incidents by 25%. Developed an XGBoost churn model achieving 92% accuracy, enabling targeted retention strategies that saved an estimated $5M annually. Designed and deployed Tableau dashboards for ARPU, churn, and network health used in quarterly reviews. Implemented a data governance initiative across 5+ units, and created automated data quality monitors in Python with Airflow to ensure data integrity.

Data Analyst at Infosys

November 1, 2021 - November 1, 2021

Led migration of legacy on-premise data to Google BigQuery, redesigning ETL workflows in Python, reducing monthly infrastructure costs by 35% and improving query performance by 60%. Built a financial fraud detection system using anomaly detection (Isolation Forest), reducing fraudulent transactions by 15% and safeguarding $3M+ annually. Automated monthly financial compliance reports with Python/SQL, saving 20+ hours per month and ensuring accuracy. Created interactive Power BI dashboards for client portfolio management, accelerating client reviews by 40%. Mentored 3 junior analysts on advanced SQL and Python practices, boosting productivity by 25%.