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Hi, I’m Haindavi Krishna Kothireddy, a Data Analyst with 3+ years of experience supporting enterprise analytics, automation, and cloud data solutions across insurance and technology domains. I enjoy turning complex data into clear, actionable insights and building scalable data pipelines that empower decision-makers. Passionate about leveraging Python, SQL, Tableau, Snowflake, and cloud platforms (AWS, GCP) to deliver measurable improvements. I collaborate across teams to deliver dashboards, ML-ready models, and KPI frameworks, and I’m committed to continuous learning and process improvement.…Hi, I’m Haindavi Krishna Kothireddy, a Data Analyst with 3+ years of experience supporting enterprise analytics, automation, and cloud data solutions across insurance and technology domains. I enjoy turning complex data into clear, actionable insights and building scalable data pipelines that empower decision-makers. Passionate about leveraging Python, SQL, Tableau, Snowflake, and cloud platforms (AWS, GCP) to deliver measurable improvements. I collaborate across teams to deliver dashboards, ML-ready models, and KPI frameworks, and I’m committed to continuous learning and process improvement.

Haindavi Krishna Kothireddy

Data Scientist, Programmer, Web Developer, +2

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Hi, I’m Haindavi Krishna Kothireddy, a Data Analyst with 3+ years of experience supporting enterprise analytics, automation, and cloud data solutions across insurance and technology domains. I enjoy turning complex data into clear, actionable insights and building scalable data pipelines that empower decision-makers. Passionate about leveraging Python, SQL, Tableau, Snowflake, and cloud platforms (AWS, GCP) to deliver measurable improvements. I collaborate across teams to deliver dashboards, ML-ready models, and KPI frameworks, and I’m committed to continuous learning and process improvement.…Hi, I’m Haindavi Krishna Kothireddy, a Data Analyst with 3+ years of experience supporting enterprise analytics, automation, and cloud data solutions across insurance and technology domains. I enjoy turning complex data into clear, actionable insights and building scalable data pipelines that empower decision-makers. Passionate about leveraging Python, SQL, Tableau, Snowflake, and cloud platforms (AWS, GCP) to deliver measurable improvements. I collaborate across teams to deliver dashboards, ML-ready models, and KPI frameworks, and I’m committed to continuous learning and process improvement.

Available to hire

Hi, I’m Haindavi Krishna Kothireddy, a Data Analyst with 3+ years of experience supporting enterprise analytics, automation, and cloud data solutions across insurance and technology domains. I enjoy turning complex data into clear, actionable insights and building scalable data pipelines that empower decision-makers.

Passionate about leveraging Python, SQL, Tableau, Snowflake, and cloud platforms (AWS, GCP) to deliver measurable improvements. I collaborate across teams to deliver dashboards, ML-ready models, and KPI frameworks, and I’m committed to continuous learning and process improvement.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Work Experience

Data Analyst at Liberty Mutual Insurance

February 1, 2025 - Present

Built a unified claims analytics dataset consolidating 10M+ records using PostgreSQL and Python; automated Tableau dashboards with ML forecasting signals and 9 KPIs across 6 teams, reducing recurring operational effort and delivering measurable annual savings. Standardized data-quality validation using Python and SQL, resolving 10 data issues across ingestion pipelines to improve reliability for executive risk analytics reporting. Managed 20+ API integrations supporting fraud analytics, reducing manual review workloads by 120 hours monthly and improving availability of case-level data for investigative teams.

Data Analyst at Robosoft Technologies

January 1, 2020 - November 1, 2022

Consolidated customer interaction datasets from CRM, product telemetry, and mobile app pipelines using BigQuery and Python, enabling leadership to analyze user behavior across 18 markets with a single query layer. Developed predictive churn-scoring models using scikit-learn and Pandas, generating actionable signals that helped retain 9K+ high-value accounts annually. Automated 12 ETL workflows with Airflow and SQL transformations, reducing report preparation time from 7 hours to under 10 minutes and improving throughput for 5 product teams. Synthesized A/B testing results using Python and Tableau, influencing product enhancements that generated $240K additional annual revenue.