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I am a results-driven Data Analyst with proven expertise in Python, SQL, Power BI, Tableau, and AWS for end-to-end data analysis, visualization, and predictive modeling. I build ETL pipelines, design dashboards, and perform statistical and time-series analyses to transform complex datasets into actionable business insights.\n\nI am adept at leveraging big data tools like Apache Airflow, Kafka, and Flink, along with AI/ML frameworks, to optimize operational efficiency and support strategic decision-making. I prioritize real-time analytics, regulatory compliance, and data-driven decisions that drive measurable business outcomes.…I am a results-driven Data Analyst with proven expertise in Python, SQL, Power BI, Tableau, and AWS for end-to-end data analysis, visualization, and predictive modeling. I build ETL pipelines, design dashboards, and perform statistical and time-series analyses to transform complex datasets into actionable business insights.\n\nI am adept at leveraging big data tools like Apache Airflow, Kafka, and Flink, along with AI/ML frameworks, to optimize operational efficiency and support strategic decision-making. I prioritize real-time analytics, regulatory compliance, and data-driven decisions that drive measurable business outcomes.

SEETHARAM TAVIDISETTY

Data Analyst, Data Scientist, AI Engineer, +2

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I am a results-driven Data Analyst with proven expertise in Python, SQL, Power BI, Tableau, and AWS for end-to-end data analysis, visualization, and predictive modeling. I build ETL pipelines, design dashboards, and perform statistical and time-series analyses to transform complex datasets into actionable business insights.\n\nI am adept at leveraging big data tools like Apache Airflow, Kafka, and Flink, along with AI/ML frameworks, to optimize operational efficiency and support strategic decision-making. I prioritize real-time analytics, regulatory compliance, and data-driven decisions that drive measurable business outcomes.…I am a results-driven Data Analyst with proven expertise in Python, SQL, Power BI, Tableau, and AWS for end-to-end data analysis, visualization, and predictive modeling. I build ETL pipelines, design dashboards, and perform statistical and time-series analyses to transform complex datasets into actionable business insights.\n\nI am adept at leveraging big data tools like Apache Airflow, Kafka, and Flink, along with AI/ML frameworks, to optimize operational efficiency and support strategic decision-making. I prioritize real-time analytics, regulatory compliance, and data-driven decisions that drive measurable business outcomes.

Available to hire

I am a results-driven Data Analyst with proven expertise in Python, SQL, Power BI, Tableau, and AWS for end-to-end data analysis, visualization, and predictive modeling. I build ETL pipelines, design dashboards, and perform statistical and time-series analyses to transform complex datasets into actionable business insights.\n\nI am adept at leveraging big data tools like Apache Airflow, Kafka, and Flink, along with AI/ML frameworks, to optimize operational efficiency and support strategic decision-making. I prioritize real-time analytics, regulatory compliance, and data-driven decisions that drive measurable business outcomes.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Language

English

Fluent

Work Experience

Data Analyst at Aprojects

August 1, 2025 - November 5, 2025

Analyzed inspection, preservation, and maintenance data using Python (Pandas, NumPy) and SQL, identifying trends and anomalies that improved operational efficiency by 25%. Designed and maintained interactive dashboards in Power BI and Tableau, providing real-time insights to management and quality teams, reducing reporting time by 30%. Validated and cross-referenced multi-source datasets with SQL and Python, ensuring data accuracy and integrity, reducing inconsistencies by 40%. Developed predictive models to forecast equipment reliability using Python and statistical techniques, minimizing unplanned downtime by 18% and optimizing maintenance schedules. Automated regulatory and OEM-compliance reporting, improving adherence while reducing manual effort by 20%.

Junior Data Analyst at Albany Distilling Co.

August 1, 2025 - August 1, 2025

Built internal inventory and sales tracking tools using Python (Flask) and React, reducing manual errors by 35% and speeding up reporting. Streamlined SQL database structures for production and sales data, accelerating query performance and report generation by 40%. Created Power BI dashboards to highlight inventory trends and production metrics, helping management identify underutilized stock and improve utilization by 20%. Automated repetitive reporting processes with Python, cutting weekly report preparation time by 25%. Collaborated with cross-functional teams during Agile sprints to refine tools, improving workflow efficiency.

Data Analyst Intern at Juniper Publishers

May 1, 2023 - May 1, 2023

Processed and transformed large datasets using Excel and SQL, improving data accuracy by 30% and enabling reliable operational and management reporting. Designed interactive dashboards in Tableau and Power BI to visualize KPIs and trends, enabling timely data-driven decisions across departments. Automated routine data tasks with Python (Pandas, NumPy), reducing manual processing time by 25% and ensuring high-quality datasets for analysis. Produced weekly reports and performance summaries, translating analytical findings into actionable insights that supported sales strategy and operational planning.