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I am a results-driven data analyst with 3 years of experience turning raw data into actionable business insights across finance, healthcare, and retail. I enjoy transforming messy datasets into clear dashboards and shareable metrics that help stakeholders make informed decisions. I excel in SQL, Python, R, Tableau, Power BI, and AWS Redshift, and I thrive in Agile environments, delivering scalable data pipelines and high-quality analytics. I am passionate about data storytelling, improving forecast accuracy, and driving data-driven strategies.…I am a results-driven data analyst with 3 years of experience turning raw data into actionable business insights across finance, healthcare, and retail. I enjoy transforming messy datasets into clear dashboards and shareable metrics that help stakeholders make informed decisions. I excel in SQL, Python, R, Tableau, Power BI, and AWS Redshift, and I thrive in Agile environments, delivering scalable data pipelines and high-quality analytics. I am passionate about data storytelling, improving forecast accuracy, and driving data-driven strategies.

Akhil Doddi

Data Analyst, Data Scientist, Marketing Analyst, +2

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I am a results-driven data analyst with 3 years of experience turning raw data into actionable business insights across finance, healthcare, and retail. I enjoy transforming messy datasets into clear dashboards and shareable metrics that help stakeholders make informed decisions. I excel in SQL, Python, R, Tableau, Power BI, and AWS Redshift, and I thrive in Agile environments, delivering scalable data pipelines and high-quality analytics. I am passionate about data storytelling, improving forecast accuracy, and driving data-driven strategies.…I am a results-driven data analyst with 3 years of experience turning raw data into actionable business insights across finance, healthcare, and retail. I enjoy transforming messy datasets into clear dashboards and shareable metrics that help stakeholders make informed decisions. I excel in SQL, Python, R, Tableau, Power BI, and AWS Redshift, and I thrive in Agile environments, delivering scalable data pipelines and high-quality analytics. I am passionate about data storytelling, improving forecast accuracy, and driving data-driven strategies.

Available to hire

I am a results-driven data analyst with 3 years of experience turning raw data into actionable business insights across finance, healthcare, and retail. I enjoy transforming messy datasets into clear dashboards and shareable metrics that help stakeholders make informed decisions.

I excel in SQL, Python, R, Tableau, Power BI, and AWS Redshift, and I thrive in Agile environments, delivering scalable data pipelines and high-quality analytics. I am passionate about data storytelling, improving forecast accuracy, and driving data-driven strategies.

Skills

Experience Level

Expert

Expert

Expert

Expert

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Expert

Expert

Expert

Expert

Expert

Expert

Expert

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Expert

Expert

Expert

Expert

Language

English

Fluent

Work Experience

Data Analyst at IBM (Internship)

June 1, 2015 - Present

Designed and maintained end-to-end ETL pipelines using Python (Pandas, NumPy) and AWS Glue to process multi-source data from CRM, ERP, and finance systems, reducing refresh cycles from 12 hours to under 4 hours and increasing pipeline reliability to 99.8%. Developed Tableau and Power BI dashboards for executive-level performance tracking, improving real-time decision-making efficiency by 25%. Utilized SQL (PostgreSQL, Redshift) for complex joins, window functions, and stored procedures to aggregate 1 TB+ datasets, improving query performance by 40%. Performed predictive analytics and regression modeling in Python (Scikit-learn, Statsmodels) to forecast product demand and identify customer segments, increasing forecast accuracy by 18% and marketing ROI by 12%. Partnered with data architects to design AWS data lakes and Athena-based query layers, ensuring standardized data schemas and reducing data duplication across cloud warehouses by 22%. Leveraged PySpark on Databricks to clean, tran

Data Analyst at TCS

January 1, 2021 - July 1, 2023

Designed and implemented data warehousing solutions integrating Oracle, SQL Server, and Snowflake using Informatica and SSIS to consolidate enterprise-wide data assets, improving reporting accuracy and consistency by 35%. Created Power BI and Tableau dashboards for sales, operations, and financial metrics with row-level security and automated refresh schedules, reducing manual reporting time by 60% and improving executive visibility. Developed optimized SQL stored procedures, triggers, and materialized views for business logic automation and ad-hoc analysis, improving database efficiency and reducing average query latency by 40%. Applied Python-based data analytics and R scripts to perform exploratory data analysis (EDA), correlation studies, and trend forecasting, uncovering 20+ actionable business insights quarterly. Built ETL workflows with Alteryx and Talend to automate data ingestion from CRM, SAP, and Excel-based sources into Snowflake and AWS Redshift, achieving 99.9% data load