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Chaitanya Reddy

@chaitanyareddy1

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Data Analyst with 4 years of experience in advanced analytics.

United States

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What I'm looking for

I am looking for a role that fosters innovation and allows for professional growth in data analytics.

I am a dedicated Data Analyst with four years of experience across eCommerce, healthcare, and insurance domains. My expertise lies in building dashboards and reports using Power BI, SQL, Python, and Excel, which has significantly improved decision-making and operational efficiency for my stakeholders. I have a strong track record in predictive modeling, statistical analysis, and delivering actionable insights that drive business growth.

In my current role at MetLife, I created and maintained over 50 dashboards and reports, utilizing SQL to extract customer purchase and inventory data. My efforts led to a 40% reduction in reporting time and a 30% enhancement in data quality through effective data integration and quality assurance practices. Previously, at Cigna Group, I increased stakeholder engagement by 30% through advanced analytics and visualization techniques, demonstrating my ability to translate complex data into meaningful insights.

My educational background includes a Master of Science in Technology Management and a Master of Science in Computer Science. I am passionate about leveraging data to solve real-world problems and continuously seek opportunities to grow and contribute to innovative projects.

Experience

Work history, roles, and key accomplishments

Current

Data Analyst

Current

MetLife

May 2024 - Present (1 year 2 months)

Created and maintained 50+ dashboards and reports using SQL, Python, and Excel to extract and analyze customer purchase and inventory data. Automated reporting processes with Python scripts, SQL queries, and advanced Excel features, reducing reporting time by 40%.

SQL Python Excel Shopify Salesforce CRM Data Visualization ETL Data Quality KPI Tracking

Data Analyst

CignaGroup

May 2022 - May 2023 (1 year)

Increased stakeholder engagement by 30% using Power BI (PowerQuery) for advanced analytics and visualization of product sales trends. Developed 50+ DAX queries weekly for statistical analysis and managed large-scale SQL databases to streamline data collection, cleaning, and analysis. Improved data accuracy by 25% by conducting data cleaning, mining, and validation across 100+ existing spreadsheets

Power BI DAX SQL Data Cleaning Data Mining Data Validation Statistical Analysis Data Visualization HR Analytics

Data Analyst

SigmaInfotech

Dec 2019 - Jul 2021 (1 year 7 months)

Developed ETL pipelines using Python and SQL to consolidate data from various sources, supporting a unified eCommerce analytics platform. Engineered Power BI dashboards for product performance, customer acquisition cost (CAC), and inventory trends, leading to a 17% improvement in procurement efficiency. Conducted cohort and funnel analysis using Python (Pandas, Matplotlib) to identify high-LTV cus

Python SQL Power BI ETL Data Consolidation Cohort Analysis Funnel Analysis Pandas Matplotlib

Education

Degrees, certifications, and relevant coursework

Lindsey Wilson College

Master of Science, Technology Management

Pursued a Master of Science in Technology Management, focusing on the intersection of technology and business strategy. Gained expertise in managing technological innovations and their impact on organizational goals.

University of Dayton

Master of Science, Computer Science

Completed a Master of Science in Computer Science, enhancing knowledge in advanced computing concepts. Focused on various aspects of computer science, preparing for a career in data analysis and related fields.