Data Analyst with SQL, Python, Power BI Expertise

JAMMULA CHAITHANYA

DATA ANALYST

*******************@*****.*** LinkedIn +1-470-***-****

PROFESSIONAL SUMMARY

Data Analyst with 2+ years of experience transforming complex datasets into actionable insights. Proficient in SQL, Python, Power BI, and Tableau with expertise in data cleaning, visualization, and KPI reporting. Proven ability to develop dashboards that improve decision-making and operational efficiency across diverse business domains. TECHNICAL SKILLS

Programming & Querying: SQL, Python (Pandas, NumPy, Scikit-learn) Visualization Tools: Power BI, Tableau, Excel (PivotTables, Advanced Formulas) Databases & Platforms: MySQL, PostgreSQL, Microsoft SQL Server Tools & Methodologies: Data Modeling, ETL Processes, Statistical Analysis, Git PROFESSIONAL EXPERIENCE

Data Analyst Insight Enterprises Atlanta, GA

Aug 2025 – Present

Developing interactive Power BI dashboards to monitor sales performance, improving report accessibility for 50+ stakeholders

Automating monthly financial reporting processes using SQL scripts, reducing manual workload by 15 hours monthly

Performing data validation and cleansing for customer databases, ensuring 99.5% data accuracy for analytics Data Analyst Tech Mahindra Hyderabad, India

Jan 2022 – Jul 2023

Created 12+ Tableau dashboards tracking operational KPIs, enabling 25% faster identification of workflow bottlenecks

Analyzed customer churn data using Python, identifying key factors contributing to 18% of annual attrition

Collaborated with cross-functional teams to define data requirements, reducing report generation time by 30% Data Analyst Intern Tech Mahindra Hyderabad, India Jul 2021 – Dec 2021

Assisted in migration of legacy Excel reports to Power BI, improving data refresh speed by 40%

Documented data lineage and business glossary entries for 200+ critical data elements

Supported ad-hoc SQL queries for marketing campaigns impacting 500K+ customers PROJECTS

Sales Performance Dashboard Power BI, Tableau, SQL

Built end-to-end interactive dashboard tracking revenue, regional performance, and product trends

Integrated data from 3 source systems, reducing manual data consolidation by 10 hours weekly

Enabled sales team to identify underperforming regions, leading to targeted strategy adjustments Customer Segmentation Analysis Python (Pandas, Scikit-learn), SQL

Developed clustering model segmenting 50,000+ customers into 6 distinct behavioral groups

Analysis informed personalized marketing campaigns with 22% higher engagement rates

Automated data pipeline reduced monthly analysis time from 3 days to 4 hours EDUCATION & CERTIFICATIONS

Master of Science – Management Information Systems Auburn University at Montgomery Montgomery, AL 2025 CGPA: 3.78 B.Tech in Computer Science & Engineering

Vel Tech Rangarajan Dr. Sagunthala R&D Institute, Chennai, India 2023 CGPA: 9.0/10 Google Data Analytics Professional Certificate Coursera July 2025

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