Sreeja Reddy Nomula

Business and Data Analyst with 5 years of experience applying quantitative analysis to go beyond the numbers and uncover the drivers behind business performance. Skilled in writing complex SQL queries, building scalable self-serve BI solutions, and partnering with Product, Program, and Engineering teams to influence strategy through data. Proven ability to identify key performance drivers, set and monitor goals, and deliver actionable recommendations using Tableau, Power BI, Python, and Advanced Excel. Strong background in statistical methodology and big data, with a track record of mentoring analysts and enabling cross-functional teams to make faster, insight-driven decisions.

Cloud-Based Sales Analytics Pipeline | Snowflake | Power BI | SQL| DAX

• Designed a cloud analytics workflow using Snowflake to process over 2M sales transaction records; built star schema dimensional models, reducing dashboard discrepancies by ∼20%.
• Developed 6+ Power BI dashboards with custom DAX measures tracking revenue growth, margin performance, and monthly sales trends; optimized SQL queries for 25% faster dashboard refresh.
• Implemented data validation checks, achieving 95%+ consistency across integrated datasets, with documented reconciliation logic for audit purposes.

Employee Attrition (Data Analysis) | Excel | Tableau | Data Cleaning  

• Developed an interactive Employee Attrition dashboard to analyze patterns across 1,470 employees, using visualization tools to highlight key attrition drivers such as job satisfaction, work environment, tenure, and marital status.
• Identified actionable insights for HR teams by segmenting attrition data across dimensions like job role, department, gender, and education field, empowering data-driven retention strategies.
• Applied advanced data visualization techniques (heat maps, tree maps, bar charts) to effectively communicate workforce trends, enabling leadership to monitor high-risk attrition zones in real time.
• Enhanced stakeholder decision-making by designing dynamic filters and drill-down capabilities, allowing users to interact with and explore attrition data by gender, department, and job role.

Customer Churn Analysis |SQL | Python (Pandas) | Data Analysis

• Analyzed a customer behavior dataset of 50K+ records to identify churn patterns, using SQL joins and aggregations to segment customers by usage behavior, contract type, and payment history.
• Used Python (Pandas) for data cleaning and feature preparation — resolving missing values, correcting data types, and engineering relevant variables, improving dataset accuracy by ∼20%.
• Generated structured reports summarizing the estimated revenue impact of churn trends, presented in a format that made the business case for targeted intervention clear to stakeholders.

Decentralized Access Management with Anonymous Authentication of Information Stored in Cloud | Cloud Computing 

• Implemented decentralized access control in cloud environments, reducing security incidents and ensuring robust data protection with decentralized key distribution.
• Mitigated security threats, significantly reducing wrapping attacks, malware injection, flooding attacks, and replay attacks.
• Developed advanced security protocols using two-factor authentication and attribute-based encryption to enhance cloud data security and prevent vulnerabilities.

Automatic Smart Gardening System | Internet of Things 

• Designed and implemented an IoT-based smart gardening system using NodeMCU ESP-12E, DHT11, moisture sensors, and servo motors to automate plant watering based on real-time soil moisture levels.
• Integrated the system with IBM Cloud for remote monitoring and control, improving water efficiency and enabling intelligent garden management through cloud-based automation.

• Microsoft Power BI Data Analyst Certification.
• Data Analytics BootCamp Certification.
• Cloud Computing in Red Hat Academy Certification.
• IOT in smart bridge with IBM Cloud Certification.

Decentralized Access Management with Anonymous Authentication of Information Stored in Cloud, IJAEMA-The International journal of analytical and experimental modal analysis, https://app.box.com/s/yh9er5sv1zl57as5oo6chjfl1k8kohwr, 0886-9367, Volume 12, Issue 3 - March 2020, 1899-1906

• Graduate Assistantship at Middle Tennessee State University
• Published research on Cloud Access Management in IJAEMA Journal, showcasing academic contribution and domain knowledge.
• Shortlisted from national-level applicants in FAER – McAfee Scholar Awards for Detection of Harmful Gas to Ensure Safety and Security of Human Life and Property

• Contributor, IJAEMA Journal (Published research in 2020)