Data Analyst

Thrishika Reddy Putta

Data Analyst

408-***-**** *********.******@*****.*** Cincinnati, OH

SUMMARY

Data Analyst with 3+ years of experience delivering impactful insights across finance, healthcare, and retail by leveraging Python, SQL, Power BI, and cloud technologies to drive business growth and operational efficiency. Proven expertise in building scalable data pipelines, automating reporting, and transforming raw data into strategic decisions.

SKILLS

Languages: Python, R, SQL, SAS

Modeling & Analysis: Financial Modeling, Risk Assessment, Root Cause Analysis, KPI Analysis, P&I Analysis

Tools & Software: Power BI, Tableau, Excel, SAP, MMISs

Methodologies: SDLC, Agile, Waterfall, Scrum

Data Analysis: Descriptive & Diagnostic Analysis, Predictive Modeling, A/B Testing, Time Series Analysis, Inventory Analytics

Reporting: Power BI, Excel Dashboards, Custom KPI Reports, Automated Sales Reports, Real-Time Reporting Solutions

ETL tools/Cloud Technologies: Informatica SSIS, Talend Azure, Apache Airflow, AWS (S3, Glue, Redshift), Hadoop, Spark, PySpark,

Database: MySQL, SQL Server, PostgreSQL, MongoDB

EXPERIENCE

Data Analyst, Freddie Mac, USA January 2025 – Present

Analyzed large volumes of loan and credit risk data, including borrower profiles, payment history, and payment delays, to uncover insights that improved borrower retention.

Collaborated with the team for financial analysis and modeling to provide the necessary information for the key business decisions and raised the company’s profitability.

Prepared and updated financial reports and KPIs on Excel and Power BI to monitor and analyze financial performance.

Facilitated the preparation of the annual budgets and quarterly forecasts, enhancing the forecasting and the cash flow.

Employed Python libraries such as Pandas and NumPy alongside SQL to perform complex data manipulation and analysis, optimizing data workflows and reducing processing time.

Leveraged Hadoop and Spark for processing and analyzing big data, optimizing performance and scalability, leading to reduction in processing time.

Employed AWS services such as S3, Glue, and Redshift for efficient data storage, ETL processing, and data warehousing.

Data Analyst, Cigna Healthcare Group, USA August 2024 – December 2024

Conducted data analysis on claims, member eligibility, and clinical data, supporting initiatives that upgraded care management and reduced unnecessary costs.

Developed interactive dashboards using Power BI and Excel to track care outcomes, claims trends, and member engagement, enabling faster decision-making for healthcare teams.

Cooperated with the team for ad-hoc financial analysis to address urgent business queries, providing actionable insights that contributed to improvement in decision-making efficiency for budgeting and forecasting.

Ensured data privacy and compliance with HIPAA and CMS, collaborating with compliance and security teams during audits.

Build automated data pipelines using Apache Airflow and SQL to automate claims data processing, reducing manual work and improving data accuracy for care management

Data Analyst, Cyient, India June 2021 – July 2023

Analyzed SKU-level sales patterns and identified slow-moving inventory using SQL and Pandas, driving markdown strategies that cleared stagnant stock within one quarter.

Collaborated with supply chain and logistics teams to optimize store-to-warehouse route planning and performed root cause analysis on delayed deliveries using shipment and warehouse data, resulting in improved delivery timelines and significant annual transportation cost savings.

Built ETL pipelines to merge data from SAP Retail, MMIS, and Excel-based merchandising trackers, increasing reporting efficiency.

Created Power BI dashboards to monitor real-time inventory levels across retail locations, reducing stockout events and enhancing order fulfillment rates.

Designed MySQL databases and built reporting pipelines using SQL and NoSQL (SQL Server, MongoDB) to automate ETL from e-commerce, POS, and CRM systems for retail analytics.

Performed financial analysis on key performance metrics, identifying cost-saving opportunities and revenue enhancement strategies that improved overall profitability.

Developed KPI and P&L analysis reports tailored for regional retail managers and introduced new dashboards that uncovered sales performance trends and customer preferences; insights were featured in the company newsletter for strategic planning.

EDUCATION

Master’s in Information Technology, University of Cincinnati, Cincinnati, Ohio, USA August 2023 – December 2024

Certifications

Microsoft Certified: Power BI Data Analyst Associate

AZ-900 Microsoft Azure Fundamentals

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