Data Analyst

Bindu Sri Yadagiri Data Analyst

Open to Relocate **************@*****.*** +1-502-***-**** www.linkedin.com/in/bindu-sri-yadagiri PROFESSIONAL SUMMARY

Results-driven Data Professional with 3+ years of experience in Data Analyst, Data Science, Predictive modeling, and Business intelligence. Skilled in designing scalable data pipelines, deploying ML models, and transforming raw data into actionable insights. Strong expertise in statistical analysis, NLP, cloud platforms (AWS/GCP/Azure), and data visualization (Power BI, Tableau). Proven ability to collaborate cross-functionally and communicate complex findings to technical and non-technical stakeholders. Passionate about leveraging data-driven strategies to optimize business performance and innovation. Seeking to leverage my expertise to drive data-informed strategy, innovation, and growth.

TECHNICAL SKILLS

Programming & Data Science: Python, SQL, R, RESTful APIs, Spark, SSIS, SAS, SPSS, Hive, TensorFlow, NLP, A/B Testing and Experimentation, Predictive Analytics, Statistical Analysis Data Management, Visualization & Modeling: AWS (S3, Redshift, Athena), BigQuery, ETL pipelines, Snowflake, Oracle, Azure, MS Excel, Tableau, Power BI, Google Analytics, Alteryx, Salesforce, Looker, QlikView, Adobe analytics Management: Project Management, Agile, Scrum Framework, Jira, Google Workspace, ADO, Logistics Management, Operations Management, Supply Chain Management, Lean Six Sigma WORK EXPERIENCE

Hartford Financial Services Group, United States Data Analyst February 2025 – Current

• Designed and maintained ETL pipelines to process over 7 million customer records, enabling real-time tracking of key performance indicators (KPIs). Built executive dashboards in Power BI and Tableau to monitor customer lifecycle and retention metrics.

• Developed a customer segmentation model and a lead scoring model, which were validated through A/B testing. These models contributed to a 15% improvement in targeted campaign performance and over $1.2 million in incremental revenue.

• Built a churn prediction model using Random Forest, achieving 89% accuracy. Integrated the model's outputs into customer relationship management (CRM) workflows, which improved churn prediction accuracy by 10%.

• Analyzed over many customer support transcripts using natural language processing (NLP) methods to identify early signals of customer churn. These insights supported initiatives that increased client retention by 7%.

• Created a propensity-to-chat model using XGBoost and logistic regression on user behaviour data. Worked with product and marketing teams to apply the model in chat targeting, leading to a 25% rise in qualified chat engagement and higher lead conversion.

• Led the development of an internal AI assistant using a Retrieval-Augmented Generation (RAG) framework. The tool allows users to get answers to dashboard and metric questions independently, reducing ad-hoc data requests by 40%.

• Instructed a Python foundation course for more than 50 analysts, increasing coding proficiency and collaboration within the data team. Adons Softech, India Data Analyst September 2021 – July 2023

• Engineered robust ETL processes for real-time inventory and sales data ingestion from 350+ global dealerships, enhancing supply chain visibility, improving demand forecasting accuracy, and accelerating data refresh speed by 45%.

• Optimized data infrastructure in partnership with engineering teams, reducing query latency by 30% and significantly improving data accessibility for downstream analytics conducted comprehensive data quality audits and enforced data governance standards to ensure integrity and consistency across sources.

• Implemented predictive analytics model to forecast service part availability, resulting in a 12% increase in service fulfillment rate.

• Orchestrated the development of interactive dashboards to monitor inventory health, reducing overstock and understock issues by 10%, equating to $200K+ annual savings.

• Built a reinforcement learning agent using Python, and Open AI Gym to simulate adaptive spare part pricing strategies; visualized price elasticity trends and margin optimization opportunities across diverse regions.

• Contributed to an AI-driven race optimization project for Formula 1 in collaboration with Daimler Trucks and HPE, improving fleet operations and logistics efficiency.

7FinCorp Group, India Data Analyst July 2020 – August 2021

• Investigated user activation funnels using SQL to analyze product usage data, identifying key conversion drivers that increased activation rates by 8%.

• Segmented customer base by applying clustering and classification models in Python, enhancing campaign personalization and boosting sales by 10%.

• Built and maintained interactive Tableau dashboards to monitor NPS and product adoption across segments, leading to a 15% improvement in marketing ROI.

• Wrote complex SQL queries to track campaign KPIs, enabling optimization that increased response rates by 10% and generated ~$150K in lead conversions.

• Partnered with cross-functional teams to implement data-driven strategies, accelerating feature adoption based on analysis of user behaviour patterns.

• Upheld data accuracy and integrity via scrupulous data cleaning and transformation even as crafting statistical fashions and gadget getting to know algorithms leveraging NumPy and TensorFlow. EDUCATION

University of Louisville, Kentucky – United States Master of Science in Business Analytics

Jawaharlal Nehru Technological University, Hyderabad – India Bachelor of Technology in Computer Science Engineering

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