Data Analyst Machine Learning

Sai Rohit Divvela

DATA ANALYST

TX, USA 682-***-**** ****************@*****.*** LinkedIn

SUMMARY

● Data Analyst with over 4.5 years of experience in the industry, leveraging advanced analytics to drive actionable business insights and enhance operational efficiency.

● Proficient in Python, SQL, and R, with a strong command of data manipulation libraries such as Pandas and NumPy, and expertise in machine learning frameworks including scikit-learn and TensorFlow.

● Expert in Data Visualization, utilizing tools like Tableau, Power BI, and Excel to create interactive dashboards that boost stakeholder engagement.

● Skilled in Statistical Analysis, including hypothesis testing, ANOVA, regression analysis, and A/B testing, with a proven ability to improve key business metrics.

TECH SKILL

Methodologies SDLC, Agile, Waterfall

Language: Python, SQL, R, Apache Spark, AWS Lambda Packages: NumPy, Pandas, Matplotlib, SciPy, Scikit-learn, TensorFlow, Seaborn Visualization Tools: Tableau, Power BI, Advanced Excel (Pivot Tables, VLOOKUP) IDEs: Visual Studio Code, PyCharm, Jupyter Notebook Database Management MySQL, PostgreSQL, MongoDB, SQL Server, Oracle, NoSQL Cloud Computing AWS, Azure, Google Cloud Platform

Other Technical Skills: SISS, SSRS, Machine Learning Algorithms, Probability distributions, Confidence Intervals, ANOVA, Hypothesis Testing, Regression Analysis, Linear Algebra, Advance Analytics, Data Mining, Data Visualization, Data warehousing, Data transformation, Data Storytelling, Association rules, Clustering, Classification, Regression, A/B Testing, Forecasting & Modelling, Data Cleaning, Data Wrangling, Jira, SAP, Cross Functional Work, Scala, KPI’s, API, Hadoop, Root Cause Analysis, Snowflake, Risk Management, Data Cleaning, Data Pipelines, SRE, Google Analytics, Product Analytics, Business Analytics

Soft Skills Time management, Leadership, Management, Problem-solving, Negotiation, Decision-Making, Documentation and Presentation, Verbal communication Operating System: Windows, Linux

CERTIFICATION

● Full Stack Development.

● Teradata Database Vantage Associate

EXPERIENCE

Role: Data Analyst Vizient Inc, TX March 2025 – present Project: Scalable Pricing Data Management & Analytics Enablement

● Collected and transformed large volumes of monthly pricing and sales data from external sources using Python libraries such as pandas, NumPy, and openpyxl to prepare structured datasets for enterprise reporting and analytics.

● Independently developed and automated ETL pipelines using Python and SQL, streamlining data ingestion and validation workflows, and reducing manual effort while improving processing efficiency by 75%.

● Wrote and optimized T-SQL queries and stored procedures to validate, update, and load structured pricing data into production SQL databases, directly supporting 32% of core internal reporting and analytics catalogs.

● Utilized Snowflake to query and transform high-volume datasets, enabling scalable data staging, faster processing, and high-performance analytics in a cloud-based environment.

● Collaborated cross-functionally with BI and product teams to define KPIs, align business logic, and contribute to the development of Power BI dashboards that support operational and strategic decision-making.

● Used Git for version control, actively managing ETL scripts and transformation logic to ensure reproducibility, code collaboration, and alignment with internal data governance standards.

● Documented all data transformation processes, logic flows, and quality checks to support audit readiness, operational transparency, and seamless handoffs across data engineering and analytics teams. Role: Data Analyst Memorial Hermann, TX Aug 2023 – Feb 2025 Project: Claims Analysis Optimization & Predictive Modeling Initiative

● Worked on the comprehensive Claims Analysis Optimization project for a major healthcare provider, ensuring HIPAA compliance throughout the project lifecycle.

● Collaborated with cross-functional teams in an Agile environment for automating data pipelines that streamlined claims workflows, reducing manual processing and ensuring secure handling of EHR and EMR data.

● Designed and developed interactive Power BI dashboards that visualized critical healthcare metrics, including claim status, approval rates, and processing times, while incorporating EHR/EMR data.

● Optimized PostgreSQL databases for improving the performance of healthcare claims data retrieval by tuning queries, indexing key tables, and implementing partitioning strategies.

● Created and automated SSRS reports as part of the project to provide in-depth insights into claim trends, payment cycles, and approval rates. These reports, integrated with EHR data, reduced claim processing errors.

● Developed machine learning models using TensorFlow to forecast claim volumes and predict fraudulent claims, leveraging EMR data for enhanced predictive accuracy.

● Performed advanced statistical analyses with ANOVA and Python, revealing operational insights that led to a 20% boost in efficiency and improved strategies for resource allocation within the claims and healthcare operations.

Role: Data Analyst Wipro, India Jul 2019 – Jul 2022 Project: Financial Analytics & Performance Optimization Platform

● Worked on Financial Performance Optimization Initiative, for streamlined financial reporting and data analysis processes for resulting in a 25% increase in reporting efficiency and improved accuracy of financial insights.

● Designed and optimized SQL queries to extract, transform, and load financial data from multiple databases, reducing data retrieval time by 30%.

● Utilized AWS cloud services for data storage and processing, enabling scalable and secure access to financial datasets.

● Applied K-means clustering to segment customer data for deeper financial insights, identifying key patterns that improved targeted marketing strategies.

● Conducted A/B testing to evaluate the impact of financial product changes, leading to a 15% increase in customer engagement and product performance.

● Implemented ARIMA models to forecast financial trends and performance, improving accuracy in revenue predictions by 20%.

● Built interactive Tableau dashboards to visualize key financial metrics and trends, empowering stakeholders with real-time insights for data-driven decisions.

● Performed extensive data cleaning with Python to ensure the accuracy and consistency of financial datasets, reducing data errors by 25%.

● Developed robust data models to support financial analysis and reporting, creating optimized schemas that enhanced data accessibility and analytical capabilities. EDUCATION

Master of Science in Computer Science

-University Of Texas at Arlington TX, USA

Bachelor of Technology in Computer Science and Engineering.

-Lovely Professional University Punjab, India

CORE KNOWLEDGE

● Programming & Scripting ● Data Manipulation & ETL

● Databases & Data Warehousing ● Data Visualization & BI Tools

● Statistical Analysis & Forecasting ● Machine Learning

● Cloud Platforms ● Data Governance & Compliance

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