Machine Learning Data Scientist

BHARATHI D VELAGAPUDI

Data Scientist Machine Learning & AI Specialist Dashboard & Data Visualization Expert Austin, Texas 512-***-**** *************@*****.*** linkedin.com/in/bharathidv PROFILE

Experienced Data Scientist with a strong foundation in developing and deploying ML/AI models to solve complex business challenges. Over 9 years of expertise in data quality, predictive modeling, and building data-driven solutions, including personalized recommendations, predictive analytics, and optimization strategies. Proficient in Python and libraries like TensorFlow and scikit-learn, with experience in cloud platforms such as AWS and Snowflake for scalable model deployment and MLOps. Adept at collaborating with cross-functional teams to design and implement innovative solutions, including real-time dashboards for business insights using AWS QuickSight and Tableau. Skilled in SQL and data engineering processes to preprocess and structure data efficiently for model training. Known for a proactive approach to automating repetitive tasks, driving operational efficiency, and delivering measurable business outcomes. KEY COMPTENCIES

Machine Learning & AI: Machine Learning Models Predictive Modeling Neural Networks Natural Language Processing TensorFlow PyTorch scikit-learn Llama Claude

Data Analysis & Insights: Data Analysis A/B Testing Statistical Analysis Hypothesis Testing Regression Analysis Data Mining Data Visualization (AWS QuickSight, Tableau, Grafana, Splunk) Dashboard Creation

Data Engineering & MLOps: Data Pipelines ETL Processes Data Preprocessing Model Deployment (AWS, Snowpark) MLOps Practices Cloud Platforms (AWS, Azure) Modern Data Warehouses (Snowflake, BigQuery)

Programming & Databases: Python (TensorFlow, PyTorch, scikit-learn) SQL Database Management (PostgreSQL, MS SQL Server, Oracle) Git & GitHub

Tools & Technologies: AWS Snowflake CI/CD (Jenkins) Automation Testing (Selenium, Telerik) Version Control (Git, GitHub) Jira Salesforce

Agile & Collaboration: Agile/Scrum Methodology Cross-Functional Collaboration Problem Solving Leadership Mentoring

PROFESSIONAL EXPERIENCE

Civitas Learning Inc. Data Quality Engineer Austin, TX November 2016 – August 2023 Domain: Higher Education

Developed and maintained dashboards for Data Science teams using AWS QuickSight and Tableau, driving data- driven insights to optimize model performance and enhance decision-making.

Designed dashboards for Data Quality teams with Splunk and Grafana to monitor data integrity and streamline validation processes, and built dynamic dashboards for DevOps teams using Domo for real-time monitoring and reporting.

Monitored predictive models in production, using AWS QuickSight to analyze model performance, retrain underperforming models, and redeploy them to ensure high accuracy and optimal results.

Collaborated closely with cross-functional teams to ensure seamless integration of machine learning models into production workflows, while maintaining high standards for quality and deployment.

Conducted data analysis on SIS and LMS data to validate accuracy, enabling stakeholders to make informed decisions based on reliable data.

Led data quality improvement efforts, streamlining DQA team processes, increasing efficiency, and accelerating response times for data validation and issue resolution.

Prepared and executed comprehensive test plans, including model validation and pre-UAT functional tests, ensuring that all applications met business requirements before partner handoff.

Managed triage and hotfix operations, ensuring timely resolution of critical issues and maintaining system uptime while meeting Service Level Agreements (SLAs).

Technologies Used: AWS QuickSight, Grafana, Tableau, Splunk, Domo, PostgreSQL, Oracle, Python, Jenkins, GitHub, Salesforce, Jira, POSTMAN, IntelliJ.

ePsolutions Inc Quality Assurance Domain: Energy Austin, TX January 2015 – February 2016

Designed and implemented product requirement documents, streamlining collaboration between development and QA teams, enhancing feature delivery effectiveness.

Managed and optimized QA environments both locally and in Azure Cloud, ensuring smooth and efficient testing processes.

Installed and maintained QA databases, utilizing SQL Management Studio for effective reporting and database integrity.

Led API and REST API testing using SoapUI, ensuring functional consistency and integration for web and mobile platforms.

Developed automated test scripts with Telerik Test Studios and Selenium, enhancing testing accuracy and reducing manual intervention.

Deployed builds to QA environments using PowerShell scripts, facilitating efficient transitions and minimizing deployment issues.

Conducted thorough bug tracking and defect management using Salesforce and Visual Studio Online, improving overall product stability and reducing post-release issues.

Contributed to business analysis for product expansion, supporting growth into new territories and enhancing the product's market relevance.

Validated EDIs and ensured adherence to business rules, supporting seamless energy transaction processes. Technologies Used: MSSQL Server 2012, Azure Cloud, Silverlight, Visual Studio Online, Salesforce, SoapUI, Telerik Test Studios.

ePsolutions Inc Quality Analyst Tester Domain: Energy Austin, TX June 2014 – December 2014

Conducted thorough data verification and ensured database integrity using SQL scripts, safeguarding data accuracy across critical systems.

Generated detailed post-execution defect reports, providing actionable insights to the development team for continuous improvement.

Deployed RDL, validated reports, and verified data consistency through SQL scripting, ensuring reliable reporting across multiple platforms.

Investigated and reproduced bugs and defects, collaborating with cross-functional teams to resolve issues and enhance product stability.

Delivered comprehensive build release reports, ensuring smooth transitions between development and release phases.

Proofread and fact-checked product marketing materials, ensuring accuracy and consistency in communication and promotional efforts.

KEY ACHIEVEMENTS

Verified and validated approximately 100 predictive models in production annually over the last 7 years, ensuring high accuracy and optimal performance in live environments.

Trained and retrained over 300 models in the past 3 years, significantly improving the efficiency and effectiveness of production models through advanced retraining processes. EDUCATION

Texas McCombs School of Business

Post Graduate Program – Artificial Intelligence and Machine Learning, 2023

Texas McCombs School of Business

Post Graduate Program – Data Science and Business Application, 2021

Osmania University, Hyderabad – Telangana

Master of Computer Applications, 2003

Osmania University, Hyderabad – Telangana

Bachelor of Computer Sciences, 1999

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