Sai Sree Celupuri

Client: Takeda

Role: Data Analyst

Roles and Responsibilities:

• Extracted and collected data from various internal and external sources, including clinical trial databases, electronic health records (EHR), and third-party data providers.Supported various departments including manufacturing, quality control, and supply chain.
• Designed and implemented data pipelines using cloud-based services like AWS Glue Dataflow to ensure efficient and reliable data processing.
• Employed Python (Pandas) to clean and preprocess data, addressing issues such as missing values, data inconsistencies, and outliers.
• Conducted EDA to identify trends, correlations, and anomalies in clinical and operational data.
• Developed interactive dashboards and reports using Power BI to present insights and findings to stakeholders, supporting data-driven decision-making.
• Implemented monitoring solutions to track data quality and integrity, using cloud-based monitoring tools like AWS Cloud watch.
• Managed time and tasks efficiently to meet project deadlines and deliverables.
• Supported various departments including manufacturing, quality control, and supply chain.
• Focused on areas such as manufacturing processes, quality control workflows, and supply chain operations.
• Provided ongoing support to Takeda’s team, addressing queries and troubleshooting issues related to data and analytics. Technologies Used: SQL, Python, Excel.
• Documented business requirements, processes, and findings in detailed reports and presentations using Microsoft Office Suite (Word, PowerPoint).

Client: Geico

Role: Senior Consultant

Roles and Responsibilities:

• Extracted data from various sources including relational database like MSSQL and cloud storage services like AWS S3 and APIs.
• Utilized Python (Pandas, NumPy) and R for data manipulation and preprocessing.
• Conducted exploratory data analysis (EDA) to identify trends and anomalies.
• Supported various departments including claims, underwriting, and customer service.
• Created documentation for internal use and client presentations.
• Created detailed reports and dashboards using Power BI to provide actionable insights.
• Excellent skills in presenting data insights to non-technical stakeholders and documenting analytical processes.
• Created a dashboard to visualize claims data for performance tracking and operational insights.
• Coordinated with cross-functional teams including data engineers, business analysts, and project managers to understand requirements and deliver data-driven solutions.

Client: Pret a Manger

Role: Sr. Associate Analyst

Roles and Responsibilities:

• Engaged with stakeholders from Pret A Manger to collect and document business requirements, translating them into clear, actionable specifications for the development and operations teams.
• Acted as the bridge between the technical team ( and the non-technical team.
• Assisted in managing project timelines, deliverables, and milestones, ensuring that project goals were met on schedule.
• Analyzed data related to business processes and performance, generating reports to provide insights and recommendations for process improvements.
• Ensured documentation was up-to-date and accurately reflected project developments and changes.
• Collaborated with the operations team to understand day-to-day business challenges and support the implementation of new processes or systems.
• Used tools like Microsoft Excel for data analysis, JIRA for project management, and Confluence for documentation.
• Engaged in regular meetings and communication channels to facilitate collaboration between the technical and non-technical teams.

Client: Amazon

Role: Data Associate

Roles and Responsibilities:

• Annotating and labeling voice data to train Alexa's Natural Language Processing (NLP) models. This involves listening to voice recordings and transcribing them or categorizing them based on predefined criteria.
• Generated regular reports that summarized key data insights, accuracy rates, and system performance metrics, ensuring that stakeholders had a clear view of progress and challenges.
• Collaborated closely with internal teams, including engineers, product managers, and data scientists, to align on project goals and timelines.
• Engaged with cross-functional stakeholders to gather requirements and ensure their expectations were met, maintaining open lines of communication and providing regular updates.
• Created and maintained comprehensive project documentation, including technical specifications and requirements documentation.
• Ensured all documentation was up-to-date and accessible, supporting seamless knowledge transfer and ensuring all team members were aligned.
• Developed and managed detailed technical documentation to support the integration of new features and enhancements into the Alexa platform.
• Ensured all documentation adhered to established guidelines and standards, making it easy for non technical teams to refer and implement.
• Utilized dashboards and project management tools to monitor key performance indicators (KPIs) and overall project health.
• Participated in the development and evaluation of proof-of-concept (PoC) solutions to explore new capabilities and features for Alexa.
• Conducted user acceptance testing (UAT) to ensure that new features and updates met the required standards before being rolled out to production.
• Worked closely with end users and stakeholders to gather feedback, identify issues, and ensure successful implementation.
• Utilized tools such as SQL, Quip sheets,and internal Amazon dashboards for data analysis, reporting, and visualization.
• Leveraged project management tools like JIRA and Confluence to manage tasks, track progress, and document project details.