Thilak Sriram

Data Analyst with 1+ years of experience in Natural Language Processing (NLP), Machine Learning (ML), and Data Analytics. Skilled in data annotation, labeling, extraction, and transformation within healthcare and enterprise projects. Proficient in Power BI, AWS tools, and Excel with strong ability to convert raw data into actionable insights. Adept at collaborating with stakeholders and delivering data-driven solutions.

Data Analyst – NLP and ML Specialist - Objectways

(2024-01 - 2025-06)

• Performed large-scale data annotation, labeling, and validation for healthcare and NLP datasets while maintaining high accuracy and consistency.
• Extracted, processed, and structured unstructured textual data using NLP techniques to support analytics and AI model development.
• Managed end-to-end data workflows including data sourcing, cleaning, preprocessing, and transformation.
• Applied Natural Language Processing (NLP) methods to identify entities, patterns, and insights from clinical and healthcare documents.
• Utilized Amazon SageMaker and Tensor ACT for machine learning model preparation, experimentation, and execution.
• Supported ML pipelines by preparing training, testing, and validation datasets for predictive and analytical models.
• Designed and developed interactive Power BI dashboards to visualize KPIs, trends, and analytical insights.
• Built automated data refresh and reporting processes, reducing manual effort and turnaround time.
• Conducted Exploratory Data Analysis (EDA) to identify trends, anomalies, and data quality issues in large datasets.
• Ensured data quality assurance through validation rules, standardization checks, and error resolution.
• Worked on healthcare domain projects such as Lime, handling clinical trials and ICD-based datasets.
• Processed and analyzed clinical and medical data while adhering to domain-specific data standards.
• Collaborated with cross-functional teams to understand business and technical requirements and translate them into analytical solutions.
• Assisted in improving data accuracy, completeness, and integrity through continuous monitoring and review.
• Created structured datasets from raw sources to support machine learning and reporting needs.
• Used Excel and Power BI for data analysis, reporting, and ad-hoc business requests.
• Developed clear data visualizations and presentations to communicate insights to stakeholders.
• Supported decision-making by delivering actionable insights derived from analytical and ML outputs.
• Documented data processes, workflows, and findings to support knowledge sharing and audit readiness.
• Communicated analytical insights effectively to technical and non-technical stakeholders through reports and presentations.

B.E. - Electrical and Electronics Engineering - M. Kumarasamy College of Engineering