About
Experienced Data Scientist and Data Engineer with 8+ years of experience delivering data-driven solutions across Data Science, Machine Learning, Artificial Intelligence, and Data Engineering domains. Skilled in Python, SQL, data analytics, ETL pipelines, machine learning models, and building scalable data solutions that transform complex data into actionable insights. I have worked with global clients on diverse projects involving data platforms, analytics, AI/ML solutions, and automation. Passionate about solving real-world problems through data, developing intelligent systems, and leveraging emerging technologies such as Large Language Models (LLMs) and Generative AI. I hold an MPhil in Data Science and continuously explore advancements in AI, machine learning, and modern data architectures to create impactful solutions.
Experience
Lead Data Scientist
InLinkers CX
2025 - Present
• Develop AI and machine learning solutions using Python and AWS.
• Design scalable data pipelines and ETL workflows.
• Build Power BI and Tableau dashboards for business analytics.
• Optimize SQL databases and cloud-based data platforms.
• Collaborate with stakeholders to deliver data-driven solutions and mentor junior data scientists.
Senior Data Scientist
PureLogics
2022 - 2025
• Develop machine learning models and predictive analytics solutions.
• Design scalable data pipelines and data processing workflows.
• Build interactive dashboards using Power BI and Tableau.
• Optimize SQL queries and data warehouse performance.
• Collaborate with cross-functional teams to deliver data-driven solutions.
Data Scientist
PureLogics
2020 - 2022
• Developed machine learning and statistical models for business analytics.
• Performed data extraction, transformation, and analysis using Python and SQL.
• Built ETL workflows and automated data processing pipelines.
• Created reports and dashboards using Power BI and Amazon QuickSight.
• Improved data quality and model performance through feature engineering.
Data Scientist
LOGICON
2019 - 2020
• Developed predictive models using Python and machine learning techniques.
• Analyzed large datasets to generate business insights.
• Built data visualizations and BI reports using Tableau and Power BI.
• Optimized SQL queries and supported data warehouse solutions.
• Collaborated with stakeholders to identify analytics requirements.
Data Scientist
ADDO AI
2018 - 2019
• Built machine learning models for classification and prediction tasks.
• Developed data pipelines using AWS services and Python.
• Performed data cleaning, feature engineering, and exploratory data analysis.
• Supported business intelligence reporting and dashboard development.
• Integrated data from multiple sources for analytics and reporting.
Certificates
Claude Code in Action
Anthropic
No date specified
Introduction to Model Context Protocol
Anthropic
No date specified
Building with the Claude API
Anthropic
No date specified
Introduction to agent skills
Anthropic
No date specified
Skills
Data WarehousingData EngineeringData AnalysisBusiness Intelligence (BI)Data ScienceMachine LearningPythonSQLMicrosoft Power BITableauAmazon Web Services (AWS)Amazon EC2Amazon Relational Database Service (RDS)AWS LambdaAWS GlueAmazon S3Amazon RedshiftAmazon QuickSightData Scraping