Available to hire
I’m a Data Scientist with 5+ years of experience delivering measurable outcomes through data analysis, automation, and predictive modelling. I transform raw data into actionable insights that support decision-making, performance monitoring, and process improvement. I’m proficient with Power BI, SQL, and data pipeline development, and I work with Azure services (Azure Functions, Data Factory, Synapse) to build secure, scalable cloud-based solutions. I enjoy collaborating across teams and regions to turn analytical findings into strategic actions.
Skills
Experience Level
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
Intermediate
Language
English
Fluent
Work Experience
Data Scientist at Trinity Technolabs
October 1, 2025 - PresentLed advanced data analysis and model development using Python, SQL, and large datasets spanning 10+ enterprise systems, supporting long-term planning, risk evaluation, and performance review initiatives across leadership groups. Governed end-to-end data pipelines using Azure Data Factory and Azure Synapse Analytics, managing 20+ integrated datasets to ensure accuracy, traceability, and timely availability for analytics consumption. Oversaw development of Power BI reporting frameworks, delivering 30+ dashboards used across finance, operations, and strategy teams for weekly reviews, executive briefings, and regulatory reporting. Guided data quality standards, validation logic, and reconciliation processes across multiple environments, reducing rework and ensuring dependable outputs for downstream reporting. Mentored junior analysts and data scientists, reviewing code, analytical logic, and documentation, supporting 5+ team members through knowledge sharing and structured technical guidan
Data Scientist at GA R&D Ltd.
August 1, 2024 - September 30, 2025Deployed predictive models using boosting techniques such as LightGBM and regression methods to support lifecycle forecasting across multiple product lines, enabling more consistent demand and planning predictions. Streamlined data processing pipelines using Azure Data Factory and Azure Storage, reducing analytics delivery turnaround and enabling reliable ingestion of large-scale datasets in near real-time. Optimized model deployment workflows using Docker and Kubernetes, ensuring scalable execution, controlled versioning, and stable production integration. Established Python-based backend APIs to expose predictive outputs for real-time consumption, improving operational decision workflows. Applied the LangChain framework to integrate large language models for customer feedback analysis, processing millions of text records to generate structured insights and reduce manual review. Set feature engineering pipelines to prepare structured and unstructured data for modeling, improving consi
Research Assistant at University of Aberdeen
January 1, 2024 - March 31, 2024Developed an AI-powered form automation system supporting multiple formats including PDF, Word, Excel, and CSV, enabling automated form population using Large Language Models for structured data handling. Applied GPT-4 with prompt engineering to improve field interpretation accuracy and reduce manual data entry. Engineered semantic matching logic using embedding vectors and cosine similarity to align form fields with dataset attributes, improving consistency across varied document structures. Integrated OCR processing using PyTesseract to extract text content and coordinates from scanned forms, enabling accurate placement of values within templates. Evaluated multiple LLMs including GPT-4, LLAMA2, LLAVA, and Dolphin-Mistral for structured text extraction. Achieved 90%+ accuracy for Excel and Word automation and explored agent-based validation workflows for post-fill quality checks.
Senior Data Analyst at Cap Gemini
February 1, 2020 - February 28, 2023Devised ETL workflows using Azure Synapse Analytics, processing 1TB+ of data daily across multiple sources, improving transformation efficiency and reducing pipeline latency by 30%. Constructed predictive models in Python using Random Forest and XGBoost on historical datasets, supporting retention analysis and reducing customer churn rates by 18%. Created and maintained Power BI dashboards for 20+ departments, visualizing KPIs and operational metrics to support decision-making for enterprise clients and internal stakeholders. Migrated legacy systems to Azure SQL, consolidating databases into a cloud-based platform, improving data accessibility, and reducing infrastructure costs by $150K annually. Automated data integration and reporting processes using Azure Functions, enabling scheduled workflows, reducing manual intervention, and improving data accuracy for near real-time analysis. Collaborated cross-functionally using Azure DevOps and Git, following agile methodologies and contribut
Junior Data Scientist at Trinity Technolabs
July 1, 2018 - January 31, 2020Designed data models and analytical workflows using SQL, Python, and structured datasets, supporting analysis across 10+ business processes, enabling leadership teams to review trends, risks, and outcomes through consistent reporting layers. Built and maintained Power BI dashboards integrating data from multiple source systems, delivering 20+ reporting views used by operations, finance, and management for daily monitoring and monthly planning activities. Implemented data pipelines using Azure Data Factory and Azure Synapse Analytics, managing ingestion, transformation, and storage across 15+ datasets, improving data availability, and reducing manual handling effort. Created automation workflows with Azure Functions to schedule data validation, refresh reporting layers, and trigger alerts, supporting 24x7 data processing with minimal operational intervention. Performed data cleaning, validation, and quality checks across environments to ensure reliability for analytics. Partnered with b
Education
MSc in Data Science (Hons.) at University of Aberdeen, UK
January 1, 2023 - June 30, 2024B.Tech in Computer Science at ABESIT, India
August 1, 2014 - June 30, 2018Qualifications
Industry Experience
Software & Internet, Professional Services
Skills
Experience Level
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
Intermediate
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