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Data Science professional with an MSc from the University of Glasgow and 3+ years of experience developing end-to-end data and AI solutions. Skilled in Python, PyTorch, and Spark to build production models for time-series forecasting, RAG, NLP, and GenAI. Combines software engineering expertise from full-stack development and Salesforce integrations with advanced analytics to deliver scalable systems and drive tangible business outcomes through strong collaboration across cross-functional teams.…Data Science professional with an MSc from the University of Glasgow and 3+ years of experience developing end-to-end data and AI solutions. Skilled in Python, PyTorch, and Spark to build production models for time-series forecasting, RAG, NLP, and GenAI. Combines software engineering expertise from full-stack development and Salesforce integrations with advanced analytics to deliver scalable systems and drive tangible business outcomes through strong collaboration across cross-functional teams.

Atharv Jain

Data Scientist, Data Analyst, Full Stack Developer, +2

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Data Science professional with an MSc from the University of Glasgow and 3+ years of experience developing end-to-end data and AI solutions. Skilled in Python, PyTorch, and Spark to build production models for time-series forecasting, RAG, NLP, and GenAI. Combines software engineering expertise from full-stack development and Salesforce integrations with advanced analytics to deliver scalable systems and drive tangible business outcomes through strong collaboration across cross-functional teams.…Data Science professional with an MSc from the University of Glasgow and 3+ years of experience developing end-to-end data and AI solutions. Skilled in Python, PyTorch, and Spark to build production models for time-series forecasting, RAG, NLP, and GenAI. Combines software engineering expertise from full-stack development and Salesforce integrations with advanced analytics to deliver scalable systems and drive tangible business outcomes through strong collaboration across cross-functional teams.

Available to hire

Data Science professional with an MSc from the University of Glasgow and 3+ years of experience developing end-to-end data and AI solutions. Skilled in Python, PyTorch, and Spark to build production models for time-series forecasting, RAG, NLP, and GenAI. Combines software engineering expertise from full-stack development and Salesforce integrations with advanced analytics to deliver scalable systems and drive tangible business outcomes through strong collaboration across cross-functional teams.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Work Experience

Data Scientist at Accenture

January 1, 2021 - December 31, 2024

Built predictive models (Scikit-learn + Prophet) for an EMEA client, applying regression and time-series techniques to forecast sales patterns and surface actionable customer behaviour insights. Developed PySpark ETL pipelines on Azure Databricks to ingest, clean, and model large-scale customer data, ensuring data quality throughout for reliable downstream analysis. Communicated analytical findings through Power BI dashboards, translating complex data into clear insights for senior stakeholders across technical and business functions.

Full Stack Developer at Accenture

January 1, 2021 - December 31, 2024

Delivered Pulsar, an offline-capable Django application, using Agile sprints to capture orders in low-connectivity EMEA regions. Engineered real-time and batch data pipelines using SQL and PySpark to ingest, clean and transform customer records into structured datasets. Integrated with Salesforce CRM via REST APIs to synchronize transactional data and ensure reporting consistency.

Salesforce Developer at Accenture

January 1, 2021 - December 31, 2024

Delivered customized Salesforce CRM solutions by translating client requirements into scalable, data-centric solutions. Developed Lightning pages, custom API fields, and automated workflows to improve system integration, optimize operations and streamline data flows. Managed CMS content delivery across platforms, ensuring accurate, timely updates and consistent user engagement.