I am Sushma Sree, a data science professional with a First Class MSc in Data Science and 2+ years of experience extracting insights from large datasets. I am proficient in Python, SQL, Power BI, R, Excel, and PowerPoint, and I enjoy turning complex data into actionable business decisions. I have the right to work in the UK. I specialise in evaluating sales, space, and performance data to support medium-scale layout optimisation, category space planning, and customer-centric decision making. I thrive in collaborative environments and translate insights into platform optimizations and data-driven actions.

Sushma Sree

I am Sushma Sree, a data science professional with a First Class MSc in Data Science and 2+ years of experience extracting insights from large datasets. I am proficient in Python, SQL, Power BI, R, Excel, and PowerPoint, and I enjoy turning complex data into actionable business decisions. I have the right to work in the UK. I specialise in evaluating sales, space, and performance data to support medium-scale layout optimisation, category space planning, and customer-centric decision making. I thrive in collaborative environments and translate insights into platform optimizations and data-driven actions.

Available to hire

I am Sushma Sree, a data science professional with a First Class MSc in Data Science and 2+ years of experience extracting insights from large datasets. I am proficient in Python, SQL, Power BI, R, Excel, and PowerPoint, and I enjoy turning complex data into actionable business decisions.

I have the right to work in the UK. I specialise in evaluating sales, space, and performance data to support medium-scale layout optimisation, category space planning, and customer-centric decision making. I thrive in collaborative environments and translate insights into platform optimizations and data-driven actions.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
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Work Experience

Analyst at Mind Drift UK
April 1, 2025 - November 18, 2025
Analysed Daily User Activity logs to uncover engagement and task completion trends across 3K+ contributors, improving Training Task Efficiency by 40%. Led end-to-end BI Reporting, integrating multi-source logs via Python and SQL to publish 20+ Interactive Dashboards for engagement tracking. Designed and maintained ETL pipelines in Python and SQL to clean, validate, and merge data from multiple task sources, ensuring high-quality datasets for AI training analytics. Created Hypothesis Tests to identify factors influencing annotation quality and task drop-off rates, leading to targeted workflow improvements. Supported and contributed to 50+ AI Training Tasks, defining and tracking key KPIs like accuracy, response time, and engagement to improve contributor performance. Collaborated cross-functionally to translate insights into platform optimisations, supporting Data-Driven Decision Making within AI-training workflows.
Artificial Intelligence & Machine Learning Intern at IBM Skills Build
November 1, 2022 - November 1, 2022
Designed and Developed CNN-based models that improved predictive accuracy by 30%, engineered 15+ feature enhancements, increasing the relevance of model outputs by 40%. Conducted pattern recognition and statistical analysis to uncover trends and support business recommendations. Documented model assumptions, experiments, and outcomes, creating a reusable knowledge base for future AI projects. Collaborated with senior data scientists to evaluate alternative architectures (RNNs, transfer learning), contributing to project innovation. Communicated findings effectively to both technical and non-technical audiences.
Security Analytics Intern at Palo Alto Networks
May 1, 2022 - May 1, 2022
Supported the Security Analytics team by collecting, cleaning, and transforming security datasets from multiple sources. Assisted in risk reporting and metric calculation for internal security dashboards, ensuring data integrity and actionable insights. Collaborated with analysts to identify trends in threat logs and security events, supporting decision-making for security teams. Built Power BI dashboards to visualize key security KPIs, including incident frequency, response times, and risk scores. Coordinated a team of analysts during incident investigations, streamlining workflows and reducing alert handling time by 25%.

Education

MSc in Data Science at Robert Gordon University, Aberdeen, UK
September 1, 2023 - December 1, 2024
B.Tech in Computer Science and Engineering at Sanskrithi School of Engineering, JNTUA
June 1, 2019 - June 1, 2023

Qualifications

Microsoft Azure Fundamentals
January 11, 2030 - November 18, 2025
Power BI Analytics to Dashboard
January 11, 2030 - November 18, 2025
Data Analytics with Python
January 11, 2030 - November 18, 2025

Industry Experience

Software & Internet, Professional Services, Education