AKSHADA DHADGE
Glasgow,United Kingdom
Summary
Data Scientist with 2 years of experience in analytics and machine learning, complemented by 4 years in IT. Proficient in Python and SQL, with a focus on data pre-processing and model evaluation. Skilled at translating complex datasets into clear insights for diverse stakeholders. Committed to continuous improvement and delivering impactful results.
Overview
7
7
years of professional experience
5
5
years of post-secondary education
Work history
Data Scientist
Derivco Sports
Ipswich, England
2024.04 - 2025.04
- Developed and evaluated predictive models to identify churn indicators, enhancing user retention strategies and reduce user churn by 10%.
- Mapped user journeys to identify friction points, contributing to significant UX improvements.
- Extracted, transformed, and validated data from multiple relational databases, ensuring data integrity and optimised SQL queries for reporting and analysis.
- Created dashboards that presented insights, enabling informed decision-making for product teams.
- Collaborated with ML engineers to optimise model performance and reliability, enhancing data workflows.
- Enforced robust data validation and consistency checks across pipelines, improving model reliability and reducing data issues by 20%.
- Documented data workflows and model logic in Confluence, strengthening knowledge sharing and accelerating new team onboarding
- Worked with cloud-based environments (Azure/Databricks) to support data workflows and reporting solutions.
- Collaborated cross-functionally with product teams and business stakeholders, taking ownership of analytical deliverables and communicating insights and recommendations to technical and non-technical audiences
Data Analyst - Internship
Victoria Solutions
2024.01 - 2024.03
- Cleaned and transformed messy retail sales data using SQL, resolving inconsistencies, handling missing values, and preparing data for analysis.
- Conducted exploratory data analysis (EDA) to identify sales trends, seasonal patterns, and outliers across product categories, time periods, and regions.
- Designed interactive dashboards and visual reports using Tableau / Power BI, highlighting key business metrics such as revenue trends, best-selling products, and underperforming regions.
- Applied statistical analysis and basic predictive models to forecast future sales and identify potential growth opportunities.
- Used data storytelling techniques to present actionable insights to non-technical stakeholders, focusing on improving sales strategy and inventory planning.
- Executed machine learning models to support data-driven decision-making and evaluate business scenarios.
Associate - Projects
Cognizant Technology Solutions
Pune
2021.11 - 2022.08
- Conducted in-depth analysis of insurance claims data to identify patterns in claim approvals, denials, and frequency of service usage.
- Utilized Python (Pandas, NumPy, Matplotlib, Seaborn) to perform data cleaning, pre-processing, and exploratory data analysis (EDA).
- Created visual dashboards to summarize key metrics like claim status distribution, patient demographics, and top claim categories.
- Implemented data validation and anomaly detection techniques to flag irregularities in claim amounts and policy numbers.
- Segmented customers based on policy type, claim history, and coverage to aid in risk profiling and premium optimization.
- Worked on identifying uninsured individuals by cross-referencing policy data and claim records, helping improve customer retention strategies
- Prepared executive reports and delivered presentations to senior stakeholders, contributing to data-informed business decisions.
- Languages/Tools used: Python, Tableau, SQL, MSSQL
- United HealthCare
Software engineer
Transperfect Solutions
Pune
2018.08 - 2021.10
- Built and maintained web components using Java, JavaScript, HTML, and CSS.
- Integrated APIs and handled frontend validations to improve UX and reliability.
- Contributed to UI localization, code refactoring, and reusable component development.
- Debugged and enhanced Java-based logic using Eclipse/IntelliJ and OOP principles.
- Collaborated in Agile teams, using JIRA for sprint planning and task tracking.
- Managed version control and CI/CD pipelines with Git, SVN, and Jenkins.
- Performed basic MySQL operations to support web features
Education
Bachelor’s of Engineering - Information Technology
Pune University
Pune, India 2013.06 - 2017.06
Master of Science - Information Management
University of Strathclyde
Glasgow, United Kingdom 2022.09 - 2023.09
Skills
- Programming: Python, SQL
- ML & Data Libraries: pandas, NumPy, scikit-learn, TensorFlow
- Machine Learning: Regression, Classification, Clustering, Random Forest, Gradient Boosting, XGBoost
- Data Visualisation: Tableau, Power BI, Matplotlib, Seaborn
- NLP & Deep Learning: RNNs, LSTMs, Embeddings
- Databases: MySQL
- Tools: Git, Streamlit, JIRA, Confluence
- Predictive modelling, Data storytelling, Dashboard creation
Websites
Other projects
Built a language translation model using LSTM-based encoder–decoder architecture for sequence-to-sequence learning., Text Pre-processing – Applied NLP techniques (tokenization, lemmatization, TF-IDF) for text data cleaning and feature extraction.
Accomplishments
- Received Departmental Prize for the Best Overall Performance.
- Received internal recognition for automating complex data queries, reducing manual effort and improving operational efficiency.
LEARNING & DEVELOPMENT
- Experimenting with LLM-based workflows using Transformers and prompt engineering techniques for structured NLP and information extraction tasks.
- Applied Deep Learning – RNN, LSTM, Seq2Seq, Embedding Models
Timeline
Data Scientist
Derivco Sports
2024.04 - 2025.04
Data Analyst - Internship
Victoria Solutions
2024.01 - 2024.03
Master of Science - Information Management
University of Strathclyde
2022.09 - 2023.09
Associate - Projects
Cognizant Technology Solutions
2021.11 - 2022.08
Software engineer
Transperfect Solutions
2018.08 - 2021.10
Bachelor’s of Engineering - Information Technology
Pune University
2013.06 - 2017.06