Dhiyanesh Sundara Rajan
Coventry
Summary
Data Scientist with hands-on experience building predictive models, forecasting solutions, and automated analytics pipelines using Python and SQL. Strong background in statistical modelling, machine learning, and large-scale data processing, with experience translating business problems into actionable insights across retail and risk domains. Skilled at communicating complex analytical findings to both technical and non-technical stakeholders. Passionate about customer behaviour, demand forecasting, and data-driven decision-making.
Overview
10
10
years of professional experience
Work history
Customer Advisor
Boots UK
2025.04 - Current
- Operate within a high-volume retail environment, gaining practical insight into customer purchasing behaviour and seasonal demand patterns.
- Support inventory accuracy and stock control processes, ensuring alignment between system data and physical stock.
- Contribute to store performance KPIs including sales metrics and customer satisfaction targets.
- Follow compliance and operational procedures in a regulated retail environment.
Customer Service Representative (Part-Time)
Welcome Break
2024.09 - 2025.02
- Managed high-volume transactions and customer interactions in a fast-paced retail setting.
- Supported sales performance through active promotion of loyalty programs and offers.
- Ensured compliance with regulatory requirements for age-restricted product sales.
Warehouse Associate (Part-Time)
Amazon
2023.10 - 2024.02
- Processed and dispatched high-volume orders, consistently exceeding performance targets.
- Supported inventory management and stock rotation processes to maintain supply chain efficiency.
- Ensured data accuracy in inventory systems through quality checks and compliance with safety protocols.
Data Analyst
Hrucha Consultants Pvt Ltd
2022.08 - 2023.08
- Designed and implemented predictive analytics solutions using Python and SQL to support KPI monitoring and risk assessment.
- Built automated data pipelines to source, clean, and transform large datasets (1M+ records), improving reporting efficiency by 40%.
- Developed anomaly detection logic to identify irregular patterns in operational data, improving control effectiveness.
- Created dynamic Power BI dashboards to visualise performance metrics and trends for cross-functional stakeholders.
- Translated business requirements into analytical problems and delivered data-driven recommendations.
Senior Associate
Inspiro Solution
2020.01 - 2022.07
- Built and maintained Power BI reports and dashboards to track KPIs and support stakeholder decision-making.
- Partnered with data engineering teams to design validation frameworks ensuring data integrity and consistency.
- Automated critical validation and reporting processes, reducing manual effort by 25%.
- Delivered analytical insights that contributed to a 10% improvement in service delivery efficiency.
Associate
Aagna Corporate Service
2016.02 - 2019.12
- Conducted exploratory data analysis on large operational datasets to identify trends and control gaps.
- Built Tableau dashboards to support management decision-making.
- Developed time-series forecasting models for inventory demand, reducing stock waste by 20% and improving supply planning accuracy.
- Automated reporting workflows, reducing manual processing time and improving data reliability.
Education
Master of Science (MSc) - Data Science
Coventry University
CoventryBachelor of Engineering -
Anna University
IndiaSkills
- Programming & Tools: Python, SQL, R, Excel, Tableau, Power BI
- Libraries & Frameworks: pandas, NumPy, scikit-learn, TensorFlow, Keras, OpenCV
- Machine Learning: Regression, Classification, Clustering, Feature Engineering, Model Evaluation, Cross-Validation
- Analytics & Modelling: Time-Series Forecasting, Predictive Modelling, Statistical Analysis, Anomaly Detection
- Data Handling: Data Cleaning, Large Dataset Processing
- Other: Agile methodology, Stakeholder Communication, Reporting Automation
Projects
Retail Demand Forecasting
- Built a time-series forecasting model using Python to predict product demand based on historical sales data.
- Applied feature engineering techniques to capture seasonality and trend components.
- Evaluated performance using MAPE and RMSE to optimise forecasting accuracy.
- Designed a reproducible pipeline structure to simulate deployment-ready workflow.
Tools: Python, pandas, NumPy, scikit-learn, statsmodels, Matplotlib, Seaborn.
Sign Language Prediction using Deep Learning
- Developed a Convolutional Neural Network (CNN) to classify sign language gestures from images.
- Applied OpenCV for preprocessing and trained models using TensorFlow and Keras.
- Improved classification performance through hyperparameter tuning and data augmentation.
Tools: Python, TensorFlow, Keras, OpenCV
https://github.com/dhiyaneshs/Sign-language-prediction-Deep-learning.git
Machine Learning Predictive Model of Breast Cancer
- Built supervised machine learning models to classify malignant vs benign tumours.
- Performed data cleaning, feature engineering, and model comparison using scikit-learn.
- Evaluated models using accuracy, precision, recall, and ROC-AUC metrics.
Tools: Python, scikit-learn, Pandas, NumPy
https://github.com/dhiyaneshs/Machine-Learning.git
Timeline
Customer Advisor
Boots UK
2025.04 - Current
Customer Service Representative (Part-Time)
Welcome Break
2024.09 - 2025.02
Warehouse Associate (Part-Time)
Amazon
2023.10 - 2024.02
Data Analyst
Hrucha Consultants Pvt Ltd
2022.08 - 2023.08
Senior Associate
Inspiro Solution
2020.01 - 2022.07
Associate
Aagna Corporate Service
2016.02 - 2019.12
Master of Science (MSc) - Data Science
Coventry University
Bachelor of Engineering -
Anna University