Data Scientist | Machine Learning | Python | SQL | Power BI | PySpark | Azure Databricks | MLOps
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Results-driven Data Scientist based in Birmingham, UK, with hands-on experience in data modelling, statistical analysis, predictive modelling, customer segmentation and business intelligence across retail, consumer products and debt recovery. Skilled in SQL, Python, R, PySpark, Power BI and Azure. I build clean modelling datasets, predictive models, insight tools and dashboards that translate complex data into clear business decisions.
Strong background in machine learning, computational statistics, scalable data workflows, interactive reporting and MLOps.
Data Scientist - Infosys Limited - Jan 2023 to May 2025
Developed a Power BI sales portfolio analytics and reporting platform for the billion-dollar US confectionery market, supporting SRM and trade teams with sales performance, promotion effectiveness and revenue KPI insights.
Processed large retail sales and marketing datasets using Python, R, PySpark and SQL, covering data cleaning, transformation, feature engineering and modelling dataset preparation.
Developed MMM-style sales-driver models using log-log regression to measure the impact of price, promotions, feature/display activity, seasonality, holidays, stock-up effects and competitor actions.
Translated model outputs into sales attribution, promotional lift, ROI estimates and driver contribution waterfalls for business stakeholders.
Worked with Azure Databricks, Azure Data Factory, Azure Data Lake, Azure SQL Database, Azure DevOps and MLOps workflows. Collaborated with data scientists, data engineers, product owners and business analysts.
Associate Data Scientist - Infosys Ltd - Feb 2022 to Jan 2023
Built an RFM model using Python, machine learning, SQL and Power BI to segment 200K+ customers by payment behaviour and outstanding debt.
Supported targeted recovery strategies that increased recovery rates by 18% and reduced average recovery time by 12 days.
Created executive Power BI dashboards for customer segments, debt ageing, exposure and recovery status, with SQL/Python data cleansing, transformation and analysis.
MSc Data Science - Coventry University - May 2025 to May 2026 - 73%
Modules include Machine Learning, Data Management Systems, Big Data Analytics and Data Visualization, Data Science Project and Individual Research Project. Project: NLP sentiment analysis on Amazon Books reviews using TF-IDF, SVM, Naive Bayes and Random Forest.
BTech Mechanical Engineering - Visvodaya Engineering College - July 2017 to June 2021 - 65%.