Sakshi Jairath

Data Analyst (Postgraduate Researcher) De Montfort University @ De Montfort University

About

Data Analyst with an MSc in Data Analytics (De Montfort University) and a background in Computer Science. I specialize in the full data lifecycle—cleaning messy datasets, building predictive models, and translating results into clear, decision-ready stories.What I bring to the table:Predictive Analytics: Built churn models and sales forecasts (ARIMA, Prophet) with up to 20% improvements in accuracy.Technical Stack: Expert in Python, SQL, Power BI, and Tableau.Domain Experience: Proven impact across E-commerce, Telecom, and Healthcare.Selected Project Successes:Telecom: Identified high-risk segments with 30% higher churn risk using Random Forest (~88% accuracy).Retail (ONS, UK): Forecasted national trends through 2026, providing a strategic roadmap for stakeholders.Healthcare: Reduced equipment misplacement risk by 30% via a custom blockchain-based tracking system.Currently seeking roles as a Data Analyst, BI Analyst, or Junior Data Scientist where I can contribute to data-driven strategy and continuous improvement.

Country

United Kingdom

City

Leicester

Industry

Information Technology & Services

Skill

Predictive Modeling, Feature Engineering, Machine Learning, customer rentation analysis, Random Forest, Data Forecasting, clustering, Business Insights, Data Analysis, SQL, Microsoft Power BI, Microsoft Excel, Data Visualization, Python (Programming Language), Tableau, Statistical Data Analysis, Data Modeling, Business Intelligence (BI), Attention to Detail, Stakeholder Engagement

Experience

Data Analyst (Postgraduate Researcher) De Montfort University

De Montfort University

2025-5 - 2026-1 · 9 mos

Leicester

Telecom Churn Prediction: Engineered a predictive model using Python (Scikit-Learn) and Random Forest, achieving ~88% accuracy and identifying customer segments with a 30% higher churn risk. Retail Trend Forecasting (ONS Data): Developed a time-series forecasting solution using ARIMA and Prophet to predict UK retail trends through 2026, delivering actionable insights via Power BI. E-commerce Segmentation: Optimized marketing spend by improving forecast accuracy by 20% through K-Means clustering and customer behavior analysis. Tech Stack: Python (Pandas, NumPy, Scikit-Learn), SQL, Power BI, Machine Learning, Time-Series Analysis.

Business Analyst

Sakura Electronics

2021-7 - 2022-9 · 1 yr 3 mos

India

Financial Modeling: Developed automated pricing and profitability models in Excel, leveraging statistical analysis to reduce pricing decision turnaround time by 20%. Commercial Intelligence: Synthesized large-scale sales and cost datasets to improve product margin visibility by 15% for senior stakeholders. Demand Planning: Conducted Exploratory Data Analysis (EDA) on customer purchasing patterns, enhancing stock planning efficiency and demand accuracy by 15%. Revenue Integrity: Audited revenue and cost tracking workflows, reducing pricing-related discrepancies by 20%.

Trainee data analyst

National Informatics Centre, MeitY

2021-2 - 2021-6 · 5 mos

New Delhi

Data Governance: Optimized operational data workflows for government reporting, improving cross-departmental data consistency and integrity by 15%. Advanced Querying: Engineered complex SQL queries to validate high-volume datasets and investigate anomalies, reducing reporting errors by 20%. System Innovation: Designed a Blockchain-based asset tracking system for hospital management, reducing equipment misplacement risk by 30%.