SHASHANK MISHRA
Gurgaon
Summary
Results-driven analytics professional with experience at Ernst & Young GDS, specializing in predictive analytics and process improvement. Leveraged Python and advanced modeling techniques to enhance forecast accuracy, achieving a 17% reduction in inventory. Strong project management and communication skills foster collaboration and drive impactful business outcomes.
Overview
1
1
Certification
9
9
years of professional experience
Work History
Associate Manager (SC Strategy & Analytics Team)
Ernst & Young GDS
Noida
02.2022 - Current
- Fortune 500 Manufacturer: Led end-to-end demand forecasting using Python-based time-series and machine learning models, improving forecast accuracy and enabling inventory optimization strategies that reduced overall inventory by 17% while supporting business service-level objectives.
- Collaborated with stakeholders on strategic PPD transformation initiative, building waste visibility frameworks and customer prioritization models to support insourcing and MTO conversion. Delivered $2.6M in waste reduction within 3 months and improved forecast accuracy through increased order certainty.
- Developed Spend Classifier tool to predict item taxonomy based on item description, supplier name, and supplier address, selecting optimal ML model from XG Boost, Logistic Regression, Naive Bayes, and SVM Automation, saving 45 working hours. Tool used by client to classify non-tagged items and analyze spend classification, uncovering potential savings of up to 20% of total spend.
Data Analyst Consultant
Ernst & Young GDS
Gurugram
08.2020 - 02.2022
- Developed multivariate product segmentation model for global client, focusing on revenue, service level, margin, order size, and order variability, optimizing inventory and defining network strategy.
- Developed entitlement model for product allocation for Electronics major, using Python, DAX on PBI. Resulted in potential savings of $10 Million.
- Executed product segmentation for food and agricultural products major, rationalizing portfolio across major markets using Python for modeling, SQL for data extraction, and Power BI for visualization.
- Collaborated with data scientist team to forecast daily finished product demand, improving accuracy by 10% from baseline and enhancing OTIF and revenue using Azure and Spark.
Functional & Operations Analytics Analyst
Accenture Services Private Ltd
Gurugram
07.2017 - 08.2020
- Retail Stores Major, Netherlands
- Improved forecast accuracy of promotional and regular sales weekly, reducing stocked-out items by 50%. Used ANOVA and Mann-Kendall Test to analyze seasonality and trend relations, informing feature engineering. Applied XG Boost model in R for granular sales forecasting, resulting in 17% inventory reduction.
- Cosmetics and Beauty Products Major, Japan
- Executed customer segmentation and clustering with Python and SQL to enhance targeting strategies for increased returns and loyalty. Implemented K-Means clustering based on customer lifecycle, spend, visit frequency, and purchase history. Conducted A/B testing to measure campaign effectiveness on targeted segments.
Education
Post-Graduation - IEOR
IIT Bombay
Mumbai01-2017
Skills
- Predictive Analytics, Data Modelling
- Machine Learning
- Data transformation
- Data analysis tools
- Azure Databricks, Synapse
- Project management
- Process improvement
- Effective communication
- Presentations
Languages
English
Proficient (C2)
C2
Hindi
Proficient (C2)
C2
Accomplishments
- Highest Performing Team 2025 - EY GDS
- Spot Award - 2026 Q1
- Spot Award - 2025 Q4
Certification
- IBM Data Science
- Data Science Using Python IIT Roorkee E&ICT
Timeline
Associate Manager (SC Strategy & Analytics Team)
Ernst & Young GDS
02.2022 - Current
Data Analyst Consultant
Ernst & Young GDS
08.2020 - 02.2022
Functional & Operations Analytics Analyst
Accenture Services Private Ltd
07.2017 - 08.2020
Post-Graduation - IEOR
IIT Bombay