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Geetika (RID : 6v6vls4l6kdu)

designation   Science Analyst

location   Location : Delhi, India

experience   Experience : 8 Year

rate   Rate: $44 / Hourly

Availability   Availability : 2 Week

Work From   Work From : Any

designation   Category : Information Technology & Services

Shortlisted : 0
Total Views : 12
Key Skills
Data Scientist Python Machine Learning Airflow
Discription

WORK EXPERIENCE

Senior Applied Data Scientist Dunnhumby India Pvt Ltd. 04/2018 - 10/2020 Gurugram Customer Engagement 5% increment in the participation rate and 20% in sales uplift for a retail client's loyalty program by running apt campaigns across various channels Create ML model to identify customers highly likely to purchase via different online channels.

Led to 20% incremental penetration in online space Plan budget for upcoming trade driver campaigns using time series metholdogies and forecast the impact on sales and revenue of the retailer Automated processes/model training leading to 50% reduction in man-hours annually

Analyst Deloitte 10/2015 - 06/2017 Gurugram Risk Management Optimize clients’ software licensing infrastructure by harvesting licenses for reuse, and minimize waste by analyzing software purchase and usage patterns. This led to a 20% decrease in the cost structure Review transactions and analyze customer data to assess deployment of software products using selective testing on their infrastructure

 

Project Details
Title : E-Commerce project - Wayfair
Duration : 8 (Month)
role and responsibileties :

Role : Data Scientist

1) Create ML models predicting the performance of catalog products in order to identify "Future Bestsellers" and bridge inventory gaps.

2)Conceptualise and design multiple experimentation for "Future Bestseller" products to study their impact on website ranking results. This resulted in incremental sales of $24M annually.

Description :

E-Commerce project - Wayfair


Title : Merchant & GSO
Duration : 9 (Month)
role and responsibileties :

Role : Data Scientist II

1) Create ML models to predict merchant churn in order to take proactive steps to help retain the merchants. This led to a reduction in churn rate by 10PP

2) Identify merchants profitable in multiple categories to increase their engagement. This led to an incremental sales of ~750K in Q3 projected ~3M per year

3)Conceptualise and own complete lifecycle of Data Science Project - Data Pipeline, Machine Learning Models & Production Deployment

Description :

Merchant & GSO


Title : Inventory Forecasting
Duration : 17 (Month)
role and responsibileties :

Role : Senior Analyst - Forecast Modelling

1) Own Aircraft Material Demand Forecasting solution and manage stakeholders. Lead a team of two Data Scientist

2) Improve aircraft material demand forecast models to increase service levels and optimize inventory cost. Out of service by parts reduced by ~10%

3) Conceptualize purchase forecast of aircraft parts based on the current inventory position, material demand, and lead times. Optimizing the purchases worth $ 500M throughout the year

Description :

Inventory Forecasting


Title : Customer Engagement
Duration : 30 (Month)
role and responsibileties :

Role: Senior Applied Data Scientist

1) 5% increment in the participation rate and 20% in sales uplift for a retail client's loyalty program by running apt campaigns across various channels

2) Create ML model to identify customers highly likely to purchase via different online channels. Led to 20% incremental penetration in online space

3) Plan budget for upcoming trade driver campaigns using time series metholdogies and forecast the impact on sales and revenue of the retailer 4)Automated processes/model training leading to 50% reduction in man-hours annually

Description :

Customer Engagement


 
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