Geetika Ahuja
@geetikaahuja
Senior Analyst - Forecast Modelling
New Delhi, India
Individual with 5+ years of experience in advanced analytics and data science across multiple sectors like Retail, Healthcare and Supply Chain. Geetika has a strong background in developing predictive models and optimizing complex business processes. She is proficient in utilizing machine learning and deep learning techniques to drive revenue maximization and improve service levels.
Experience
Senior Analyst - Forecast Modelling
United Airlines
Improve aircraft material demand forecast to increase service levels (reduce flight delays & aircraft out of service) and optimize inventory cost. Out of service by parts reduced by ~10% for domestic traffic. Conceptualize purchase forecast of aircraft parts based on the current inventory position, material demand and other factors impacting the purchase. Thus optimizing the purchases worth $ 500M throughout the year. Optimize inventory allocation at different stations throughout the network in order to improve service levels.
Senior Applied Data Scientist
Dunnhumby India Pvt Ltd.
Plan and evaluate campaigns across various channels (In-Store, Digital & Paper) for retailers and CPGs to maximize their revenue and fill sales gap throughout the year. Estimate headroom of customers of the retailer client by predicting their future and potential spend. This is done by implementing Machine learning & deep learning techniques on historical transaction and coupon redemption trends. Conceptualize and create customer segments based on consumer behavior in plant based(Vegan) products and on their journey to be a Vegan. Identify customers highly likely to purchase via different online channels in near future using machine learning methods. Use the results to provide better customized offers through online channels. Use time series forecasting to predict the impact of upcoming trade driver campaigns on the sales and revenue of the retailer and further strategize the campaigns. Migrate and automate existing media measurement solutions to PySpark, this cut short execution time by 50%.
Analyst
Deloitte
Optimize clients’ software licensing by cost reduction (~20%), harvest license for reuse, and minimize waste by analyzing software purchase and usage pattern. Review transactions and analyze customer data to assess deployment of software products using selective testing on their environment. Built dashboards using Tableau to provide easy access to the clients’ information.
Education
BITS Pilani
Master of Technology
Data Science & Engineering
Mathematical foundation for Data Science, Introduction to Statistical Methods, Machine Learning, Deep Learning, Artificial Intelligence.
Guru Gobind Singh Indraprastha University
Bachelor of Technology
Computer Science
Licenses & Certifications
Neural Networks and Deep Learning
Deeplearning.AI
Machine learning
Stanford
Supply Chain Analytics
MIT
Bayesian Statistics
University of California, Santa Cruz