FIRNAZ AHAMED

Van Nuys,CA

Summary

Accomplished Data Scientist with a proven track record at Levi Strauss & Co. Proficient in Python and machine learning, I excel in developing predictive models and delivering actionable insights. Adept at cross-functional collaboration and problem-solving, generating significant revenue growth and enhancing business strategies through innovative data solutions.

Overview

years of professional experience

Work History

Data Scientist II

Levi Strauss & Co

07.2022 - Current

Generated over €2M in demand revenue by reactivating inactive European customers through RFM segmentation.
Achieved $450k incremental revenue in US via development of a discount-seeking model for trigger campaigns.
Developed predictive model pipeline identifying top purchasers to enhance cross-category marketing strategies.
Conducted detailed customer segmentations to derive actionable insights for optimizing marketing initiatives.
Created Looker dashboards for tracking effectiveness of member benefits and targeted tests.

Data Scientist I

Meredith Corporation

02.2019 - 07.2022

Trained ensemble of XGBoost models to address customer propensity for fraud and chargeback, leading to over 20% reduction in fraud rates.
Developed a Renewal Offer Personalization Engine to customize renewal subscription billing frequencies, improving retention.
Created a recycling system for declined billing events, boosting approval rates and leading to an estimated $600k increase in annual revenue.
Performed anomaly detection at multiple levels to assess factors behind high fraud rates and implemented solutions.
Enhanced revenue forecasting accuracy by developing models for customer lifetime value prediction.
Built an end-to-end pipeline to assess fraud probability for new Bizcoin panel customers.

Data Science Intern

Qualcomm Technologies Inc

06.2018 - 09.2018

Developed a proof of concept demonstrating neural network model's operational efficiency over ARIMA for resource forecasting.
Created LSTM and GRU neural network models for time series forecasting of data center resource needs.
Conducted analyses to identify causes of job losses in data centers and trends in engineering function resource requirements.

Education

Master of Science - Electrical and Computer Engineering

University of California

Los Angeles

12.2018

Bachelor of Engineering - Electronics and Communication Engineering

Anna University

Chennai

05.2017

Skills

Python
SQL
R
Scala
Shell Scripting
Machine Learning
Deep Learning
Data Visualization
Big Data
Web Scraping
Gen AI
MATLAB
Tableau
Microsoft Office
Pandas
NumPy
Matplotlib
Sklearn
Seaborn

SciPy
Keras
TensorFlow
Statsmodels
Streamlit
XGBoost
BeautifulSoup
Spark
Pyspark
AWS
SageMaker
GCP
VertexAI
Jira
Git
Confluence
Airflow
Looker

Achievements And Awards

Academic Excellence Award, Recipient of Academic Excellence Award from Mr. Raymond Lim Siang Keat, Senior Minister of Foreign Affairs of Singapore for excellent academic performance.

Timeline