AKHIL MATHEW
Secaucus,NJ
Summary
Seeking the role of Data Scientist to make a difference in the products and services by exploring, analyzing, modeling the right data and generating meaningful & actionable insights. To empathize with business owners and help them understand & use smart data science solutions through visuals and effective communication. To challenge myself and to learn advanced machine learning methodologies to implement scalable & statistical solutions.
Overview
13
13
years of professional experience
Work History
Lead Data Scientist
Macy's
08.2021 - Current
- Led building of data science solution for improving allocation of product units to store locations to maximize sale of full-priced units. GCP Vertex-AI pipeline based automated jobs were developed to simulate half-a-million combination of features to reduce allocation error. This work resulted in 4.5M incremental gross margin dollars.
- Developed forecasting model using exponential smoothing framework which predicts foot traffic across all stores. Model has been automated using pipelines in GCP Vertex AI platform and results act as core input to financial planning and sales forecast for merchandizing
- Built smart measurement method for supply chain services by creating a deep learning model to predict shipping costs and made recommendations to reduce shipping expenses
SENIOR DATA SCIENTIST
TARGET CORPORATION
08.2016 - 07.2021
- Identified prospective customers for a marketing campaign to acquire users for company credit card utilizing a highly imbalanced binary classification gradient boosted trees model in Pyspark that gained 130% more customers than the traditional approach.
- Measured incremental sales from a nationwide consumer loyalty program by synthesizing control group using XGBRegressor in a time series framework and shared results in Jupyter Notebook
- Created prototype for a forecasting model using ARIMA and GLM in R to predict sales of trendy online market items using 1010 data and helped generate $1.6M in toys category.
- Built topic model using Gibbs Sampling Dirichlet Mixture Model and a combination of Universal Sentence Encoder & deep learning model for Target's HR survey comments. BERT's sentiment analysis pipeline was used to score polarity of team member responses.
- Recommended white space opportunities in digital assortment using text analytics applied on consumer search information pulled from Target.com & market item information in 1010 data and made use of list comprehension in Python to reduce the runtime to 8%.
- Measured store level sales forecast from Demand Forecasting Engine for Store Assortment Optimization product using Hadoop streaming which reduced runtime to 0.7% and automated visualization of dashboards in Domo.
- Segmented hyper-local items based on regional preferences for diverse merchandise categories with brick and mortar market item data by Nielsen using k-means clustering and decision tree learning algorithm.
- Clustered target stores based on product specifications, sales metrics and market share data using principal component analysis and hierarchical clustering to identify localization opportunities
BUSINESS ANALYST INTERN
CARLSON ANALYTICS LAB
01.2016 - 05.2016
- Segmented customers to provide targeted promotions based on their foot traffic in a shopping mall and analyzed data collected through Wi-Fi usage of customers in the facility using R and SQL to update contracts for multiple tenants to increase revenue by 2%.
- Built interactive dashboard with Tableau to visualize various analyses and engineered data to be in the form for continuous analysis for segmentation, foot traffic visualization and events evaluation.
SOFTWARE ENGINEERING ANALYST
ACCENTURE | India
06.2011 - 05.2015
- Configured campaigns for a German automobile manufacturer to create personalized SMS surveys on prospects found through test-drives and created analytical reports identifying customer segments.
- Integrated pricing tool and CRM module for real-time updating of price in contracts and facilitated simplified user interface for customers for a multinational data networking company.
- Built technical solutions to business requirements, followed agile methodology and help clients solve their problems through effective communication.
Education
Master of Science - Business Analytics
UNIVERSITY OF MINNESOTA, Carlson School Of Management
Minneapolis, MN05.2016
Bachelor of Technology - Applied Electronics and Instrumentation
UNIVERSITY OF KERALA
Trivandrum04.2011
Skills
Data Sourcing: GCP-Bigquery, Hadoop-Hive, SQL,Pig, PostgreSQL
Machine learning: GLM, Clustering, Tree-based algorithms, NLP, Deep Learning, Time-Series Analysis
Programming: Python, R, Oozie, Shell scripting, Github
Others: Jira, Tableau, Domo, R-Shiny, Bokeh, MS Excel
Accomplishments
- Mentor for Post Graduate Program in Data Science and Business Analytics at UT Austin|Greatlearning.com - 2021
- Certified Statistical Business Analyst Using SAS 9: Regression and Modeling Credential - April 2016.
Timeline
Lead Data Scientist
Macy's
08.2021 - Current
SENIOR DATA SCIENTIST
TARGET CORPORATION
08.2016 - 07.2021
BUSINESS ANALYST INTERN
CARLSON ANALYTICS LAB
01.2016 - 05.2016
SOFTWARE ENGINEERING ANALYST
ACCENTURE | India
06.2011 - 05.2015
Master of Science - Business Analytics
UNIVERSITY OF MINNESOTA, Carlson School Of Management
Bachelor of Technology - Applied Electronics and Instrumentation
UNIVERSITY OF KERALA