Engineer Software

SUMMARY

Machine learning engineer with * years of experience in building data products for a major retail company and 3 years as a software engineer working for major consulting company. Proven experience in solving business problems with ability to build rapport with the business stakeholders. Core competencies include:

Statistical analysis • Predictive Modelling • Time Series Forecasting • Data Cleansing • Data Visualization • Experimental Design • Big Data • Econometrics • Machine learning • Feature Engineering • NLP • Deep Learning • Web & Social Analytics • Explainable Machine Learning • Data Storytelling

PROFESSIONAL EXPERIENCE

Pier1Imports • Fort Worth, TX May 2018-Present

Machine Learning Engineer

Trained and deployed end to end implementation of the store and ecom traffic forecast models which helped marketing and planning teams to identify traffic risk which equates to $21 million for holidays.

Trained and deployed customer lifetime value and propensity models which reduced the business reliance on external vendors and saved them $80K per month.

Implemented and productionized store revenue forecast models for each of the 950 which helped the business make incentive plans for stores.

Reverse engineered personas segmentation with CLV that provided the business with insights on new customer acquisition and customer targeting.

Developed fractional factorial tests which helped the marketing team identify the appropriate mix of offer elements for the email marketing campaign.

Built an apache airflow server as POC for coordinating and scheduling distributed computing jobs like calling data pipelines and machine learning models.

Built data pipeline framework using python and pandas to transform millions of customer transactions data from data warehouse.

Implemented framework to back-test time series models, cumulative lift curves and ROC graphs to evaluate model performance for different classifiers.

Spearheaded the data science team to adopt CRISP-DM methodology for data science projects.

Contributed to open source package lifetimes which increased the performance of one of their plotting functions by reducing the time from 400ms to 11ms on 4000 records that I tested.

Accenture • Chennai, Tamil Nadu Jan 2014-Dec 2016

Software Engineer

Implemented SAP CRM (Customer Relationship Management) Service Module for a leading media technology company which increased theirs after sales service revenue by 20%.

Developed multiple reports/dashboards using Tableau for insights on customers for leadership team.

EDUCATION

Master of Science in Information Systems (Business Analytics) GPA: 3.91/4.0 Jan 2017-Dec 2018

The University of Texas at Arlington, Arlington, TX

Winner of UTA analytics competition

Bachelor of Engineering in Electrical and Electronics Engineering First class Sep 2009-April 2013

Anna University, Chennai, Tamil Nadu

TECHNICAL SKILLS

Data Analysis: Regression (GLM), Classification (Random Forest, LGBM, Xgboost, neural networks) • Hypothesis Testing (ANOVA, t-tests) • Unsupervised Learning (DBScan clustering) • (UMAP, TSNE) • LDA

Tools & Languages: Python (sci-kit learn, NumPy, pandas, Genism, NLTK, Seaborn, matplotlib) • R • Linux • SQL (Oracle, MySQL, MariaDB) • NoSQL (MongoDB) • Big Data (PySpark, Hadoop MapReduce, Spark RDD, Data frames, Hive) • Tableau • PowerBI • Alteryx • Beautiful Soup • Git • MLflow • Airflow • PyTorch • AWS

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