Data Scientist Resume

SUMMARY:

Data scientist with 8+ years of rich industry experience. Expertise in applying machine learning and AI techniques to develop solutions and solve complex business problems. Ability to communicate sophisticated technical ideas to variety of audiences. Experience in leading and mentoring team of data scientists, consultants and analysts.

SKILLS:

Machine Learning: Neural Networks, Deep Learning, NLP, Recommendation Systems, IoT

Software Development: Agile, Scrum, Jira, Wiki, Git, SVN, AWS, Predix, Microsoft Azure, Third Party API integration, Unit Testing, Code coverage

Database: MySQL, MSSQL, DB2, PostgreSQL, Cassandra, HDFS

Python: Scipy, Numpy, IPython, Scikit - learn, Pyspark, Pandas, Flask, Tensor flow, keras

R: Recommederlab, Random forest, glm, rpart, xgboost

SAS: Logistic Regression, Decision Tree, Proc

Visualization: Tableau, PowerBI, ggplot, matplotlib

WORK EXPERIENCE:

Data Scientist

Confidential

Responsibilities:

Lead and manage the data science effort for Partnership Marketing team.
Developed Logistic and Linear Regression models on Loyalty and Sentiment data to identify drivers for future bookings.
AI Chat Bot Proof of Concept for IT Operations Management Platform
Led a team consisting of a data scientist and analyst.
Deployed machine learning models on Predix for resolution of IT issues.
Integrated the models with Skype through api.ai using web hooks.
Energy management system for a multinational conglomerate
Developed machine learning models using concepts of IoT for energy usage forecast.
Built linear regression, decision trees and neural networks models on sensor data in python with MAPE of 8%.
Deployed models on Predix as micro services using Flask.

Lead Consultant

Confidential

Responsibilities:

Recommendation Engine for in car radio infotainment
Used collaborative filtering in R to get user - to-user and station-to-station (item) distance matrix and recommended the top 10 radio stations.
Used a hybrid technique (user-to-user and item-to-item) for the final recommendation.
Self-Learning Intelligent Car for UK’s largest Automotive manufacturer
Predicted the delay in activation and duration of auto massage seat feature using Decision Tree in R with accuracy of 80%.
Converted the R scripts to Python and demonstrated the integration of Python and R with Azure ML (Cloud based machine learning).
ATM Fraud prediction model for one of the top banks in Philippines
Used under-sampling and SMOTE (Systematic Minority over Sampling Technique) to increase the percentage of mimicked fraud to about 3% from ~ 0.003%.
Built rare event models using Logistic Regression, Random Forest and trained the model to detect potential fraudulent transactions with 76% accuracy leading to potential savings of 7.2 Million PHP.
Social Media Analytics in FMCG/Retail domain for a Consulting Firm
Led a team consisting of Consultants and Predictive Modeler.
Analyzed data from Social Networking Sites like Twitter, Facebook to monitor marketing campaigns and to link that to future sales prediction
Developed algorithms in R for Sentiment Analysis and Text Mining using NLP.

Senior Business Analyst

Confidential

Responsibilities:

Prepared index variables based on dealer, mobile operators etc.
Built fraud prediction model and created scenarios using 10%,15% biased sample and intercept readjustment technique.
Used logistic regression in the rare event data technique to improve the fraud capture rate by 5% in the first decile.
Customer Preference Modeling for a Digital Satellite Television Broadcast (DTH) major
Prepared product specific variables on the SQL database.
Built predictive models for propensity of a customer to buy a product over others (Cross Sell/Up Sell) using Logistic Regression in SAS and Neural Networks in R.
Improved the lift by 10 times and campaign response rate by 3 times the base rate.

Analyst, Consulting

Confidential

Responsibilities:

Raw material unloading yard Simulation for a global steel major
Forecasted increased in-bound arrivals of rakes and conceptualized process flow diagrams.
Developed integrated simulation models and recommended potential facilities to be added for increased steel production.
Inventory Management and Logistics Simulation for one of the leading bakery chains
Analyzed client’s truck fleet logistics and inventory reorder policy.
Developed continuous and periodic inventory reorder policy models in ProModel.

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