SUMMARY:

• Microsoft Certified Data Science and Machine Learning professional with five plus years of experience in all phases of diverse projects specializing in Data Science, Energy and Quality Analytics, Azure Machine Learning and Tableau. Team builder with excellent communications, time & resource management and continuous client relationship development skills.

TECHNICAL SKILLS:

R Programming, R Studio: Python

Talend, Tableau: Gretl, Matlab

Transact SQL: Special Software - French Creek DownHole Rx, Beilstein, SciFinder, ChemACX, PC Spartan, PC Titan, GC Solutions (Shimadzu GC), Peak Pro (GC), Atlas, ChemStation (Agilent GC), Agilent OpenLab, MultiTek Software (Antek, total S and N), ChemOffice, LIMS, Sample Manager, and SAP

SQL Server 2012/14: Excel

PROFESSIONAL EXPERIENCE:

Confidential, Houston, TX

Associate Data Scientist

Responsibilities:

• Performed wastewater treatment analysis data extraction, manipulation, cleaning, analysis, modeling and data mining using R programming in R Studio.
• Designed 10+ dashboards in Tableau reporting water and wastewater treatment processes and analysis.
• Extensive Data Analysis using R focusing on identifying patterns and process effectiveness for removing oil from waste water resulting in 15% improvement in safety levels for environmental discharge.
• Developed different Clustering mechanisms for categorizing Shale Stability tests, Core study, Core flow analysis, Breaker and permeability tests.
• Used complex Design of Experiments, preparation of required media, buffers, book keeping for inventory.
• Acquired and cleaned using Talend and structure data from Confidential source including external and internal databases.
• Studied the data to create/customize models to analyze/visualize important KPIs for the project.
• Developed and executed processes for accurate data capture across all clients to obtain key insights and relationships to overall business objectives using Statistical Hypotheses Modeling.
• Exploratory data analysis using R to deep dive into internal and external data to diagnose areas of improvement to increase efficiency.
• Utilized Booted Decision Tree, Linear and Bayesian Linear Regression Machine Learning models in Microsoft Azure to develop and implement interactive webservice predictive models.
• Designed, built and deployed a set of R modeling APIs for fluid analytics, which integrate Confidential machine learning techniques for various fluid behavior predictions.

Confidential, Houston, TX

Senior Data Research Associate

Responsibilities:

• Subject - Matter Expert (SME) or domain expert for Oil and Gas industry especially for Hydraulic Fracturing, Stimulation Fluids, Completion Fluids, and Acidizing.
• Integrated with the Machine learning (Regression model) for predicting rheological test efficiencies for fracturing jobs using systems such as cross-linked gels, linear gels and slickwater fluids.
• Used extensive statistical correlation techniques and Hypotheses Modeling to study relation between Hydraulic Fracturing, Stimulation Fluids, Completion Fluids and Acidizing.
• Developed category segmentation using SQL providing customizable view to decrease resource costs by 50%.
• Improvised various statistical models to help in better decision-making on sector growth, leading to development of new chemicals for fines control, delaying cross-linker leading to cost reduction of $1/ lb, for a consolidated savings of $3.2 Mil a year.
• Actively pursued data quality compliance, assessed risk factors and generated models and scenarios for forecasting operational risk.
• Analyzed Learning Management System (LMS) and implemented improvements for process variation thereby reducing lead time by 30%.
• Developed a dashboard using Tableau to provide the management with an overall understanding of resource optimization, attaining incremental revenue worth $1.2 million.

Confidential, Baton Rouge, LA

Senior Business Data Analyst

Responsibilities:

• Subject-Matter Expert for Basic Chemicals and Intermediates.
• Led technicians, and Quality Specialists to develop new laboratory test methods and improve existing test methods that led to 30% reduction in test life cycle for blind-period rechecks.
• Extracting unstructured data from various sources and crosschecking unstructured data for accuracy.
• Data Cleanup of hazardous materials (HAZMAT) and performing Statistical Quality Control for the analysis of natural gas/ liquid mixtures, ASTM procedures, EPA protocols, for ISO 17025.
• Acquired, analyzed and interpreted microscopic data and presented observations.
• Utilized Data Transformation techniques on chemical and electrical transformations of the data derived from Gas Chromatography (GC) for the qualitative and quantitative determination of various gas /liquid mixtures.
• Performed correlation studies for various gas mixtures.
• Formulation of Data Quality check rules in consultation with field personnel such as Process management & improvement and to ensure strict adherence to protocol by team members on the Lab practices.
• Data verification and error tracking to ensure high quality levels in team productivity.
• Classification of raw datasets into industry standard based categories.
• Crosschecking the data flowing from the internal tools and making the changes in the redundant data and fixing the issues.

Confidential

Analytical Chemist

Responsibilities:

• Performed Design of Experiments (DOE) with detailed process development and validation for the calibration of instruments.
• Pioneered laboratory standards and QC, calibration of instruments, establishing test method parameters and analytical procedures, and conducting training for chemists on new methods.
• Used mathematical calculations, statistical analysis along with preparing SQC charts, graphs, Sigma and mean values.