SUMMARY

• Having close to 3 years’ experience in Data Science & Analytics projects and overall 14 years of experience in IT industry in various roles.
• Solid experience collaborating with Datawarehouse developers and Application Developers to meet Analytics Business user needs
• Developed Predictive Models using various machine learning algorithms for Classification, Regression, Clustering etc.
• Strong expertise in statistical modelling techniques - GLM, Linear Regression, Logistic Regression, Tree Models, Random Forest, GBM, Cluster Analysis, Principal Component Analysis
• Strong expertise in regularization & variable selection techniques - Lasso, Ridge, elastic Search
• Strong expertise in model validation techniques - CrossValidation (CV), bootstrap, hold-outs.
• Well-versed with Data Exploration & Statistical Analysis methods - Hypothesis testing & Confidence intervals, Feature Engineering etc.
• Strong knowledge of Feature Engineering - Feature creation using transformation, binning, categorical reduction etc.
• Strong experience in Modelling frameworks in Big-Data platforms - Apache Spark, Spark SQL
• Strong knowledge in Data Visualization tools - Tableau, Python Seaborn, Matplotlib, R ggplot
• Developed extensive Data wrangling operations to collect and aggregate data from multiple sources.
• Experience in Data Engineering - using SQL queries including query optimization with DB performance monitoring tools
• Expertise in Python, R & Java programming languages.
• Performed multiple roles in Technology projects including Agile Scrum Master, Business Analyst, Lead Developer
• Strong Analytical skills
• Worked extensively in Agile methodologies - Certified SCRUM MASTER
• Good team player and having strong leadership skills.

TECHNICAL SKILLS

Machine Learning: Classification, Regression, Clustering, Feature Engineering, Linear Models, Random Forest, XG Boost, Light GBM, Neural Networks (MLP), K Means Clustering, Naïve Bayes, SVM, SVC

Statistical Methods: Regression models, Hypothesis testing and Confidence Intervals, Principal Component Analysis & Dimensionality reduction

Languages: Python, R, Java, SQL

Software & Packages: Python (scikit-learn, numpy, scipy, pandas, pandas ml, seaborn, matplotlib), R (dplyr, ggplot2, reshape2, tidyr, lubridate) Oracle PL/SQL, Confidential, ECL, MongoDB, Tableau

Operating Systems: Linux, Windows

Databases: Oracle, DB2, MongoDB

Tools: and Utilities: Tableau, RStudio, Eclipse, TOAD, ERWin, SOAPUI, JIRA, Quality Center, Splunk, Salesforce, Jive, Spyder, Jupyter Notebook

PROFESSIONAL EXPERIENCE

Confidential, NJ

Data Science & Analytics Consultant

Responsibilities:

• Worked on Machine learning algorithms in Python - Random Forest, GLM models with regularization techniques, GBM models etc.
• Worked on distributed datasets in Apache Spark on Hadoop platform for Data manipulation, data extraction using Spark SQL
• Develop customized Predictive models for Business entities for optimal Offer rollout to end customers
• Involved in re-engineering of SAS predictive models to Python & R models
• Evaluate Predictive Model management processes against Industry best practices
• Work with IT teams to support data collection and integration requirements based on business needs
• Data Collection from multiple disparate sources like mainframes, external file sources, Web Services, Oracle / DB2 databases.
• Manipulate large data sets through a variety of statistical packages in R & Python
• Extensively worked on Data Visualization tools & programming using Tableau, Python & R
• Ad-hoc analysis & presenting results to Business users

Environment: Python - pandas, scipy, scikit-learn, matplotlib, pandas ml, json, xml

Confidential, NJ

Business Analyst / Data Analyst

Responsibilities:

• Collect Business & Functional requirements from Business owners & SMEs.
• Documenting the complex business rules for identifying business linkage based on the source data
• Create Data Dictionary, Data Mapping rules document
• Co-ordinating with multiple functional teams and stakeholders

Environment: SAP Data Services, Oracle, Java, Mainframes

Confidential, VA

Technology Lead / Business Analyst

Responsibilities:

• Functional SME / Requirements Management
• Provide Architecture / Design for J2EE components
• Onsite - Offshore coordination
• Provide guidance to the team in design & implementation
• Co-ordinate with multi-vendor cross-functional teams

Environment: Java, Spring, Hibernate, Web Services, Spring ROO, ExtJS

Confidential

Technology Lead / Lead Developer

Responsibilities:

• Gained expertise in ECL programming
• Built a Proof-of-Concept in Cloud using ECL

Environment: ECL

Confidential

Business Analyst

Responsibilities:

• Functional SME / Requirements Management in JIRA.
• Requirements Management - Iteration planning, Change Management.
• Built a Proof-of-Concept in Cloud using ECL

Environment: Java, JSF, Spring, Hibernate, Web Services, JMS, ChartFX, PD4ML

Confidential

Technology Lead

Responsibilities:

• Design / Develop Java/J2EE components.
• Design reviews & Code reviews
• Providing technical guidance and mentoring for the team
• Status tracking and reporting to stakeholders

Environment: Java Web Services WS 2.0, Java, JDBC, JNDI, SQL, PL/SQL, XML, Opencsv, Groovy scripts, POI, JAXB, SAX, DOM, JSP, Spring, XML, XSL, Struts, Hibernate

Confidential

Developer

Responsibilities:

• Design / Develop Java/J2EE components.
• Design reviews & Code reviews

Environment: JSP, JavaScript, EJB, Java and Servlets