PROFESSIONAL SUMMARY:

• Around 4 years of IT experience in Machine Learning and software development, including profound expertise and experience on statistical data analysis such as transforming business requirements into analytical models, designing algorithms, and strategic solutions that scales across massive volumes of data.
• Proficient in Statistical Methods like Regression models, hypothesis testing, confidence intervals, principal component analysis and dimensionality reduction.
• Expert in Python scripting. Worked in stats function with Numpy, visualization using Matplotlib/Seaborn and Pandas for organizing data.
• Extensive experience in Text Analytics, generating data visualizations using Python and creating dashboards using tools like Tableau.
• Utilized analytical applications like Python and R to identify trends and relationships between different pieces of data, draw appropriate conclusions and translate analytical findings into risk management and marketing strategies that drive value.
• Experienced in writing complex SQL Quires like Stored Procedures, triggers, joints, and Sub queries.
• Interpret problems and provides solutions to business problems using data analysis, data mining, optimization tools, and machine learning techniques and statistics.
• Work closely with customer's, cross - functional teams, research scientists, software developers, and business teams in an Agile/Scrum work environment to drive data model implementations and algorithms into practice.
• Excellent organizational and analytical skills.
• Experience of developing data science capability.
• Excellent written and oral communication skills.
• Ability to read, understand, and communicate technical documentation.
• Strong communication, presentation and business and technical writing skills

SKILL:

Databases: Oracle, MySQL, SQLite, NO SQL, RDBMS, SQL Server 2014, MongoDB, PostgreSQL

Database Tools: PL/SQL Developer, Toad, SQL Loader

Web Programming: Html, CSS, Xml, JavaScript

Programming Languages: Python, SQL, R, Scala, C, JAVA

DWH BI Tools: Data Stage 9.1, 11.3, Tableau Desktop

Machine Learning: Supervised and unsupervised learning, Regression, clustering, SVM, Decision trees, Classification, Recommendation systems, Impact analysis, Association Rules, Survival Analysis

Data Visualization: Matplotlib, seaborn, ggplot, plot.ly, bokeh, d3.js, Tableau

Pandas, numpy, scipy, scikit: learn, tensorflow, spacy

EMPLOYMENT HISTORY:

Principal Machine Learning Engineer

Confidential, Los Angeles, CA

Responsibilities:

• Worked with the Impact analysis team closely and performed root cause analysis.
• Designed and developed real time recommendation engine to rank sales leads for upsell opportunities
• Refined personalization algorithms for 1M+ customers on web and mobile
• Transformed raw data from Twitter API into MySQL with custom-made ETL application to prepare unruly data for machine learning
• Made several machine learning pipelines and applied decision tree analysis, using Python to predict whether an email is spam
• Conducted cluster analysis to generate segmented profiles of customers

Data Scientist

Confidential, NJ

Responsibilities:

• Design and develop prediction models for new clinical conditions.
• Develop machine learning production-ready code utilized by clinicians.
• Conceive, design, and write research manuscripts.
• Design data structure and application interfaces to retrieve and maintain clinical data.
• Design, generate specifications, and develop back-end and front-end software using MEAN stack and Python on Amazon Web Server infrastructure.
• Collaborate with others in crafting and implementing your technical vision.
• Developed predictive causal model using annual failure rate and standard cost basis for the new bundled services.
• Design and develop analytics, machine learning models, and visualizations that drive performance and provide insights, from prototyping to production deployment and product recommendation and allocation planning.
• Worked with sales and Marketing team for Partner and collaborate with a cross-functional team to frame and answer important data questions. prototyping and experimenting ML algorithms and integrating into production system for different business needs.
• Application Machine Learning algorithms with Spark Mlib standalone and R/Python.
• Worked on Multiple datasets containing 2billion values which are structured and unstructured data about web applications usage and online customer surveys
• Design, built and deployed a set of python modeling APIs for customer analytics, which integrate multiple machine learning techniques for various user behavior prediction

Software Developer

Confidential

Responsibilities:

• Developed, debugged, tested and fixed bugs that are raised in the process right from the requirement gathering to Implementation of the project involving in all phases of the Software Development Life Cycle(SDLC).
• Developed the multi-user application using Java and J2EE Technologies like JSP, Spring MVC, RESTful Web Services and Hibernate.
• Developing UI using JavaScript, AJAX, Bootstrap, jQuery, CSS, and HTML.
• Created Classes, Methods for different functionalities and error handling, exception management features in the application.
• Also performed large data analysis to develop multiple custom models and algorithms to drive innovative business solutions.
• Perform Data profiling, preliminary data analysis and handle anomalies such as missing, duplicates, outliers, and imputed irrelevant data.
• Remove outliers using Proximity Distance and Density based techniques.
• Involved in Analysis, Design and Implementation/translation of Business User requirements.
• Experienced in using supervised, unsupervised and regression techniques in building models.
• Performed Market Basket Analysis to identify the groups of assets moving together and recommended the client their risks
• Experience in determine trends and significant data relationships using advanced Statistical Methods.

Software Engineer

Confidential

Responsibilities:

• Participated in design and development as a Core Java and J2EE Software developer. Understanding business and software requirement plus utilizing technology to enunciate data flow between front end and back end technologies.
• Developed Client-side UI changes using JSP, JavaScript, AngularJS, JQuery, HTML, CSS, AJAX, JSTL, jQuery, JCP, JSP, Spring MVC, Spring IOC, Spring JDBC and Web services.
• Developed web applications using Spring MVC, JQuery and used Eclipse IDE for designing, coding and developing applications.
• Developed and designed new cross-browser accessible interfaces using JQuery and JavaScript. Involved in writing JSPs, JavaScript and Servlets to generate dynamic web pages and web content. Used WebLogic for deployment of applications.
• Data Operations are performed using Spring ORM wiring with Hibernate and Implemented Hibernate Template and criteria API for Querying database.