SUMMARY:

• 8+ years of experience as a Full Stack Software Engineer involved in various phases of SDLC.
• Strong data analytical and programming skills especially in programming languages like Java, Python, SQL.
• Solid understanding on Object Oriented Design, data structures and algorithms.
• Extensive knowledge on Java SE including Collection, Threading and Core Java.
• Have hands on experience in Spring, Spring Boot. Implemented REST Microservices using spring boot
• Good experience in developing applications with SOAP and RESTful Web Services.
• Expertise with SQL, relational databases and NoSQL databases like Apache Cassandra.
• Experience in writing and executing unit test cases using Junit, Mockito, PowerMockito.
• Passionate about solving complex business, data, and technical challenges.
• Developed rich user interfaces using HTML5, CSS3, Angular 2+, jQuery, JavaScript, Ajax and JSON.
• Experience in working with Angular modules, templates, directives, services and dependency injection to create a SPA.
• Experience in Developing User Interface (UI) Rich Web Applications, and Web Service Applications using Front End/User Interface (UI) Technologies like Object Oriented JavaScript, Type Script, Angular 4, Bootstrap, CSS Frameworks, Java.
• Hands on Experience on Angular CLI (Command line Interface).
• Good amount of work done on Reactive forms in Angular 2+ and their Validations.
• Implemented NGRX store to maintain the state of the application. NGRX store was used to store results after angular injector observable retrieved the data from backend.
• Working knowledge of Agile Development methodologies.
• Experience in conducting code reviews and evaluating code metrics.
• Have hands on experience with version control tools (GIT, SVN, CVS) and Build tools (Maven, Gradle).
• Good Knowledge of Amazon Web Service (AWS) EC2, S3 and EMR(Hadoop).
• Have good understating on Finance Industry /Banking Industry.
• Proficient in Statistical Modeling and Machine Learning techniques.
• Familiarity with quantitative finance concepts such as portfolio optimization, volatility pricing.
• Exposure to financial engineering domain through CQF ( in Quantitative Finance).
• Expert in data cleaning, data analysis and Data Visualization using Python (Pandas, NumPy, Matplotlib Packages etc.).

TECHNICAL SKILLS:

Java, J2EE, Spring, Spring Boot, GIT, CVS, Mockito, PowerMockito, Hibernate, Maven, Gradle, SOAP, Restful, Rally, Jira, OOP, Eclipse, Python, Python Libraries(NumPy, Pandas, Matplotlib, Seaborn, Scikit - learn, SciPy), Tableau, QlikView, HDFS, Oozie, Hive, Hadoop, Big Data, XML, Java Script, HTML, Unix, FactSet, Quandl, Jupyter Notebook, Anaconda, AWS, Agile, GitHub, Tomcat, Apache Cassandra, Angular2+,TypeScript, RXJS (Reactive Programming),Redux, NGRX (Store, Effects, Router-Store, Store-Devtools )

PROFESSIONAL EXPERIENCE:

Software Engineer

Confidential, Dearborn, MI

Responsibilities:

• Developed Bill of Material Application for Confidential Engineers.
• Developed Confidential Features and User Stories.
• Followed best practices when refactoring or developing new features for Confidential .
• Created Splunk dashboards and reports for BOM applications.
• Developed interfacing application for fetching initial and incremental load using spring framework.

Digital Web Coordinator

Confidential, Dearborn, MI

Responsibilities:

• Worked on implementing Google analytics event tracking on different web links of website.
• Maintained and Improved web content of Confidential web pages, as well as the University's presence in external social media and networking locations.
• Worked on Google forms in automating the web requests raised by different departments.
• Coordinated with different departments in University for improving content on Website.

Programmer Analyst

Confidential

Responsibilities:

• Worked with finance and insurance clients
• Worked on developing different layers of web applications and Implemented business logic using Core Java.
• Developed various test cases and performed unit testing with JUnit and integration testing.
• Worked on UI design artifacts like HTML, CSS and java Script frameworks.
• Used spring framework features like IOC, MVC, AOP and Hibernate Template.
• Assisted in updating the production incident reports and submitted summary report to management each month.
• Independently programmed mean-variance and Black Litterman model to enhance the asset allocation framework.
• Calculated the optimal weight distribution for different risk budgeting techniques.
• Used LedoitWolf covariance shrinkage concept to develop a robust covariance matrix.
• Used Sequential Least Square Quadratic Programming optimizer (SLSQP) from SciPy Package while developing risk budgeting techniques.
• This model combines ideas from CAPM, Confidential Statistics and the Markowitz’s mean variance optimization model to provide a tool for investors to calculate the optimal portfolio weights under specified parameters.
• Performed Correlation and standardization for a data set. Applied cluster analysis of the observations by using all the linkage methods and distance measures. Also Applied Minitab k-means clustering.
• Used bi-variate and multi variate analysis to understand the relationship between the variables, missing value treatment and imputation of missing values.
• Performed Apple stock forecasting with 5 different forecasting techniques
• Developed Interactive Dashboards for different Requirements of Roller coaster dataset.
• Requirements like total Roller coaster in different countries, average length of Roller coasters, max speed according to Type - for parks etc.,
• Developed dashboards for Air Quality dataset.
• Extracted and loaded Wikipedia data dump into AWS S3 service.
• Developed PageRank Algorithm using Hadoop MapReduce.
• Created a three-node cluster and deployed in EMR (Elastic MapReduce) service.
• Retrieved top 500 ranked Wikipedia pages.
• Extracted YouTube data using YouTube v3 API.
• Analyzed YouTube data using MapReduce framework to draw some insights like top 5 rated videos, top 5 categories, top 5 uploaders, top 5 likes, top 5 dislikes, top 5 Comments etc.