Fareen Magdum

Virtual Assistant – UB-Hacking (Winner)
Enhance network security with a virtual chat-bot proactive monitoring, analysis, and response capabilities

Working as the Product manager for a Healthcare coursework project involving the development of a web-app for assessment and treatment of ‘Sexually Transmitted Diseases’ using information-motivation and behavior theory
 Specified, prioritized, and communicated high level and detailed product specifications through user-stories, business rules, flows, and user experience generated deliverable such as wireframes and copy documents.
 Moderated focus groups to obtain insights that allowed… Show more

Working as the Product manager for a Healthcare coursework project involving the development of a web-app for assessment and treatment of ‘Sexually Transmitted Diseases’ using information-motivation and behavior theory
 Specified, prioritized, and communicated high level and detailed product specifications through user-stories, business rules, flows, and user experience generated deliverable such as wireframes and copy documents.
 Moderated focus groups to obtain insights that allowed to better understand customer needs.  Project responsibilities include - tracking application development, setting priorities for technical teams and refining the web-app from start to finish.


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Prototype of Pinterest.com
• User can create their own boards. Private and Public.
• User can specify the privacy of the group.
• Approve or reject the request of secret group.
• Upload Images or GIFs in their board.
Technology Stack: Spring-MVC, MongoDB, HTML, CSS, JavaScript, Jquery.

Virtualization project using VMware vCenter server, VI java, Elasticsearch, Logstash and Kibana.
• There are 2 virtual machines (VMs): one has hot add memory enabled.
• Logs are continuously collected from both the VMs using Java program which are then sent to Elasticsearch in AWS EC2 by Logstash.
• These logs can now be visualized using Kibana which is also installed on AWS EC2. Users can hot add memory from the application page developed as a dynamic web project.
• The… Show more

Virtualization project using VMware vCenter server, VI java, Elasticsearch, Logstash and Kibana.
• There are 2 virtual machines (VMs): one has hot add memory enabled.
• Logs are continuously collected from both the VMs using Java program which are then sent to Elasticsearch in AWS EC2 by Logstash.
• These logs can now be visualized using Kibana which is also installed on AWS EC2. Users can hot add memory from the application page developed as a dynamic web project.
• The webpage has charts embedded from Kibana which shows the CPU, memory, disk usage and network. Show less

Developed an application in NodeJS on top of node-http-proxy to provide load balancing functionality in round robin fashion. Provided RESTful APIs to configure below features of the load balancer:

• Health check of nodes by using heartbeat
• Gzip - dynamically enable or disable compression of requests and responses
• Pass requests through an intermediate forward node
• Maintain access logs of the requests
• Compute processing time for each request
• Assign unique id to… Show more

Developed an application in NodeJS on top of node-http-proxy to provide load balancing functionality in round robin fashion. Provided RESTful APIs to configure below features of the load balancer:

• Health check of nodes by using heartbeat
• Gzip - dynamically enable or disable compression of requests and responses
• Pass requests through an intermediate forward node
• Maintain access logs of the requests
• Compute processing time for each request
• Assign unique id to each request
• Latency and Error Handling

For data recovery, used MongoDB to store the application configuration and load from the database when application (re)starts.

Technology Stack: NodeJS, Express, MongoDB, Bootstrap, EJSless Show less

Developed RESTful API in Scala for a Digital Wallet system to store, retrieve and update User, Bank Account, Card Details and Web Logins.

• Developed API for REST Constraints and applied the concept of Conditional GET using ETag.
• Database operations performed using MongoDB
• Hosted database on MongoLab - MongoDB- as-a-Service.

Technologies Used: Scala and Spring Framework,MongoDB,AWS

• Developed the tool for diagnosing cardiovascular diseases using Medical Images like CT Scan, PET Scan and MRI.
• Performed Segmentation to lock left ventricular section of the heart.
• Extracted clinical parameters used for diagnosis which took minutes as opposed to the traditional time consuming diagnosis method used by doctors.
• Currently this tool is being used by Doctors of Jehangir Hospital, Pune
Technologies used: OpenCV, Digital Image Processing.

• Studied Twitter Platform objects like Tweets, User, Entities by setting up Hadoop Cluster using Cloudera platform
• Calculated metrics like busiest hour, top hashtags, most followed tweets.
• Created visualization of data using Highchart API.
Technologies: Hadoop, MapReduce, Hive

Developed a health recommendation system which gives recommendation for diet and exercises based on user details
• Implemented Market Basket Analysis and Collaborative Filtering using Apache Mahout and Hadoop to process large dataset to generate recommendations
• Performed batch workflow job scheduling through Azkaban to run Hadoop jobs
• Comprehensive evaluation of both the algorithms using transactional datasets