Tech Specs: R, Shiny, R Markdown, tidyverse, dplyr, SAS, CDISC Standards, Regulatory Reporting
Product owner and developer of user-friendly R Shiny app for the Biometrics team to quickly create standard Patient Profile PDFs for multiple studies without any coding required. Users create a configuration yaml file to define listings and figures based on SDTM/ADaM datasets. This file can be copied or re-used for newer studies, saving time and effort.
Patient Profile app Users can create new columns, set the order of columns, and edit the column labels and widths to customize the PDFs to their specific needs. The app generates figures for Lab, Safety, Efficacy, and Vital Signs data. App performs error checking validate the definitions. The app is accessible via Posit Connect, built using Golem package framework and testing
Write Study reports (tables, listings, and figures) using R scripts
Tech Specs: Regulatory Submissions, Clinical Research, CDISC Standards, Regulatory Reporting, R (Programming Language), Statistical Programming, SAS Programming
Lead the team for developing Safety, Efficacy and Enrollment Dashboards for Studies using R and SAS
Developed SAS coding and table templates for preparing, processing, and analyzing clinical data
Responsible for processing of clinical data required for analysis of clinical trials for Phases 1-4
Establish monitoring of data transfers for ongoing trials to identify study conduct or data quality issues
Tech Specs: Python, Spotfire, D3.js, HTML/CSS, Bootstrap, Plotly, R, tidyverse, dplyr, javascript, KPI, Regulatory Submissions, Clinical Research, CDISC Standards
Developed KPI dashboards to track site and subject progression in Clinical Trials, devised site engagement tactics, and implemented multiple data pipelines to create robust, live dashboards for stakeholders to support better business decisions
Used Web Technology and traditional Statistical methods to create data visualizations that are readily comprehensible, animated, storytelling, and highly fluid in visualizing the efficacy and safety of compounds. This reduced reliance on vendors, enhanced AbbVie's creative control, and enabled cross-departmental collaboration between clinical analytics, GMA statistics, and customer experience
Tapped into AbbVie, Citeline, DQS and TrialTrove data to identify potential Sites for new Clinical Trials
Tech Specs: Python, R, r2d3, Atlas, OMOP, tidyverse, dplyr, Shiny, Tableau, XML, SAS, Automation, Linux, Docker, Regulatory Submissions, Clinical Research, CDISC Standards
Developed a Python script to automate the creation of Table of Contents (TOC) PDF files for CSR and ISS submissions, significantly reducing generation and validation time from days to minutes
Led Phase-3 development of R Shiny Safety app with D3js and r2d3, awarded R&D President's Award
Used R to automate the extraction of titles and footnotes from Word templates provided by Biostatisticians, which sped up and improved the accuracy of Analysis Outputs
Generated Safety and Efficacy outputs in RTF and PDF format using SAS and R for Clinical Trials
Led SAS Servers migration for Biometrics team, ensured clinical trials milestones were not impacted, generated qualification reports, recreated programming environments, and resolved issues
Refactored and dockerized apps, produced Safety, Demography, and Efficacy reports using R
Synergized R and Tableau for rapidly generating annotated Safety Graphics to fulfill Safety requests
Tech Specs: Python, R, tidyverse, dplyr, Shiny, Tableau, XML, SAS Programming, Automation, Regulatory Submissions, Clinical Research, CDISC Standards
Co-developed and validated R-Shiny Dashboard to fulfil ad-hoc Safety Detection Signals requests on closed Clinical trials, thus reducing dependence on SAS, vendors, and internal resources
Lead the development of Safety Dashboards using Tableau for Ongoing Clinical trials, devised validation and real-time data pipelines using SAS, helping Safety team to analyze patients’ Safety Signals
Built Python toolkit for automated validation of Define.xml hyperlinks in SDTM and ADaM packages, significantly lowered the turnaround time for validation, and enhanced the Study submission process
Created Python toolkit for comparing Clinical Studies with aCRF annotations, raw and SDTM datasets
Tech Specs: Python, pyPDF2, SAS, MySQL and MS Excel
Saved days of work by creating Python tool for automating error corrections in Define.xml pdf of Clinical trials, presented the Paper on the tool at SAS Global Forum, April 2019
Tech Specs: Python and APM planner
Revamped modules for current measurement, logging and visualization to perform energy profiling for Drone
Tech Specs: Laravel, MySQL, JavaScript, Python, openCV2, Numpy, Embedded C, node.js, AngularJS, Bluetooth
Architected open-source model for the Greenhouse Automation, later inducted into Urban Farming Setup initiative
Co-developed websites for different initiatives of e-Yantra and managed three of its important initiatives
Built and deployed the Online Selection Test, taken by 40000 students and automated the result generation process
Administered Rackspace Server, Amazon Mail Service, GitHub repositories and Teaching Assistant for CS 308
Conceived project based theme, mentored and evaluated over 600 participants in Robotics competition
Oversaw Summer Internship program at e-Yantra, interviewed applicants, mentored Interns and managed programs
Tech Specs: PHP, Blueprint CSS, node.js, phpMQTT, MySQL, JavaScript, ESP8266, Lua, nodemcu
Built UX interface and API calls in PHP for handling real-time MQTT messages in controlling irrigation valves
Tech Specs: PHP, MySQL, Drupal, Joomla, CSS Blueprint
Provided Web solutions for the requirements of Department of Electronics and Communications
Tech Specs: PHP, MySQL, Drupal, Joomla, CSS Blueprint
Developed and maintained registration portal for Alumni data collection and registration
Tech Specs: Node.js, PHP, MQTT, Bootstrap, WebSockets, RESTful API, nodemcu, Lua, MySQL, AMCharts
Engineered Greenhouse automation system capable of auto-discovering irrigation valves and controlling them using MQTT protocol
Invented closed loop system with features like react system, valve scheduler, sensor data visualizer, sensors/valves health monitor
Designed UX interface based on AngularJS/bootstrap at front-end and PHP with MySQL persistence at back-end
Constructed IoT communication layer by revamping node.js based MOSCA MQTT broker and WebSocket
Developed API in node.js for automated channel creation for the local ThingSpeak server to perform data logging and Twitter alert
Github Link 1
Github Link 2
Tech Specs: Python, OpenCV2, Numpy, Embedded C
Developed a prototype Robot to provide provisions to patients in a hospital using color markers
Devised a Control System capable of environment sensing, obstacle detection, localization and controlling Robot for task performing
Applied real-time image processing using Python with openCV2 and instructions transmission in Zigbee protocol
Github Link
Youtube Link
Tech Specs: Python, OpenCV, Embedded C and scikit-learn
Led a team of three members in design and development of an autonomous cavity filling robot which builds a path during navigation
Devised a Control System capable of environment sensing, localization and transmitting instructions to Robot for task performing
Applied real-time image processing using Python with openCV2 and instructions transmission in Zigbee protocol
Provided as the theme project to the 600 participants for the e-Yantra Robotics Competition - 2016.
Youtube Link
Tech Specs: Laravel/PHP, MySQL, Memcached, Javascript, Bootstrap
Developed test-portal using Laravel with Memcached and JSON using AJAX which was deployed for 40000 participants
Devised MySQL database schema to store questions sets, user responses to them and their stats
Generated results with customized SQL queries and automated the project allocation for the qualified students
Tech Specs: Android, node.js, Restful API, and Angular 2
Developed an App for calculating nutrient requirement with little investment of time, utilized USDA and Wegmans APIs
Devpost Link
Tech Specs: Embedded C
Developed a prototype Robot for dropping custom numbers of Seeds into the differently placed holes
Constructed Seed storage chamber with inlets to allow seeds to fall into the wooden disk operated inside the Seed dispenser module
Built depth sensing capability for the Robot along with line following algorithm programmed in Embedded C
Github Link Youtube Link
Tech Specs: Laravel, Python, MySQL, Tornado, RESTful API
Incorporated Machine Learning algorithm to create a Robust Questions Analysis app with Question editor
Github Link 1 Github Link 2
Tech Specs: Python Tornado, WebSocket, MySQL, Angular 4
Designed a back-end framework for relaying High Speed Cryptocurrency trading data to a Front-end website
Github Link 1 Github Link 2
Tech Specs: Python, Hadoop - MapReduce and D3.js
Created text corpuses using NYTimes/Twitter API and built a Web app for visualizing word clouds
Github Link
Tech Specs: Android, SQLite, WebSocket
Leveraged Amazon Dynamo and DHT concepts to build a messenger providing Linearizability and Availability
Tech Specs: Apache Spark, openMP, Hadoop, Scala, C++
Applied pointer jumping technique and Message Passing Interface to compute connected components of distributed graphs
Github Link 1 Github Link 2
Tech Specs: Python, NLTK and Apache Spark
Performed Multi-Class classification on text corpuses collected from NYTimes articles using pyspark
Github Link
Tech Specs: Laravel/JWT, MySQL
Developed back-end framework to facilitate public restroom searches, check-ins and ratings on map
Github Link
Tech Specs: Python. TensorFlow, scikit-learn
Assessed Convolution Neural Network (CNN) in identifying Celeb faces with goggles and classifying handwritten digits
Github Link 1 Github Link 2
Tech Specs: MATLAB, SVM, SIFT
Created annotated UB Image Database and performed Scene recognition and generating panorama of over-lapping images
Github Link 1 Github Link 2
Tech Specs: PHP, MySQL, Blueprint CSS
Built Picture Puzzle Solving website with features for profile management, score tracking, and user moderation
Jayant worked with me as a summer intern. He is a very thorough and knowledgeable professional as well as a great presenter. He would be a great asset to any team and I would not hesitate in recommending him to any future employer.
I worked with Jayant for 10 weeks on a summer intern project. It has been an enjoyable and productive 10 week as we accomplished in developing a set of Python and SAS scripts to automate the process of fixing Define.PDF issues. SAS is good at generating PDF reports, but Jayant has the talents of leveraging existing Python libraries to edit and fix bookmarks, hyperlinks and other aspect of the PDF file. Not only is he a gifted programmer, Jayant was also effective in developing test scripts to ensure the final solution can handle diverse types of inputs resulting in a consistent and more robust tool. In addition to the technical aspect of our work, I also enjoy taking walks and hikes with Jayant as we explored various fields of technology raging from robotics and artificial intelligence. Based upon my experience mentoring Jayant on his internship, I recommend him as an effective programmer and team player.
Jayant worked on project e-Yantra at the Department of Computer Science & Engineering, IIT Bombay and managed the online systems related to the project. There are many aspects of the online systems such as on-line tests, managing e-Yantra competition portal and was also involved in an IOT project relating to agricultural testbed. He was also involved in mentoring summer interns and assisted them to work and completed the project assigned. He is a committed worker and can think independently and take on challenging work.
Jayant is a technical sound in both SW and HW, full of new ideas for innovation and ready to go an extra mile to achieve the goal. He has good understanding of machine learning, sw framework, understanding of hardware and system design.
Jayant is a technical sound in both SW and HW, full of new ideas for innovation and ready to go an extra mile to achieve the goal. He has good understanding of machine learning, sw framework, understanding of harJayant has a good understanding of requirements and is a quick learner of new frameworks and the latest software technologies. He has the ability to quickly switch between frameworks, languages and deliver results. He has a system-level understanding of hardware that is necessary for developing good solutions..