Jayant Solanki Email & Phone Number

Sunnyvale, Ca, Us

Miami, Florida, Us

As an R/Python Programmer and Dashboard Developer, I work with CDISC data to analyze clinical trial data. I utilize R and Python to clean, transform, and statistically analyze complex datasets. To visualize key metrics and trends, I build interactive dashboards using R Shiny and Python, enabling data-driven decision-making in clinical trials. Believer of Pharmaverse.

Encinitas, California, Us

Senior Data Analyst Consultant - BioMarin- 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

San Francisco, California, Us

- 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-

North Chicago, Illinois, Us

Tech stack: CDISC, Python, R, Shiny, Spotfire, D3js, Linux, Pandas, tidyverse, RStudio- 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

North Chicago, Illinois, Us

Tech stack: CDISC, Python, R, Shiny, Shiny Modules, SAS, Docker, D3js, r2d3, Ubuntu, Pandas, Tableau, elementTree- 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

North Chicago, Illinois, Us

Tech stack: Python, R, Shiny, SAS, Ubuntu, Pandas, Tableau, elementTree, 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

Sunnyvale, Ca, Us

Tech stack: Python, PyPDF2, PDF, SAS, MySQL, Scrum, Test Automation, MS Excel Suite• 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

My roles:Researched solutions for challenges in IoT Systems, Embedded Systems and Computer Vision in team and individual capacity.Architected open-source model for the Greenhouse Automation which later inducted into Urban Farming Setup initiative of e-Yantra.Co-developed currently running websites for different initiatives of e-Yantra and managed three of its important initiatives.Co-developed and administered the Online Selection Test taken by 40000 engineering students and automated the result generation process.Handled the critical job of administering Rackspace Server, Amazon Mail Service, GitHub repositories and contributed in CS 308 course of IIT - B. Conceived project based tasks for nearly 600 participants of Robotics competition, counseled them and evaluated their solutions.Oversaw Summer Internship program by interviewing and selecting applicants, mentored interns and their requests.Conducted annual events for different initiatives of the e-Yantra, facilitated inter-departmental communications and helpdesk.Interviewed candidates for the M.Tech RA program of IIT - Bombay.Tech stack: Python, openCV2, Numpy, PHP - Laravel, MySQL, JavaScript, Embedded C, node.js, AngularJS, Excel, Bluetooth

Mumbai, Maharashtra, In

Iot Connected Valves for irrigation of GreenhouseDepartment of Computer ScienceMy roles:Collaborated with hardware developer in developing and testing compact and portable module for automating Greenhouse irrigation.Built UX interface and API calls in PHP with MySQL for handling real-time MQTT messages in controlling irrigation valves.Tech stack: PHP, Blueprint CSS, node.js, phpMQTT, MySQL, JavaScript, ESP8266, Lua, nodemcu

My roles: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.Team id eYRC#2447

Team lead

My roles: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.Team id eYRC#628

My roles:Developed and administered the official website for the department using Content Management System.Wrote content for the regular updates related to academic and non-academic events.Developed and maintained portals for Alumni profile management systems and registration.Tech stack: PHP, Joomla, MySQL, Drupal, Blueprint CSS

Master Of Science - Ms, Computer And Information Sciences

B.Tech Computer Science & Engineering, Computer Science

Senior Secondary, Pcm With Computers