Kshitiz Gupta

About

With a solid foundation from Vivekananda Institute's Computer Science program, my latest endeavor at Johnson & Johnson involved developing automation solutions that enhance drug trial designs. We delivered proof-of-concept automations using Python, blending my expertise in data engineering with the power of AI to offer competitive intelligence and streamline R&D processes. My role capitalized on creating efficiencies, evidenced by automating the Drugs@FDA portal extraction, resulting in a robust competitive advantage. Through collaboration, our team facilitated the integration of new capabilities into the Blue Prism platform, fostering a culture of innovation and driving strategic decision-making in R&D IT.

Experience

• Developer · Self Employed2022-07-01 –

  • Developed POC solution using embeddings to find similarities between two text, phases. • Designed and delivered a proof-of-concept automation using Python and Blue Prism to navigate the Drugs@FDA portal and extract 70+ data attributes to feed downstream data science models. These models deliver competitive intelligence supporting novel clinical trial design. • Researched and tested new capabilities (Capture, Decipher and Interact) for the Blue Prism automation platform at J&J, collaborated with key stakeholders in Technology Services and delivered a presentation and recommendation to R&D IT leadership to inform future strategy • Designed and delivered a proof-of-concept automation using Python for table extractions as an input to an NLP model to map to eCRF form names in clinical trials. The project was a cutting-edge technology-driven solution that combined Optical Character Recognition (OCR) and Natural Language Processing (NLP) with Python programming language and Amazon Web Services (AWS). The project aimed to automate the process of extracting and processing information from scanned documents and digital files. The OCR technology was used to recognize and digitize text from images and scanned documents, while NLP algorithms were used to analyze and understand the meaning of the text. The combination of these technologies allowed the project to accurately extract information from a variety of sources and formats, including PDFs, images, and even handwritten documents. The project was built using Python, a powerful and versatile programming language that is well-suited for NLP and OCR applications. The end result was a highly efficient and effective solution that transformed the way information was extracted and processed from documents. The project was able to significantly reduce manual data entry and improve data accuracy, making it a valuable asset for organizations in a wide range of industries.

• Software Developer · Deloitte India (Offices of the US)2021-03-01 – 2022-07-01

  • Providing additional facility to existing functions such as table migration between Redshifts. • Formulating a vision for how technology will be utilized within the company, outlining company goals and timelines for research and development, developing technical aspects of the company’s strategy for alignment with its business goals, ensuring that the technological resources satisfy the company’s short and long-term needs, verifying all technological practices adhere to regulatory standards and compliance, identify and implement innovative technologies that yield competitive advantage and managing large teams, big data, and the product life-cycle. It is a Flask-based application for analyzing the records of various employees across a department for the attendance and the correct allocation of the project and the time charged by them on the portal provided to them. The integration of email automation into the reports increased the productivity of the user by four hours a day. Used Python for this project. Reducing the time and complexity earlier occupied by eliminating the manual analysis done by various practitioners on other tools such as excel and providing a UI for the same along with sending an email to the relevant stakeholders.

• Python Developer · FlixStock2020-07-01 – 2021-03-01

  • Development of scheduler based automated generated reports for editor work analysis. • Reducing alert resolution time significantly by 92% by removing bugs and instability. • Mentored 2 employee for management of the process. Responsible for managing smooth functioning of the pipeline for the transformation of the image to 3d model through deep learning models. Python is the primary platform to manage the pipeline. Used MySQL, NoSQL, Git for this project. Developing scheduler-based automated generated reports for editor work analysis. The smooth functioning of the pipeline with a reduction in the manual efforts using the deep learning model to perform operational hours and increased productivity. Personalized based pipeline for all merchandise and efforts. Reducing alert resolution time significantly by 92% by removing bugs and instability.

• Software Development - Consultant · ZIGRAM2020-02-01 – 2020-04-01

  • Adjusted software parameters to boost performance and incorporate new features • Contributed to master codebase for CRB Monitor Worked closely with clients to establish problem specifications and system designs. Project at Zigram Data Adjusted software parameters to boost performance and incorporate new features. Contributed to the master codebase for CRB Monitor Worked closely with clients to establish problem specifications and system designs. Mentored two interns under me for a period of two months. Used Selenium as a tool to scrape data from Dynamic web pages. The web driver was controlled by Python as the language to program the business logic. Automate weekly listing for periodic data manipulation. Refactored the codebase for an efficient and robust listing process. Feature advancement along with resource management at a senior level. • Mentored 2 interns under me for a period of 2 months. • Automate weekly listing for periodic data manipulation. • Refactored code base for efficient and robust listing process.

• Python Developer · ZIGRAM2019-08-01 – 2020-02-01

  Adjusted software parameters to boost performance and incorporate new features Contributed to master codebase used in automated deployment of software in CRB Monitor Worked closely with clients to establish problem specifications and system designs

Education

• Vivekananda Institute of Professional StudiesComputer, Computer
• St.Columba's School, New DelhiClass 12, Commerce
• St.Columba's School, New DelhiClass 10
• Hampton Court Mussoorie

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