Kishan Teli

Badges

Certifications

Certificate: Python (Basic)

skill

Work Experience

Business Analyst
Prime Healthcare• September 2021 - Present
- Initiated and managed a comprehensive project to extract XML data from a website API, transforming and organizing over 10,000 records in an SQL database. Presented insightful visualizations through a dynamic Qlik dashboard, leading to data-driven recommendations that increased nurse hiring rates by 15%, aligning with market standards - Engineered and deployed an efficient Service-Now ticketing system, utilizing workflow-based processes to systematically track and manage email correspondences within the incident system. This innovation reduced response time by 30%, enhancing collaboration between corporate teams and hospitals. The system generated and managed over 500 incident tickets, expediting the fulfillment of new job requirements in the Hallmark system - Developed a dynamic web tool using Node.js and EJS technologies, incorporating intuitive data visualizations and strategic data points. This resource significantly reduced purchase order processing time by 40%, optimizing the Purchase Order process for all stakeholders involved. The tool provided insights into $2M worth of purchase orders monthly - Orchestrated a high-performing team to create an automated data cleansing solution using Python, PySpark, SQL, and advanced Machine Learning models. The daily implementation improved data accuracy by 95% across requisition data, enhancing reporting reliability and operational efficiency - Led the development of a secure React website for requisition creation, reducing approval time by 50%. Implemented robust backend security aligned with company policies, integrated with Microsoft Azure for a company-wide login system serving 1,000+ users. Applied matrix-based strategies for improved efficiency and performance tracking. -
Data Science Intern
Shoptaki Inc.• June 2020 - August 2021
- Guided a team of 3 junior Python developers in crafting and implementing a sophisticated AI architecture. This architecture empowered the Smart-Chain platform to analyze risk, identify fraud, and conduct real-time financial analysis. Employed machine learning models to carefully train and validate data flows between chains, optimizing system performance and accuracy. - Improved biometric security measures by leading the training of deep learning neural networks. These networks proficiently detect and classify live and imposter face images, resulting in highly effective liveness detection methods that strengthened biometric security protocols. - Applied proficiency in Python and R Studio to conduct preprocessing and thorough exploratory data analysis on an extensive dataset of approximately 1 million health records. This meticulous analysis revealed valuable insights and paved the way for data-driven decision-making in the healthcare domain. - Skillfully utilized a diverse range of technologies, including Python, JavaScript, and Django, along with Machine Learning models, HAPI-FHIR, and GQL. These technologies played a key role in driving innovation, efficiency, and robustness across various projects and platforms. Implemented matrices for tracking and assessing project performance.