Srijan Gupta
Data Analyst
Summary
Dedicated pharmaceutical data scientist with a comprehensive understanding of the industry and one year of hands-on experience. Proven expertise in leveraging advanced analytics, statistical modeling, and machine learning to derive meaningful insights from diverse datasets, including clinical trials, patient data, and drug development information. Adept at optimizing processes and enhancing decision-making through data-driven approaches. Strong communicator and collaborator, committed to supporting advancements in drug discovery, patient care, and overall business strategies within the pharmaceutical sector. Passionate about contributing analytical skills to address complex challenges and drive innovation in the dynamic and critical field of healthcare.
Overview
5
5
years of professional experience
Work History
Data Analyst - Patient Data Governance & Analytics
Genpact Inc
New York
06.2022 - Current
- Engineered machine learning, deep learning, and statistical predictive models, yielding a 20% enhancement in medication adherence and an elevated overall patient experience, thereby demonstrating the impact of data-driven strategies on patient engagement.
- Analyzed diverse datasets using Exploratory Data Analysis (EDA) techniques, leading to a 25% increase in efficiency for data-driven decision-making. This approach uncovered actionable insights crucial for improving pharmaceutical processes.
- Applied statistical methodologies, including market mix modeling (MMX), test control analysis, A/B testing, and promo response models, resulting in a 30% improvement in data-informed business decision-making. This optimization contributed significantly to the effectiveness of omnichannel next-best actions.
- Successfully optimized marketing strategies, leading to operational cost savings of $210 million.
- Developed and implemented data governance policies and procedures, ensuring the integrity and quality of organizational data.
- Generated ad-hoc reports to address specific business requirements, providing timely and relevant insights for decision-making.
- Analyzed data to identify root causes of problems and recommended corrective actions, contributing to continuous improvement initiatives.
- Established effective collaboration with various stakeholders, fostering communication and synergy across the organization.
Data Engineering Intern
The Data Team
Chennai
02.2019 - 05.2019
- Developed APIs and data pipelines, along with a user-friendly frontend, to showcase the customer journey of a bank, resulting in a 50-user increase in the user base and positive feedback from 90% of existing customers
- Provided valuable advice to the client during the reporting phase, resulting in a 20% improvement in the overall user experience
- Optimized JSON formatted data processing and efficiently displayed the data on the UI, reducing 50% of bottlenecks
- Assisted in designing and building a scalable data architecture for the company's growing data needs, utilizing cloud services such as AWS S3, Redshift, and Glue
- Participated in code reviews and testing of ETL pipelines, ensuring adherence to coding standards and best practices.
Education
Master of Science in Business Analytics(Concentration in Data Science) -
University of Texas at Dallas, School of Management
Richardson, TXBachelor of Engineering in Computer Science - undefined
Vellore Institute of Technology
Skills
Tableauundefined
Websites
Organizations
- Microsoft Student Ambassador, Led a team of 5 people to spread awareness about Microsoft products around the campus.
- Founder & President - Code.exe UTD, Founded University's first Programming Student Organization to help novice students develop necessary analytical, management, and programming skills. Lead a team of 25 officers and conducted 20+ events for 1000+ UT Dallas students.
Projects
Big Data, Analyzed & Implemented a solution for Flights Delay / Cancellations due to weather events. Implemented on AWS EC2 cluster for processing 10+ gigabytes of big data. Provided graphical visualizations for business analysis & insights. Database Management, Designed ERDs and normalized tables to implement a library management system for using SQL functions. Machine Learning, Designed & Implemented a hyper-tuned ML algorithm to classify state of stray animals after going to a shelter. Walmart Retail Analysis, Analyzed Walmart sales over 45 stores for better inventory management during festivals / Super bowl. Spotify Song Recommendation App, Developed Spotify song recommender using Python & data engineering skills. Engineered 10000+ tracks using Spotify's web API. Implemented a classification algorithm with 99.5% accuracy to recommend new songs.
Timeline
Data Analyst - Patient Data Governance & Analytics
Genpact Inc
06.2022 - Current
Data Engineering Intern
The Data Team
02.2019 - 05.2019
Master of Science in Business Analytics(Concentration in Data Science) -
University of Texas at Dallas, School of Management
Bachelor of Engineering in Computer Science - undefined
Vellore Institute of Technology
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