Apr 2025 – Jun 2025 · 2 mos · Gurugram, Haryana, India · On-site

Apr 2024 – May 2025 · 1 yr 1 mo · New Delhi, Delhi, India · On-site

• Design, develop, and implement machine learning models for cancer detection using histopathology images.
• Develop software solutions for the diagnostic device, ensuring seamless integration with AI models.
• Research and apply the latest advancements in computer vision and deep learning to improve diagnostic accuracy.
• Create and optimize algorithms for histopathology image stitching, ensuring high-quality image reconstruction.
• Collaborate with cross-functional teams including biomedical engineers, data scientists, and medical professionals to gather requirements and validate solutions.
• Preprocess and analyze large-scale medical imaging datasets to train and evaluate AI models.
• Perform model evaluation, validation, and fine-tuning to meet regulatory and clinical standards.
• Document the development process, including algorithms, models, and software components.
• Stay updated with the latest research and developments in AI, machine learning, and medical imaging.

Jul 2023 – Apr 2024 · 9 mos · Noida, Uttar Pradesh, India · Hybrid

• Utilize strong analytical and technical skills to support the WPP Project Management Office (PMO) at Kyndryl Solutions Private Limited. My responsibilities encompass project management tasks, data analysis, and creating insightful Power BI dashboards to enhance project visibility and decision-making.
• Maintain project documentation, including schedules, resource allocation plans, and risk registers.
• Track project progress, identify and mitigate potential issues, and escalate concerns to stakeholders as needed.
• Generate project reports and dashboards summarizing key performance indicators (KPIs) and project health.
• Collaborated with business teams to understand data needs, define key performance indicators (KPIs), and identify data sources.
• Extracted, cleaned, and transformed data from various sources using Python libraries like Pandas and NumPy.
• Performed exploratory data analysis (EDA) and statistical modeling using Python libraries like Scikit-learn and Matplotlib to uncover trends, patterns, and relationships.
• Developed and implemented data pipelines and automation scripts using Python to streamline data analysis processes.
• Designed and created interactive dashboards and reports using Power BI to communicate insights and facilitate data-driven decision-making.
• Presented findings and recommendations to stakeholders in a clear, concise, and visually appealing manner.

May 2023 – Jul 2023 · 2 mos · New Delhi, Delhi, India · On-site

• Developed and deployed user-friendly data collection websites for the Indian Council of Medical Research (ICMR) utilizing Python and the Django framework. Contributed to all stages of the development lifecycle, from requirement analysis and design to implementation and testing, ensuring the websites effectively capture and manage research data.
• Collaborated with designers and project managers to understand data collection needs and translate them into functional website designs.
• Developed back-end logic using Python and the Django framework to handle data collection, storage, and validation.
• Designed and implemented user interfaces using HTML, CSS, and JavaScript to ensure a seamless and intuitive user experience.
• Integrated with external APIs for functionalities like user authentication and data processing (if applicable).
• Conducted unit and integration testing to ensure code functionality and website stability.
• Deployed websites to a production environment and monitored performance metrics.

Jan 2023 – May 2023 · 4 mos · On-site

May 2022 – Jul 2022 · 2 mos · New Delhi, Delhi, India

• Developed an acceleromyograph, a medical device, as part of an internship at the esteemed Indian Institute of Technology Delhi. Leveraged embedded systems principles, C programming, Arduino development platform, and microcontrollers to create a functional prototype. Gained valuable experience in the field of the Internet of Things (IoT) and its applications in healthcare technology.
• Collaborated with faculty and researchers to design and develop an acceleromyograph prototype, adhering to ethical and safety protocols for medical devices.
• Programmed microcontrollers using embedded C and Arduino IDE to acquire data from sensors and control the device's functionality.
• Designed and implemented communication protocols (if applicable) for data transmission, ensuring secure and reliable communication.
• Conducted rigorous testing and verification of hardware components and software functionalities to guarantee the device's accuracy and reliability.
• Documented development progress, maintaining clear and concise technical records for future reference.

Jan 2022 – Apr 2022 · 3 mos

• I Interned as a teacher at Udyam Trust, where I taught English to a student in online mode.

Aug 2021 – Jul 2022 · 11 mos · New Delhi, Delhi, India

Jun 2021 – Aug 2021 · 2 mos · New Delhi, Delhi, India

• Supported the Consulting practice at Ernst & Young LLP by leveraging data analysis skills to extract insights and inform strategic decision-making. Utilized Python for data manipulation and
• analysis, and Power BI for creating impactful data visualizations and dashboards.
• Collaborated with senior consultants to understand client needs and define data analysis objectives.
• Gathered data from various sources, including internal databases, external datasets, and
• client-provided information.
• Cleaned, transformed, and prepared data using Python libraries like Pandas and NumPy.
• Conducted exploratory data analysis (EDA) and statistical modeling using Python libraries like Scikit-learn and Matplotlib to identify trends, patterns, and relationships in the data.
• Translated data findings into actionable insights and recommendations aligned with client business objectives.
• Developed interactive dashboards and reports using Power BI to effectively communicate insights to diverse stakeholders.
• Presented findings and recommendations to clients and internal teams in a clear, concise, and visually compelling manner.