Headline

Decision Science Intern at Mu Sigma Inc. | Reliance Foundation UG Scholar | Ex PR and Marketing Head @Media Club

About

Computer Science graduate with an ability to design, develop, and deploy scalable software solutions. Demonstrated expertise in Python AI-driven application design. Successfully built the applications including an intelligent healthcare advisory platform leveraging Large Language Models. Strong foundation in core computer science fundamentals: DBMS, Operating Systems, Computer Networks, and Object-Oriented Programming. PwC-certified in Cybersecurity and NPTEL Certified in Software Conceptual Design with validated technical skills. Successfully completed the IBM Data Analytics certification offered through the ICT Academy, gaining practical knowledge of data analysis, data visualization, statistical concepts, and business insights using industry-relevant tools and techniques. Proven leadership capabilities through strategic PR & Marketing role managing high-visibility initiatives. I am currently working as a Decision Science Intern at Mu Sigma, where I am gaining hands-on experience in solving real-world business problems through data-driven decision making.

Location

Greater Indore Area

AI stack

claude

cursor

github copilot

langchain

notebooklm

openai

Work experience

Decision Science Intern at Mu Sigma Inc., Jun 2026 - Present · 3 mo, Bengaluru, Working within Mu Sigma's Decision Science practice, building the analytical foundation to turn business problems into data-backed decisions. These are the phases of the training- 𝗣𝗵𝗮𝘀𝗲 𝟬 — 𝗜𝗻𝗱𝘂𝘀𝘁𝗿𝘆 𝗥𝗲𝘀𝗲𝗮𝗿𝗰𝗵 Researched the business models of global pharma leaders like BMS(Bristol Myers Squibb) mainly along with AbbVie and Johnson & Johnson Presented findings to SPOCs, building a foundational understanding of how analytics problems are framed in the pharmaceutical industry 𝗣𝗵𝗮𝘀𝗲 𝟭 — 𝗧𝗲𝗰𝗵𝗻𝗶𝗰𝗮𝗹 𝗧𝗿𝗮𝗶𝗻𝗶𝗻𝗴 & 𝗖𝗹𝗶𝗲𝗻𝘁 𝗣𝗿𝗼𝗷𝗲𝗰𝘁 (𝗕𝗠𝗦) Strengthening core decision science skills across Python (with its key libraries), SQL, Excel, Git, Probability & Statistics, and AI fundamentals Assigned to a live analytics project for Bristol Myers Squibb, applying Mu Sigma's problem solving frameworks: muPDNA for structured problem definition and muOBI to align stakeholders on outcomes, behaviors, and insights Conducting exploratory data analysis (EDA) on BMS's historical sales data to uncover patterns and trends Translating analysis into actionable insights aimed at improving drug sales performance

Education

Bachelor of Technology - BTech, Computer Science, Medicaps university

12th, PCM, Boonson H.S School