Intro
I am a data-driven professional passionate about leveraging analytics, machine learning, and AI to drive impactful business decisions. Currently working as an Analyst at Eli Lilly and Company, I focus on developing scalable BI & analytics products that enhance patient outcomes and business impact.
With a Data Science and Engineering background from the Manipal Institute of Technology, I bring a blend of technical expertise and real-world problem-solving skills. My experience spans machine learning, data analytics, big data technologies, and AI-driven automation.
💡 What I Do:
Build Scalable BI & Analytics Products → Standardizing tools and frameworks that drive efficiency across therapeutic areas.
Deliver Data-Driven Insights → Supporting business queries, audience targeting, and analytics through actionable dashboards and reports.
Innovate with AI & Technology → Exploring AI technologies, enhancing automation, and simplifying workflows with tools like Jira, GitHub, and VectorDBs.
Optimize Product Development → Ensuring alignment with top priorities and fostering cross-functional collaboration for faster decision-making.
🚀 Previous Experience & Projects:
Machine Learning Intern at Fundinc → Fine-tuned Large Language Models (LLMs) like ChatGPT & LLaMA to develop an Embedded OpenAI GPT ChatBot with enhanced knowledge retrieval using VectorDB.
Teaching Assistant at MIT → Guided MCA students in DBMS labs, fostering a deeper understanding of data systems.
AI & Analytics Projects → Developed an AI Tutor using GPT-3.5, a Gender & Age Detection model with deep learning, and a Carbon Emission Calculator promoting sustainability.
🔧 Technical Skills:
Programming → Python
Web Development & Database → MySQL, HTML, CSS, Flask, FastAPI
Analytics & Visualization → Power BI, GitHub, Jira
Machine Learning & AI → LLMs, Deep Learning, Model Deployment
📢 Beyond Work:
As a former Graphics Head at The MIT Editorial Board and an organizer for cultural fests, I thrive in collaborative, high-impact environments. I'm always eager to explore new technologies, solve challenging problems, and drive data-centric innovation. Let’s connect and discuss how data, AI, and technology can shape the future of healthcare and beyond!
Experience
Associate BI&A - Analytics Product
Eli Lilly and Company
Bengaluru
- Develop scalable BI Analytics Products that support multiple therapeutic areas.
- Deliver actionable insights through dashboards and analytics solutions to drive patient and business impact.
- Investigate and implement AI-driven solutions to enhance automation, productivity, and efficiency.
- Utilize Jira/GitHub for project tracking and prioritization across BI&A teams.
- Foster cross-functional collaboration to align analytics products with business needs.
- Ensure scalability and standardization in product development for broader organizational impact.
- Establish feedback loops for continuous improvement and optimization of analytics solutions.
Skills:
Data Analytics, Python, PostgreSQL, PowerBI, Generative AI, Project Management, GitHub, Jira
Mar 2025 - Present
Associate BI&A - Neuroscience
Eli Lilly and Company
Bengaluru
- Enhanced standardization across teams and increased efficiency of manual processes, streamlining operations and boosting overall productivity.
- Designed and developed a dashboard that automated and reduced time consumption of a previously manual process by 85% earning recognition with an award in the Deliver category at the company town hall.
- Built an intuitive web application that dynamically processes user input and generates cumulative data visualizations across multiple categories and products, empowering users with actionable insights for their analysis.
- Deployed multiple chatbots with embedded knowledge bases tailored to specific therapeutic areas.
Skills:
Data Analytics, Python, PostgreSQL, PowerBI, Generative AI, ChatBots
July 2024 - Feb 2025
Intern BI&A - Immunology
Eli Lilly and Company
Bengaluru
- Categorized HCPs using advanced segmentation techniques for targeted marketing strategies, significantly improving engagement metrics.
- Implemented fuzzy matching algorithms to consolidate disparate data sources, enhancing data consistency and reliability.
- Developed parameterized Python queries and Tableau dashboards for real-time data insights and strategic decision-making.
- Conducted comprehensive data maturity analysis to ensure data quality and reliability, supporting accurate and trustworthy analytics.
Skills:
Data Analytics, Python, SQL, PowerBI
Jan 2024 - July 2024
Machine Learning Intern
Fundinc
Manipal
- Leveraged cutting-edge Large Language Models (LLMs) like ChatGPT and Llama within Artificial Intelligence.
- Conducted fine-tuning of these advanced LLMs, developing an Embedded OpenAI GPT ChatBot. This innovative ChatBot effectively utilizes user-uploaded files to provide comprehensive responses to user queries.
- Pioneered the implementation of a VectorDB, significantly enhancing the knowledge base and capabilities of the GPT-powered system.
Skills:
Large Language Models, ChatGPT, Artificial Intelligence, Python, Generative AI
Oct 2023 - Dec 2023
Teaching Assitant
Manipal Institute of Technology
Manipal
- Assisting MCA 1st-year students with their DBMS lab, providing guidance, and supporting MySQL skill development.
Skills:
DBMS, MySQL, PL/SQL
Sep 2023 - Nov 2023
Technical Writing Intern
OpenWeaver
Remote
- Developed clear and concise technical documentation, user guides, and tutorials to facilitate understanding of different libraries in various languages.
- Conducted in-depth research on complex technical topics, ensuring accurate and up-to-date information for documentation purposes.
Skills:
Technical Writing, Research and Analysis, Information Synthesis
Feb 2023 - Oct 2023
Data Analytics Intern
Inspira Enterprises
Ranchi
- Performed advanced data analysis: Utilized Python and data manipulation techniques to collect, clean, and conduct extensive exploratory data analysis on diverse datasets. Identified meaningful patterns, trends, and insights, driving data-driven business decisions and contributing to the company's growth.
- Developed a robust web portal for CSIS: Collaborated with CMPDIL (Under the Ministry of Coal) to create an efficient web portal for data management within the coal industry. Implemented data visualization tools to facilitate easy interpretation of complex information, enabling stakeholders to make informed decisions promptly.
- Created Python-based Payroll Comparison Tool: Designed and implemented a data analysis tool using Python, empowering the payroll review process with automated data processing and insightful visualizations, leading to enhanced accuracy and efficiency.
Skills:
Python, SAS Enterprise Miner, SAS Text Analytics, SAS Visual Analytics, HTML, CSS, JS
Jun 2023 - Jul 2023
Marketing Intern
Podeum
Remote
- Within the startup ecosystem, I led a strategic marketing outreach campaign, effectively expanding our customer base and nurturing conversions into loyal members.
Skills:
Marketing, Customer Outreach
Dec 2022 - Jan 2023
Big Data Intern
CMPDI, GOI
Ranchi
- Conducted text mining and analytics using SAS Enterprise Miner: Analyzed safety issues and accident data from various coal fields and mines, leveraging SAS Enterprise Miner to uncover crucial insights. Developed predictive models to forecast potential safety concerns, contributing to proactive risk management strategies.
Skills:
SAS Enterprise Miner, SAS Text Analytics, SAS Visual Analytics, Python
Dec 2022 - Jan 2023
Developer Relations Intern
OpenWeaver
Remote
- Worked on marketing outreach initiatives within the developer community. Built presence and promoted awareness of kandi on discussion forums
Skills:
Marketing, Creativity, Social Media Marketing, Writing
Sep 2022 - Nov 2022
Projects
AI Tutor
AI Tutor is a Python script that harnesses the power of OpenAI's GPT-3.5 language model to deliver automated tutoring on various machine learning topics. This script generates questions, provides detailed explanations, and allows users to learn interactively.
Apr 2023 - Sep 2023
Gender and Age Detection
To identify the gender into binary categories, male and female using facial features such as skin tone, wrinkles, etc, and to classify their age based on similar features. The baseline model was set as CNN and multiple models were implemented such as CNN with Skip Connections, ResNet, AlexNet, VGGNet, InceptionV3. CNN with Skip Connections achieved the best accuracy of 87.56.
Oct 2022 - Dec 2022
Carbon Emission Calculator
Calculates the total CO2 emission of a household using functions made in JavaScript and suggests changes to be made to reduce the emission if the calculated values pass a certain threshold.
Aug 2022
Anime Recommender System
Developed an Anime Recommender System using Cosine Similarity, KNN, and Association Rules, leveraging user preference data and ratings from a dataset of 73,516 users and 12,294 anime, aimed at improving the accuracy and effectiveness of anime recommendations for users based on their viewing history.
May 2022 - Jun 2022
Movie Recommender System
The Movie Recommender System is a Python-based project that utilizes K-Nearest Neighbors algorithm to provide personalized movie recommendations to users based on their input.
May 2022 - Jun 2022
Anti-Suicide Chat Bot
A chat bot which talks to people and replies to them based on a set of predefined responses related to suicidal thoughts. The algorithm is using a neural network of 16 neurons to predict the right output based on the input in the intents.json file.
Jul 2021 - Aug 2021