Headline

Data Scientist Agents | AutoGen | Langchain I langGraph | GenAI | LLM | NLP | Prompt Engineering | Machine Learning | Deep Learning | Data Science | Python | SQL | PowerBI | Azure

About

Hey there! I’m Ankit Sanjay Johari — a data enthusiast with a Bachelor's in Pharmacy and a deep curiosity for how numbers tell stories. While my journey began in healthcare, I quickly discovered that my true calling lies in data — analyzing it, understanding patterns, and driving actionable insights. That curiosity led me to pursue an Executive Post Graduate Certification in Data Science & AI from IIT Roorkee, where I built a strong foundation in Python, SQL, machine learning, and deep learning. I’ve worked on projects that span across industries — from optimizing the supply chain for BigBasket using analytics, to predicting diabetes using SVM, creating a Netflix-style movie recommendation engine, and forecasting air passenger demand with ARIMA and SARIMAX. I also got my hands dirty in customer behavior analysis with Blinkit and improved object detection models using RCNN. My toolbelt includes Python (NumPy, Pandas, Seaborn, Plotly), SQL, Excel dashboards, Scikit-learn, TensorFlow, Keras, and Power BI — with a strong grip on data wrangling, visualization, and model deployment. I’m also exploring the magic of NLP and LLMs, making sense of unstructured text like a pro. Right now, I’m actively looking for entry-level opportunities as a Data Scientist where I can combine my pharmaceutical background and tech skills to solve real-world problems, especially in healthcare, e-commerce, and consumer data. When I’m not knee-deep in code or dashboards, you’ll find me on the cricket pitch, reading thrillers, or having long (and probably biased) debates about Kabaddi strategies. Let’s connect and explore how we can build smarter, data-driven solutions together!

Location

Ahmedabad

Work experience

Data Scientist at GetOnData Solutions, Oct 2025 - Present · 10 mos, Ahemdabad, • Developed HealthVisionPro, an AI-powered web application that uses LLM-based retrieval to analyze medical reports and deliver patient-friendly insights through a privacy-aware chat interface, built with LangChain and Streamlit. • Built sales forecasting system using prophet models achieving 92% prediction accuracy, enabling data-driven business intelligence and demand planning through interactive Power BI dashboards.

AI Intern at RandomTrees, Jul 2025 - Oct 2025 · 4 mos, Chennai, Tamil Nadu, India, Currently working as a Data Scientist Intern at RandomTrees, Chennai. My work revolves around building intelligent agents using Agentic AI concepts — focusing on creating autonomous workflows and smart decision-making systems. Tech Stack & Responsibilities: Developing and deploying APIs with FastAPI for smooth communication between components. Leveraging Azure Cloud for scalable deployment and model integration.Collaborating on agent-based AI systems to automate complex, data-driven tasks.Continuously experimenting with cutting-edge tools in the AI ecosystem.This internship is helping me bridge the gap between theoretical ML knowledge and real-world, production-grade AI systems with a whole lot of FastAPI and coffee involved Grateful for the hands-on experience with next-gen AI tech!

Artificial Intelligence Intern at RandomTrees, Jul 2025 - Oct 2025 · 4 mos, • Built AI-powered multi-agent systems using AutoGen and LangChain for autonomous workflow automation, enabling complex task orchestration and intelligent decision-making across distributed agents. • Designed and deployed RESTful APIs using FastAPI for user feedback processing and real-time agent communication, improving system responsiveness by 50%. • Enhanced agent capabilities using Retrieval-Augmented Generation (RAG) with FAISS VectorDB and PostgreSQL, achieving 85% accuracy in context-aware responses. • Developed PDF Synonym Extractor tool using NLP techniques, improving document processing efficiency by 40% and reducing manual effort in data extraction workflows.

Data scientist intern at Intellipaat, Jan 2025 - Jun 2025 · 6 mos, Remote

Fresher at Intellipaat, Jan 2024 - Jun 2025 · 1 yr 6 mos, Pune, Maharashtra, India, As an aspiring data sciencist, I’ve worked on multiple end-to-end data science projects that involved cleaning, analyzing, and visualizing data, as well as building predictive models to solve real-world problems. Key Projects: Supply Chain Optimization – BigBasket Analyzed supply chain data to identify delays and inefficiencies. Built dashboards and provided insights to improve delivery time and reduce cost. Diabetes Prediction using SVM Built a machine learning model using Support Vector Machines to predict the likelihood of diabetes. Performed data preprocessing, feature selection, and model tuning. Netflix Recommendation Engine Developed a content-based recommendation engine using movie metadata to suggest personalized content. Time Series Forecasting – Airline Passenger Data Used ARIMA and SARIMAX models to forecast monthly airline passenger demand. Focused on trend and seasonality components to improve accuracy. Tools & Tech: Python (Pandas, Numpy, Matplotlib, Seaborn, Plotly), SQL, Excel, Scikit-learn, TensorFlow, Power BI, Machine Learning, Deep Learning, NLP, RCNN, ARIMA

Education

Master's degree, Data science And Artificial intelligence, Executive post graduation in data science and AI IIT ROORKEE and Intellipaat

St. Mary's College of Pharmacy