Data Analyst
Hey there! I'm Manthan Jadav, a Computer Science graduate who loves turning raw data and real-world problems into intelligent, scalable solutions. I work across AI, ML, Data Analytics, & Automation building everything from predictive models & computer vision systems to interactive dashboards & production-ready APIs. I enjoy simplifying complex ideas, creating clean & reliable workflows, and delivering measurable impact through technology. Curious by nature and driven by problem-solving, I’m always exploring new tools, improving my craft, & building solutions that are practical, efficient, & user-friendly.
AI Skills
ML Skills
Data & BI Skills
Built AI systems including a high-accuracy face recognition pipeline & a smart chatbot that reduced manual intervention by 90%. Contributed to Agile sprint delivery & collaborated across teams for on-time project execution.
Automated API-based ETL pipelines using Python, cutting manual processing by 40–90%. Created business dashboards in Power BI and Streamlit to enable instant insights and faster decision-making.
Worked on backend development using Python and Django, focusing on clean APIs, data handling, and scalable web application logic. Contributed to internal tools and automation workflows.
Developed automated web-scraping scripts to collect, clean, and structure large-scale data efficiently. Improved data extraction workflows with Python, BeautifulSoup, and automation techniques.
Graduated with strong fundamentals in computer science, algorithms, and data structures. Specialized in AI/ML and software development with hands-on projects in data analysis and web applications.
Completed Higher Secondary with focus on Science Maths stream. Developed strong analytical and problem-solving skills that laid the foundation for pursuing engineering.
Completed secondary education with a balanced curriculum covering academics, sports, and co-curricular activities. Developed leadership skills and academic excellence.
From designing predictive models to deploying AI systems, I develop solutions for real-world problems such as disease diagnosis, recommendation systems, and trend prediction. I handle data preprocessing, model building, and deployment for actionable, automated insights.
Learn MoreI help businesses and individuals make data-driven decisions by analyzing and visualizing data through interactive dashboards, reports, and insights. Tools include Power BI, Excel, and Streamlit to convert raw data into meaningful, actionable intelligence.
Learn MoreDesigning intelligent chatbots for customer support, food ordering, FAQs, or virtual assistants. These bots, built with Dialogflow or custom NLP models, improve engagement, reduce manual effort, and operate 24/7 across web or messaging platforms.
Learn MoreImplement CV solutions for face detection, object recognition, and image-based analytics. Applications include healthcare imaging, automated quality checks, and intelligent visual detection systems using OpenCV, Python, and deep learning models.
Learn MoreAutomate repetitive tasks and business workflows using AI, Python scripts, or custom automation pipelines. From resume parsing to document summarization or predictive analytics pipelines, I create systems that save time and enhance operational efficiency.
Learn MoreBuild intelligent recommendation systems for books, movies, restaurants, or products. Using collaborative filtering, content-based filtering, and hybrid models, I deliver personalized suggestions to enhance user experience and engagement.
Learn MoreAll
ML
Dashboard
Chatbot
Advanced AI
🔬 Take charge of your health with this ML-powered Disease Diagnosis Web App!
From smart predictions (Diabetes, Heart, Cancer, Viral) to chatbot advice and lifestyle tips
it’s your personal health buddy with a sleek UI and AI brains with smart healthy diet plan,
all built with Flask and open-source love!
This project is my final year project in college. I developed and deployed a Dialogflow-based chatbot to automate 90% of customer interactions for an online food delivery service, reducing support workload and increasing order completions by 30% through data-driven response optimization.
An AI-powered smart food discovery app that provides personalized restaurant recommendations based on cuisine, location, ratings, and user preferences. Built with Streamlit and collaborative filtering, it helps users discover trending, highly-rated, and tailored dining options effortlessly.
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