Prakhar Dwivedi

Data Science

https://www.opentalent.in/prakhar-dwivedi-7303913

Data Science with less than a year in AI, Machine Learning & Deep Learning

Key Strengths

Strong foundational knowledge in AI, Machine Learning, and Deep Learning, as evidenced by diverse projects.
Proficiency in Python and key data science libraries (Pandas, NumPy, TensorFlow, PyTorch, Scikit-learn).
Experience with Generative AI, LLMs, and Agentic AI (LangChain, n8n, Hugging Face, Gemini API).
Demonstrated ability to build end-to-end ML pipelines and deploy interactive applications using Streamlit.
Practical experience in image processing (CNNs, Stable Diffusion) and natural language processing (sentiment analysis, LLMs).
Active participation in open-source contributions, showcasing initiative and practical application of skills.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's project portfolio shows a strong alignment with modern data science trends, particularly in AI, Generative AI, and MLOps (deployment with Streamlit). The diversity of projects, from multimodal chatbots to image generation and classification, indicates a broad interest and willingness to explore different domains within data science. The open-source contributions further highlight a collaborative spirit and a desire to share knowledge, which are positive indicators for cultural fit in a growth-oriented, innovative environment. The candidate's enthusiasm for continuous learning, as shown by multiple certifications, also aligns well with a culture of innovation and skill development.

Soft Skills & Operational Fit

The candidate demonstrates strong initiative and a proactive learning attitude through self-directed projects and open-source contributions. The ability to build end-to-end applications with interactive UIs (Streamlit) suggests good problem-solving and user-centric design thinking. The focus on automation and efficiency in projects like 'Smart Query Routing System' indicates an operational mindset. However, with limited formal work experience, the candidate's ability to navigate complex team dynamics, handle project management, or adapt to corporate operational structures is yet to be fully demonstrated.

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Projects

AI Powered Multimodal Chatbot Using Gemini

June 23, 2026 – Present

Built a lightweight multimodal application enabling both text-based conversations and AI-generated images using Google Gemini API. Designed an interactive interface where users enter text prompts and instantly receive high-quality generated images. Implemented clean, single-file architecture (app.py) handling prompt processing, model inference, and output rendering. Ensured smooth user experience by optimizing request handling, error control, and multimodal response generation.

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Stable Diffusion-Powered Image Generation App (Python + Streamlit)

June 23, 2026 – Present

Built a Streamlit-powered Text-to-Image Generator using Stable Diffusion v1.5 to convert natural language prompts into high-quality AI-generated images. Implemented adjustable generation settings including guidance scale, inference steps, and display width for user-controlled outputs. Developed a gallery feature to save, display, and manage previously generated images for easy access and reuse. Designed a clean, responsive UI using Streamlit, providing an intuitive and interactive user experience for generating and downloading images.

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Pneumonia Detection from Chest X-rays image using (CNN)

June 23, 2026 – Present

Developed a CNN-based model to classify chest X-ray images into Normal and Pneumonia categories for early detection. Performed image preprocessing and augmentation (resizing, normalization, rotation, flipping) to improve model performance. Implemented Grad-CAM visualization for model explainability, highlighting critical regions in X-ray images. Built a Streamlit web app for real-time, interactive predictions with user-uploaded chest X-ray images.

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Wine Quality Prediction Using Python and Scikit learn

June 23, 2026 – Present

Developed an end-to-end machine learning pipeline to predict wine quality using physicochemical features such as alcohol, density, and acidity. Performed exploratory data analysis, preprocessing, and feature engineering to improve model performance and reliability. Trained and optimized multiple ML models, selecting the best-performing one for accurate quality prediction. Built an interactive Streamlit app to allow users to input wine characteristics and receive real-time quality predictions.

View Project

Agentic Based APP/GAME Generator

December 1, 2025 – December 31, 2025

Built an AI-driven App/Game Generator using Streamlit + n8n that converts user prompts into fully functional apps or Python games with real-time execution. Implemented automatic code generation, file creation, and app/game detection to streamline end-to-end deployment. Optimized user experience with a clean Streamlit interface, enabling seamless prompt input and instant app/game launch.

Agentic Based Presentation Generator

November 1, 2025 – November 30, 2025

Developed an automated PPT generator using Streamlit, n8n, and python-pptx to create complete slide decks from a single user prompt. Integrated LLM workflows to generate structured slide content, themes, and layouts with instant .pptx download. Enhanced presentation quality by implementing dynamic slide formatting, color themes, and automated content organization.

Smart Query Routing System

November 1, 2025 – November 30, 2025

Automated student query classification using sentiment analysis and LLMs to assign issues to correct departments. Designed an n8n workflow that pulls form data, detects urgency, classifies category, and sends emails to respective HODs. Improved operational efficiency by reducing manual query handling and ensuring timely responses to students.

Certifications

Data Science Course Completion

Innomatics Research Labs

August 23, 2025 – Present

Advanced Data Science with Python Gold Badge

NASSCOM Future Skills Prime

April 9, 2025 – Present

AI Basics For Beginners

HP LIFE (AI BASICS)

April 5, 2025 – Present

Master in Data Management For Beginners

TCS-iOn (DATA MANAGEMENT)

April 5, 2025 – Present

Key Strengths

Strong foundational knowledge in AI, Machine Learning, and Deep Learning, as evidenced by diverse projects.
Proficiency in Python and key data science libraries (Pandas, NumPy, TensorFlow, PyTorch, Scikit-learn).
Experience with Generative AI, LLMs, and Agentic AI (LangChain, n8n, Hugging Face, Gemini API).
Demonstrated ability to build end-to-end ML pipelines and deploy interactive applications using Streamlit.
Practical experience in image processing (CNNs, Stable Diffusion) and natural language processing (sentiment analysis, LLMs).
Active participation in open-source contributions, showcasing initiative and practical application of skills.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Prakhar Dwivedi

Key Strengths

Cultural & Operational Fit

About

Top Skills

Skills

Education

Experience

Projects

Certifications

Key Strengths

Cultural & Operational Fit