BA in AI | Engineer | 4+ years in Data, ML & Database Management | Turning data into insights 🚀
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Vrushank Dhande
Engineer
June 12, 2026 – Present
whatsapp-message-sender
May 9, 2026 – Present
Automated WhatsApp Message Sender built with Python and PyWhatKit. Easily send instant WhatsApp messages through WhatsApp Web with a clean, beginner-friendly implementation. Includes automation, error handling, and customizable messaging features.
View Projectvoice-bot-streamlit
May 5, 2026 – Present
🎤 AI Voice Bot built with Python & Streamlit that records voice from the browser, converts speech to text, generates chatbot responses, and replies with voice output using gTTS. A simple cloud-ready Speech-to-Text → AI Response → Text-to-Speech application.testing the file
View Projectvectorless-rag
April 9, 2026 – Present
Implements a vectorless RAG architecture using PageIndex APIs and Groq LLMs, enabling efficient document retrieval and response generation without traditional vector databases.
View ProjectF1-LangChain-App
March 21, 2026 – Present
A simple yet powerful Streamlit + LangChain + Groq LLM application that provides detailed insights about any Formula 1 team. This app chains multiple prompts together to generate structured and enriched information using LLMs.
View ProjectSentimental_Analysis
July 30, 2023 – August 15, 2023
The process of sentiment analysis utilizes natural language processing and machine learning methods to determine the emotional tone in a piece of text. This analysis categorizes sentiment as positive, negative, or neutral and is widely applied to comprehend people's opinions and emotions toward various subjects, products, services, or general text.
View ProjectBank-Behaviour-Scorecard-Master
September 18, 2022 – August 13, 2023
Provided Project Description: The bank has provided user's financial data and is requesting the creation of a predictive model. The goal is to develop a model capable of forecasting customers likely to default on their EMI payments. The project aims to assess the risk associated with transactions involving the transfer of credit amounts from bank
View ProjectAyurvedic-plant-Recognition-using-Yolov3
March 2, 2022 – August 12, 2023
This undertaking revolves around ayurvedic plants with medicinal applications. Given the abundant variety of plants in our environment, it's often challenging to discern their specific use cases. Consequently, I've developed an image recognition Machine Learning model that can accurately identify and categorize these plants.
View ProjectMovie-Recommendation-System-Using-Machine-Learning
November 15, 2021 – August 10, 2023
This project employs machine learning techniques, focusing on the Vectorizer method. It extracts and preprocesses data like actors, genres, movie names, ratings, and IDs, resulting in a refined movie.csv file. Hosted on Heroku, the project employs .git files. Converging machine learning, web development, and data management, this project details.
View ProjectCreate-the-Decision-Tree-classifier-and-visualize-it-graphically.
July 21, 2021 – August 1, 2023
Create-the-Decision-Tree-classifier-and-visualize-it-graphically. — GitHub repository
View ProjectFace-Recognition-Using-CNN
June 6, 2021 – August 30, 2023
In summary, I successfully completed a face recognition project using a high-accuracy CNN algorithm. The project involved recording videos, converting them to images, extracting faces, and storing them on Google Drive. To handle limited GPU access, I optimized the data and achieved an impressive accuracy of 0.9154.
View ProjectCultural Fit Analysis
The candidate's portfolio consists entirely of personal projects, primarily in Machine Learning and AI. This demonstrates initiative and a passion for the field. The diversity of ML applications (image recognition, NLP, predictive modeling, recommendation systems) suggests a broad interest within AI. However, without team-based project experience or explicit collaboration details, assessing cultural fit in a collaborative engineering environment is limited. The target role 'Engineer' is broad, and the candidate's focus on AI/ML aligns well with roles requiring these specific technical skills.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to conceptualize and execute personal projects, suggesting self-motivation and problem-solving skills. However, without specific psychometric or English test results, a comprehensive assessment of soft skills, logical reasoning, work attitude, stress handling, and team collaboration is not possible.