0+ Project complete
I am a highly motivated AI Engineer, Machine Learning Engineer, and Data Scientist, committed to solving complex challenges through innovative technology. With hands-on experience at Rubixe - AI Solutions, I have developed expertise in Computer Vision, NLP, Deep Learning, and Data Analytics. I am passionate about leveraging AI solutions to drive business impact, continuously exploring the latest advancements in the tech industry.
0+ Project complete
Focused on deep learning, NLP, and advanced AI techniques through practical training and industry-relevant projects.
Undergoing intensive training in data science, machine learning, and AI with hands-on projects and real-world case studies.
Studied core IT concepts, programming, and networking during a 3-year diploma at GTU.
Completed secondary education with emphasis on core academic subjects under the GSEB curriculum.
Successfully completed an advanced AI program focused on core concepts of artificial intelligence including machine learning, deep learning, computer vision, and natural language processing. Gained practical experience in developing AI models and integrating them into real-world applications. The certification, issued by NASSCOM, validates industry-ready AI engineering capabilities aligned with India’s national skill development goals.
Earned the Artificial Intelligence Expert certification from the International Association of Business Analytics Certification (IABAC), demonstrating advanced proficiency in AI methodologies, machine learning, deep learning, and intelligent systems. This credential validates practical expertise in designing, training, and deploying AI models for real-world problem solving and business innovation.
Completed the Data Science Foundation certification by the International Association of Business Analytics Certification (IABAC), covering essential concepts in data analysis, statistics, data visualization, and machine learning. This program provided a solid grounding in the data science lifecycle, tools, and techniques required to extract actionable insights from structured and unstructured data.
Achieved the Certified Data Scientist credential jointly issued by IABAC and NASSCOM, demonstrating proficiency in end-to-end data science workflows including data preprocessing, exploratory analysis, statistical modeling, machine learning, and deployment. This certification emphasizes practical, industry-aligned skills essential for building data-driven solutions across various domains.
Completed an intensive Certified Data Scientist program at Datamites, covering core competencies in data science, machine learning, AI, statistics, data preprocessing, and model deployment. The course emphasized hands-on projects and real-world case studies to build industry-ready expertise in developing and implementing data-driven solutions.
Completed a Data Scientist internship at Rubixe, an AI-driven company, where I applied machine learning and data science techniques to solve real-world problems. Gained practical experience in data preprocessing, model development, and performance optimization while contributing to AI projects focused on predictive analytics, natural language processing, and business intelligence.
Completed the Career Essentials in Data Analysis course offered by Microsoft and LinkedIn, focusing on foundational data skills including data cleaning, analysis, visualization, and interpretation using tools such as Excel, Power BI, and SQL. Developed practical knowledge to support data-driven decision-making in business environments.
Completed the Career Essentials in Generative AI course by Microsoft and LinkedIn, gaining foundational knowledge of generative AI technologies including large language models, prompt engineering, and responsible AI practices. Explored real-world applications and the transformative potential of generative AI across industries.
Completed a specialized certification on Prompt Engineering for Generative AI Models from IABAC, focusing on crafting effective prompts to optimize responses from large language models (LLMs). Gained hands-on experience with prompt design strategies, model behavior tuning, and real-world applications of GenAI in business and technology.
AI & Automation Workflows - Powered by n8n Here are some intelligent workflows I designed using n8n, a visual low-code automation platform, combining AI, APIs, and cloud integrations:
A webhook-driven image generation endpoint that converts user prompts into images using OpenAI's image generation capabilities (DALL·E) — returns the image directly in the response.
View demo →Gmail-based smart assistant that classifies customer queries, retrieves historical vector-matched responses from Pinecone, and drafts AI-generated replies using GPT models.
View demo →Automates the creation of LinkedIn posts by retrieving ideas from Google Sheets, enhancing context with the Tavily search API, and generating full post content using OpenAI GPT models.
View demo →Combines OpenAI embeddings with Pinecone Vector DB to store and retrieve knowledge from uploaded files, enabling users to ask intelligent, context-aware questions through a chat interface.
View demo →Explore a collection of real-world data science projects applying machine learning, deep learning, AI, and analytics to solve practical problems across various domains.
A computer vision AI based project designed to predict common rice leaf diseases using image classification techniques. It helps farmers identify infections early, enabling timely treatment and improving crop yield.
View on GitHub →Forecasted global weather trends using Kaggle datasets and applied advanced data science techniques.
View on GitHub →Predicted employee ratings using ML and DL models, analyzing work experience and satisfaction.
View on GitHub →Created predictive models to retain telecom clients and identify factors influencing customer churn.
View on GitHub →Built a classification model to identify different types of skin disorders using machine learning techniques.
View on GitHub →Designed a regression model to predict salaries based on experience, education, and job role factors.
View on GitHub →Developed a machine learning model to predict heart disease based on medical data with high accuracy.
View on GitHub →Built a predictive model using machine learning algorithms to forecast the likelihood of a customer subscribing to a bank product. Applied classification techniques to optimize marketing strategies.
View on GitHub →Below are the details to reach out to me!
Ahmedabad, Gujarat