what clients say
"Dishant consistently delivers high-quality data solutions that are both innovative and efficient. His expertise in machine learning and big data technologies makes him a valuable asset to any project."
"Dishant consistently delivers high-quality data solutions that are both innovative and efficient. His expertise in machine learning and big data technologies makes him a valuable asset to any project."
"Currently pursuing a B.Tech in Computer Science with a specialization in Data Science, I blend academic knowledge with real-world applications."
I am Dishant Chouhan, an aspiring AI and Machine Learning specialist with a strong foundation in data science. I specialize in building intelligent, data-driven solutions. I have hands-on experience developing ML and deep learning models using TensorFlow, PyTorch, and Scikit-learn, with applications in NLP and computer vision. My Data engineering skills include building scalable data pipelines with Apache Spark, Kafka, and Airflow, along with expertise in Python, SQL, and NoSQL databases. I’m also skilled in data visualization using Tableau, Power BI, and Python libraries. My goal is to combine AI innovation with robust data infrastructure to deliver impactful, end-to-end solutions.
"From data architecture to machine learning models, explore services designed to transform your business with precision and efficiency."
May 2025
APR 2019 - Jul 2021
Enhanced model accuracy from 20% to 88% by applying SMOTE to address dataset imbalance and recommended 105 crops. Integrated the solution using Flask for an improved web application.
View on GitHubCreated Tableau visualizations, SQL queries, and Excel analyses to derive insights into pandemic trends, focusing on death and vaccination statistics.
View on GitHubBuilt a real-time data pipeline using Apache Airflow, Kafka, Spark, and Cassandra. Data ingestion from randomuser.me API, processed real-time streams, and stored in Cassandra and PostgreSQL using Docker.
View on GitHubDeveloped a sales dashboard in Excel using pivot tables, charts, and slicers for effective visualization of sales trends and performance across multiple product categories.
View on GitHubDeveloped a deep learning-based application to detect abnormalities in X-ray images of various body parts (wrist, finger, humerus, forearm, and hand). Built using Flask with TensorFlow/Keras for model inference.
View on GitHubBuilt with Streamlit, LangChain,FAISS, and Hugging Face models, ASKmYDocs lets users chat with one or more uploaded PDFs. A Retrieval-Augmented Generation (RAG) pipeline—MiniLM embeddings + Mistral-7B-Instruct—retrieves relevant chunks and generates concise answers with page-level citations. Features include multi-PDF knowledge-base management, answer regeneration, chat-history export, dynamic follow-up suggestions, and one-click vector-store reset.
View on GitHubIf you have any questions, please feel free to drop me a line. I'll get back to you as soon as I can. That's a promise!