We are on a captivating journey where real world data comes and transforms into
exploratory data analysis, statistical analysis,
meaningful insights, building the future
through the art of AI.
Hellow, Iam BARI ANKIT...!
I am currently in my 3'rd year of college, pursuing a AIDS (Artificial Intelligence & Data Science) degree from Vidyavardhini's College of Engineering and Technology.
In the dynamic world of data science, I find myself immersed in a continuous journey of exploration and learning.
Armed with a passion for unraveling patterns within data, I am dedicated to honing my skills in statistical analysis, machine learning, deep learning and data visualization.
Through hands-on projects and real-world applications, I am actively cultivating a deep understanding of the intricacies of data and its potential to drive informed decision-making.
My goal is not only to extract meaningful insights from data but also to contribute to the advancement of knowledge in this transformative field.
With each line of code and every model built, I am forging my path in data science, driven by the belief that data has the power to revolutionize how we approach and solve complex problems.
In 2019, I successfully completed my 10th grade education at Sarasvati Vidya Mandir School, marking a significant milestone in my academic journey.
Having successfully completed my 12th grade at BSES Junior College of Science from 2019 to 2021, I am proud to reflect on a transformative educational journey.
I am proud to announce the successful completion of my diploma in Computer Engineering at Theem College of Engineering from 2021 to 2023.
I am currently enrolled at Vidyavardhini's College of Engineering and Technology, where I am passionately pursuing my academic journey in the field of AIDS.
Gather data from APIs, SQL databases, and intricate Excel files. Transform for analysis, refine by eliminating outliers, and establish reproducible workflows. Automate report and insight generation, ensuring streamlined and efficient data preparation.
Create clear and reproducible reports, enhancing communication. Apply diverse statistical methods to extract profound insights from your dataset, ensuring a robust foundation for informed decision-making and effective data-driven narratives.
Contribute to scientific publications through graph creation and review. Create dashboards for real-time data analysis, fostering comprehensive insights and facilitating informed decision-making in dynamic environments.
Apply supervised and unsupervised learning algorithms, engaging in regression and classification tasks for predictive modeling. Perform hyperparameter tuning and model optimization. Expertise extends to deploying machine learning models in production environments, ensuring practical and impactful applications.
Expertise in building and training deep neural networks, specializing in image classification and object detection using Convolutional Neural Networks (CNNs). Skilled in hyperparameter tuning, optimization, and comprehensive model evaluation with performance metrics. Experienced in deploying sophisticated deep learning models into production environments for real-world impact.
Expertise in text preprocessing and feature extraction for robust Natural Language Processing (NLP). Proficient in building and training NLP models, specializing in text classification, sentiment analysis, Named Entity Recognition (NER), and part-of-speech tagging. Experienced in language generation, text summarization, topic modeling, and document clustering.
Proficient in image classification using deep learning models, with expertise in object detection and localization. Experienced in face recognition, facial expression analysis, pose estimation, and action recognition. Proficient in video analysis and processing.
Using KNN I make classification model which tells the given image is men's shirts or woman's dress.
I make a predictive ML model which predicts the actual price of a car using some input values.
I makes classification between fake news and real news and buid predictive system as fake news prediction.
Using key parameters of house this ML model pedicts the accurate price of house.
In medical field this ML model is provides the exact amount of insurance using some inout parameters.
In this recommendation model using movies dataset we make predictive system which recommends movis on user search commands.
This ML model takes spam and non-spam mails as a input and then tells the given mail is spam or not-spam mail.
In marine force ships this model helps to predict the underwater object is rock or mine using ray values input.