self image

About me

Welcome to my portfolio! I am Akash Jha, a dedicated Data Science enthusiast with a strong foundation in mathematics, computer science & Engineering. Proficient in Python, SQL, and a range of data analysis tools, proficient in Machine Learning, Deep Learning, Python, R, SQL, Tableau, Power BI, Advance Excel, and PowerPoint. I have hands-on experience working with real-time data (in millions of rows) and built End-to-End AI/ML Models from scratch to deployment. I have experience in data cleaning, and analytics, creating interactive reporting dashboards, and applying machine learning algorithms. I have experience working as an intern with Zidio Development, Oasis Infobyte, and Bharat Intern. Worked on diverse projects, from web scraping and predictive modeling to AI-driven business solutions. I've also developed end-to-end projects like; Face Punching Attendance System, Movie Recommender System, and Email Spam Detection using Machine Learning and Car Price Prediction. My passion for continuous learning is evident through certifications and participation in advanced programs.


Skills

Education

Experience

  • Key Skills
    Data Science Life Cycle, Model Building, Model Deployment, Data Visualization, Statistical Analysis, Feature Engineering, Data Preprocessing, Model Evaluation, Time Series Analysis, Data Modeling, Prompt Engineering, Web Scraping
  • Programming Languages
    Python, R, SQL
  • BI Tools
    Power BI, Tableau, Advanced Excel.
  • Databases
    MySQL
  • Libraries
    NumPy, Pandas, SciPy, Matplotlib, Seaborn, Scikit Learn, Statsmodel, Streamlit, Gradio, Flask, PyTorch
  • ML Algorithms
    Linear Regression, Logistic Regression, Decision Tree, SVM, KNN, AdaBoost, XGBoost.
  • Other Tools
    PyCharm, Anaconda, Jupyter Notebook, Google Colab, AWS SageMaker, RStudio, Git, GitHub, MS Office (Excel, Word, Power Point)
  • Mathematics
    Statistics, Probability, Linear Algebra, Calculus, and Matrices.
  • 2022 - 2024
    Master of Computer Application (MCA), Rajiv Gandhi Proudyogiki Vishwavidyalaya, Bhopal
    CGPA : 7.56
  • 2020 - 2021
    Diploma in Computer Application (DCA), Makhanlal Chaturvedi National University, Bhopal
    Score : 85.67%
  • 2017 - 2020
    Bachelors, Jiwaji University, Gwalior
  • Sep'2024 - Present
    Data Science & Analytics Intern

    Zidio Development

  • Sep'2024 - Present
    Data Science Intern

    Codsoft

  • Jun'2024 - Aug'2024
    Machine Learning Intern

    Bharat Intern

  • Apr'2024 - May'2024
    Data Science Intern

    Oasis Infobyte

  • Jan'2024 - Feb'2024
    Machine Learning Intern

    Internship Studio

My Expertise

Data Analytics

Data analytics is the process of analyzing raw data to find trends and answer questions. It has a broad scope across the field. This process includes many different techniques and goals. There are four primary types of data analytics: descriptive, diagnostic, predictive and prescriptive analytics.

Machine Learning

ML is one of the most exciting technologies that one would have ever come across. As it is evident from the name, it gives the computer that makes it more similar to humans: The ability to learn. Machine learning is actively being used today, perhaps in many more places than one would expect.

Deep Learning

Deep learning is a type of machine learning that uses artificial neural networks to learn from data. It's a key component of many AI services and models. Deep learning is called "deep" because it involves multiple layers of neural networks. It's inspired by the human brain and can automate tasks that typically require human intelligence.

Projects

Movie Recommendation System

Movie Recommendation System

This is an end-to-end content-based movie recommender system using cosine similarity. This recommender system provides the top 5 most similar movies based on content similarity.

Sentiment Analysis App

Sentiment Analysis App

In this project, I developed a sentiment analysis application utilizing a pre-trained model. The app was built to analyze text and determine the sentiment, whether positive, negative, or neutral. I deployed the application on the Hugging Face platform, making it easily accessible to users for real-time sentiment analysis.

Car Price Prediction with Machine Learning

Car Price Prediction with Machine Learning

Built a machine learning model capable of predicting car prices with high accuracy. Identify the key features that significantly influence car prices. Evaluate the performance of the model using appropriate metrics and techniques.

Email Spam Detection with Machine Learning

Email Spam Detection with Machine Learning

The SMS Spam Collection is a set of SMS tagged messages that have been collected for SMS Spam research. It contains one set of SMS messages in English of 5,574 messages, tagged acording being ham (legitimate) or spam. I have performed data cleaning, EDA, and applied the Naive Bayes classifier on this data with 3 different classification algorithms, Successfully predicting results with 98% accuracy.

Iris Flower Classification

Iris Flower Classification

Iris flower has three species; setosa, versicolor, and virginica, which differs according to their measurements. We have the measurements of the iris flowers according to their species, and here I've trained a machine learning model that can classify them based on their measurement of Sepal Length, Sepal Width, Petal Length, and Petal Width.

Certifications

Contact

Akash.jha90390@gmail.com

+91 8819990390

Download CV

Copyright © Akash Jha. Made with