Hello,I'm
Akash

An Aspiring Data Scientist

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Akash

An Aspiring Data Scientist

Highly motivated and detail-oriented Data Science Enthusiast with a strong foundation in statistics, programming, and machine learning. Eager to apply my academic training and hands-on projects to contribute to data-driven decision-making. Possesses skills in data manipulation, exploratory data analysis, and predictive modeling. As an analyst intern, I worked with SQL, Python, Tableau, and Looker, and gained knowledge of algorithms like Linear-Logistic Regression, Decision Trees, Random Forests, SVM, and Neural Networks. Developed a recommendation model for categorizing tickets based on user input text data. A quick learner passionate about the latest advancements in the field.

Skills
  
Why Choose me
      
Python & MySQL
89%
Pandas & MS Excel
83%
Scikit-Learn & Pytorch
89%
Git Version Control
83%
PowerBI & Tableau
89%
Beautiful Soup
83%
NLTK & Spacy
95%
LLM
70%
Portfolio
Check My Wonderful Works
    
IBM Cognos Customer Churn Analysis
Recommendation System for E-Commerce Platform
Sentiment Analysis and Predictions
Time Series Forecasting
Teachable Machine For Facial Recognition
ChatBot Using NLTK and Cosine Similarity
Data Analysis using Excel
Data Analysis using PowerBI
Generating Anime Characters Using GAN
My Blogs
  
Latest
      
A Guide to Fine-tuning with Google Gemma's Model

Fine-tuning LLM model using Quantization, LoRA, QLoRA.
Before delving into the complexity of fine-tuning with Google’s Gemma Model, let’s first familiarize ourselves with

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Unlocking the Power of Intelligence: Building an Application with Gemini, Python, and FAISS for PDF-Driven Multi-Input Processing

In this blog, I delve into the world of advanced AI

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Unearthing Outliers: Methods for Detection and Handling

Outliers in data science refer to data points that deviate significantly from the majority of the observations in a dataset. These are data values

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