Skills:

Programming Languages and Libraries: Python ( Pandas , Numpy , Matplotlib and Seaborn , Scikit Learn )

FrameWorks: Flask , TensorFlow , PyTorch , Langchain

Machine Learning Algorithms: Linear Models , Tree based Models , Clustering models , Association Models

Computer Vision: Object Detection (YOLO), Image Classification,

ML operations (MLops): ML Flow,Zenml , Dags Hub , GIT/GIT HUB , DVC(Data version control), Dockers

Deep Learning: Artificial neural network , Convolutional neural network , Recurrent neural network (LSTM)

Natural Language processing: Attention based models , Transfer learning , Generative pre trained models

Applications : Anomaly Detection , Time Series Analysis , LLM Fine tuning (QLoRA ,LoRA),

About

About Me

A Machine Learning and Data Science enthusiast currently pursuing my undergraduate studies at IIT Madras. With nearly 2 years of experience in the data science industry, my expertise lies in Python, analytical libraries, traditional machine learning, deep learning architectures, and MLOps tools like DVC, MLflow, ZenML, Docker,and GitHub Actions. Additionally, I value critical thinking and possess strong self-learning and motivational skills.

0 +   Projects completed

LinkedIn



Education


Indian Institute of Technology Madras (IITM)

Degree in DataScience &Applications

CGPA: 8.0

Data Science Masters Cource

Physics Wallah (i-neuron) Company

Projects

Projects

Roll through few of my Data science and Machine learning projects.

DataCo-Global's supply chain

The project aims to leverage DataCo-Global's supply chain dataset for exploratory data analysis, feature engineering, feature selection, model training, and basic MLOps, to unearth actionable insights and optimize supply chain operations for enhanced efficiency and performance.

House Price Predection

The company aims to predict house prices utilizing detailed information about the properties, including location, number of bathrooms, bedrooms, amenities, and other pertinent details. Additionally, the company seeks a comprehensive analysis of the data to develop a robust machine learning model. Moreover, they aspire to implement MLOps standards to ensure efficient and standardized deployment of the model.

RAG Application with Hypothetical Document Embeddings Q&A Chatbot

Develop RAG Application with Hypothetical Document Embeddings Q&A Chatbot capable of providing precise and contextually relevant responses based on Lex Fridman podcast transcripts, with the ability to scrape 1k documents.


More projects on Github

I thrive on untangling business puzzles, unveiling the hidden narratives woven within data.


GitHub

Contact

Contact Me

Drop me a line using the details below, I'm just a virtual shout away!

Address

Bengaluru, India

Contact Number

+91 8453036381

Email Address

Darshankumarr03@gmail.com

Linkedin

Link-E-Din



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