Saurabh Tandon-Data Scientist

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Who Am I ?

About Me

I'm a data enthusiast experienced in Python, MySQL, statistical techniques, Object detection and tracking, NLP, LLMs, LangChain and utilizing machine learning models to uncover valuable insights. As a data scientist, my career objective is to continuously evolve and take on stimulating projects that have a significant business impact.
I'm genuinely excited about leveraging my skills and expertise to assist companies in making intelligent decisions, gaining a competitive edge, and achieving success. With a strong focus on data-driven strategies, I aim to develop innovative solutions and drive measurable results. Let's collaborate to harness the power of data and drive transformative outcomes for your organization.

What I Did ?

Projects

Chat with PDFs

Category: LLMs with Langchain and Faiss

Text Summerizer

Category: NLP(Natual language Processing)

Vehicle Tracker and Counter

Category: Tracking and Counting

Sign Language Detection

Category: Compueter Vision-Object Detection

Thyroid Disease Detection

Category: ML Classification

Scania APS Fault Detection

Category: Fault Detection

What my seniors say About Me ?

Testmonial

Your exceptional data science skills have made a profound impact. Your proficiency in Python, statistical techniques, and machine learning models sets you apart. Your ability to uncover valuable insights and drive business impact is unparalleled. You consistently deliver innovative solutions and can help companies make data-driven decisions. Your dedication and expertise in data science are truly commendable

Krish Naik

During his internship programme with us, he demonstrated exceptional skills with a self-motivated attitude to learn new things and implement them end to end with all of our mentioned industrial standards. His performance was excellent and was able to complete the project successfully on time.

Sudhanshu Kumar

Blog

Decision Tree

By: Saurabh Tandon 8886 92 3

A Decision tree is a flowchart-like tree structure, where each internal node denotes a test on an attribute, each branch represents an outcome of the test, and each leaf node (terminal node) holds a class label.
more on Github

Regression Classification Practical Implementation

By: Saurabh Tandon 973 14 2

A detailed practical on Regression and Classification problems from the popular realtime datasets in their own category. Regression:-Household Electric Power Consumption Classification:-Adult Census Income

Links for the dataset:
Household Electric Power Consumption:-https://lnkd.in/ezYkh_F8
Adult Census Income:- https://lnkd.in/gzkk6vmm

Regression:linear regression,ridge regression,lasso regression,elastic net, support vector regression Classification: logistic regression,SVM(kernel) Hyperparameter tuning(GRID SEARCH CV)

HI! I am Saurabh Tandon