Hi, I am Sayanti Das

Data Scientist &
  • AI/ML Enthusiast

Turning Data Into Insights, Ideas Into Impact.

I’m an aspiring Data Scientist passionate about transforming data into meaningful insights and building intelligent applications using Machine Learning, Deep Learning, NLP, and Generative AI.

ABOUT ME

Turning Data Into Insights, Ideas Into Impact

I began my professional journey as a WordPress Developer, where I gained hands-on experience building responsive, user-friendly, and performance-focused websites.

My interest in technology gradually led me toward Data Science and Artificial Intelligence. I started exploring Python, data analysis, machine learning, deep learning, NLP

Today, I focus on developing practical projects that combine data analysis, predictive modeling, AI, and software development to solve real-world problems.

I’m currently looking for opportunities where I can apply my skills, learn from experienced professionals, and contribute to meaningful data-driven solutions.


 

MY JOURNEY

  • Biochemistry Background

    B.Sc. in Biochemistry
    Developed analytical thinking, scientific reasoning, and problem-solving skills.

  • WordPress Developer

    Around 1 Year Professional Experience
    Built responsive, performance-focused, and user-friendly websites.

  • Data Science

    Python • SQL • Pandas • NumPy
    Started working with data analysis, visualization, and statistical concepts.

  • Machine Learning & AI

    ML • Deep Learning • NLP • LLM
    Currently building intelligent applications and solving real-world problems using AI.





skills

Technical Skills

Programming & Data

Data Analysis & Visualization

Deep Learning

Machine Learning

NLP & Backend

Tools & Deployment

FEATURED PROJECTS

Some Things I've Built

AI Recruiter

AI-Powered Resume Screening & Job Matching Platform

An intelligent recruitment platform designed to analyze resumes, classify candidate profiles, extract relevant skills, and match candidates with job descriptions.

  • Python
  • TensorFlow
  • Keras
  • LSTM
  • NLP
  • FastAPI
  • React
  • MongoDB

Smart Inventory System

Machine Learning-Based Inventory Management

A full-stack inventory management system that combines data analytics and machine learning to manage products, suppliers, inventory while generating predictive insights.

  • Python
  • Pandas
  • Scikit-learn
  • FastAPI
  • React
  • SQL

WORKFLOW

How I Solve Problems

Understand → Collect & Clean → Explore → Build → Evaluate → Deploy & Improve

number-1 Understand
Understand

Understand the business problem, requirements, and objectives.

number-2_new Collect & Clean
Collect & Clean

Prepare the dataset by handling missing values, duplicates, inconsistencies, and irrelevant information.

number-3 Explore
Explore

Perform exploratory data analysis to discover patterns, relationships, trends, and important features.

number-4 Build
Build

Select appropriate machine learning or deep learning algorithms and train predictive models.

WhatsApp Image 2026-08-31 at 19.56.14-Photoroom Evaluate
Evaluate

Evaluate model performance using suitable metrics and validate the results.

WhatsApp Image 2026-08-31 at 19.54.44-Photoroom Deploy & Improve
Deploy & Improve

Convert the solution into a usable application and continuously improve its performance.





CONTACT

Let's Connect

Drop Me Message

Have an opportunity you’d like to discuss?

I’d love to hear from you.

Call on

+91 7980988379

Write Me

devsayantisd@gmail.com

Find Me

https://www.linkedin.com/in/das-sayanti/

Request a Quotation