Data Science × Analytics × AI

3rd-year BCA Data Science student with a minor in Data Analytics, currently working as a Data Analyst Intern and exploring neural networks.

View my work GitHub

  • Currently working

    Data Analyst Intern @ Unified Mentor

  • Exploring

    Neural Networks

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Who I am

I work where data, technology and curiosity meet.

I'm a 3rd-year BCA Data Science student with a minor in Data Analytics. Alongside academics, I'm gaining practical experience as a Data Analyst Intern at Unified Mentor while exploring neural networks through research, experimentation and implementation.

  • I learn.
  • I analyze.
  • I build.
  • I experiment.
  • I go deeper.
Portrait of Anuj Suryawanshi seated with arms crossed in front of a round window
Anuj SuryawanshiBCA Data Science · MIT-ADT University

Experience

Two internships, one direction of study. Open a role to see what the work involved.

  1. Web development
  2. Databases
  3. Data analytics
  4. Data science
  5. AI / Neural networks

A map of the areas I've worked in and am moving toward — not a straight line from one role to the next.

    • Practiced CRUD (Create, Read, Update, Delete) operations and database interaction using SQL.
    • Built responsive multi-page websites using HTML, CSS, JavaScript and Bootstrap as part of internship assignments.
    • Developed a database-connected web page that captures and stores user information: name, email, phone, subject and message.
    • Gained hands-on experience with form handling, SQL database integration and storing submitted data.
    • Worked on practical web development tasks involving frontend design and backend database connectivity.
    • HTML
    • CSS
    • JavaScript
    • Bootstrap
    • SQL
    • CRUD
    • Database integration

  2. Current role. Work areas include:

    • Data cleaning
    • Data validation
    • Data preprocessing
    • Exploratory data analysis
    • Data visualization
    • KPI development
    • Interactive dashboards
    • Trend analysis
    • Reporting
    • Python
    • Data analytics
    • Pandas
    • Visualization
    • Streamlit
    See the shipping analytics project

  3. Going deeper into how models learn, alongside my degree.

    • Data science
    • Machine learning
    • Neural networks
    • AI
    See the neural network exploration

Featured internship project

Turning Shipping Data into Route-Level Insights

I recently worked on a project with Unified Mentor analyzing factory-to-customer shipping performance for Nassau Candy Distributor.

An internship analysis project — not a role in the company's logistics operations.

Abstract representation. Not actual route or geographic data.

  1. 10,000+ orders: over 10,000 order records are the starting point.
  2. Clean and validate: cleaned and validated 10,000+ order records.
  3. 5 factories: mapped products to 5 factories.
  4. 196 routes: analyzed 196 shipping routes.
  5. KPI analysis: built average lead time, route volume, delay frequency and route efficiency score.
  6. Bottleneck detection: compared ship modes and flagged regional bottlenecks.
  7. Interactive dashboard: Streamlit dashboard with filters, US map, route drill-downs and KPI views.
Without route-level visibility, logistics decisions stay reactive.
Breaking performance down by factory, state, and ship mode shows where to act first.

What I did

Data cleaning
Cleaned and validated 10,000+ order records.
Route mapping
Mapped products to 5 factories and analyzed 196 shipping routes.
KPI development
Built average lead time, route volume, delay frequency and a route efficiency score.
Shipping analysis
Compared ship modes and flagged regional bottlenecks.
Dashboard
Built an interactive Streamlit dashboard with filters, a US map, route drill-downs and KPI views.
  • Python
  • Pandas
  • Plotly
  • Streamlit

Research / Exploration

Self-directed study and experiments — not published research.

Neural networks

Exploring the foundations and behavior of neural networks through study, experimentation and implementation.

Skills

Hover, focus or tap a skill to see what it connects to.

Data analytics

AI / Machine learning

Development

Data / web tools

Select a skill

Connections light up between skills that I use together.

Projects

One internship case study and one prototype I built myself.

01Data analytics / logistics intelligence

Turning Shipping Data into Route-Level Insights

Analyzed 10,000+ shipping records to uncover route-level performance patterns across factories, states and ship modes.

  • Python
  • Pandas
  • Plotly
  • Streamlit
Internship projectUnified Mentor
View case study

02Machine learning / health prototype

Maatri.ai

An AI-assisted maternal health risk assessment web application prototype designed to support risk identification and healthcare workflows.

  • Python
  • Flask
  • Machine learning
  • HTML
  • CSS
  • JavaScript
PrototypeEducational use
Project walkthrough GitHub

Maatri.ai

A prototype for maternal health risk assessment.

Problem

Maternal health risk is judged from a small set of routine readings. This prototype asks a practical question: can a trained model turn those readings into a clear Low, Mid or High risk level?

Education

BCA — Data Science

MIT-ADT University

3rd year

Minor Data Analytics

Status
Studying
BCA Data Science
Minor
Data Analytics
Working
Data Analyst Intern @ Unified Mentor
Exploring
Neural Networks
Building
Data + AI Projects

Let's build something useful.

Interested in data, AI, meaningful problems and building things that actually work.

Email me GitHub LinkedIn

Or write to suryawanshianuj83@gmail.com