, I’m Shivam!

An AI analyst with specialisation in end-to-end machine learning solutions-time series forecasting, computer vision and NLP. I am currently working to deploy an Advanced Automated Essay Scoring System and develop a model for food wasteage reduction.

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Explore My

Skills

Frontend Development

HTML

Intermediate

CSS

Intermediate

JavaScript

Basic

TypeScript

Basic

Bootstrap

Intermediate

Languages

Python

Experienced

C

Experienced

C++

Intermediate

Java

Basic

My SQL

Basic

Verilog

Intermediate

Machine Learning & Data Science

Computer Vision

Experienced

NLP

Intermediate

ML Libraries

Intermediate

Statistical Analysis

Intermediate

Deep Learning

Intermediate

Analysis and Visualization

Regression

Advance

Classification

Advance

Clustering

Intermediate

Gradient Boosting

Intermediate

Time Series

Intermediate

Other Tools

Git & Actions

Basic

Tableau

Basic

AWS

Basic

Power BI

Basic

Professional

Experience

AI Analyst

FLAME University • Pune, India

Jun 2025 – Present

  • • Processed & visualized mess data to forecast daily food consumption, reducing waste by ~65% via time-series modeling.
  • • Analyzed 10,000+ biometric entries to optimize scheduling and predict grades.
  • • Designed interactive dashboards that cut manual effort in essay reviews by 50%.

ML Research Associate

FLAME University • Pune, India

Jun 2024 – May 2025

  • • Researched VAE + CNN pipelines for medical image classification, boosting cancer detection by 12%.
  • • Built & deployed an NLP-based essay scoring engine (RMSE 0.87) with Flask.
  • • Preprocessed/visualized data using Pandas & Seaborn for academic reporting.

Research Intern

National University of Singapore • Singapore

Aug 2023 – Dec 2023

  • • Trained ML models to detect smoking imagery, hate speech & fake news on 12,000+ posts.
  • • Developed 3D face reconstruction for deepfake correction, restoring 40% of features.
  • • Integrated CNN classifier into a web UI, improving speed by 25%.
  • Shivam Anand Aralikatti, et al. “Graph-Based Regulatory Analysis of Online Social Media Content” — Springer LNNS (ICSCSP 2024). Link

Get in Touch

Contact Me

shivamaralikatti01@gmail.com
LinkedIn