Manav Mandal

Data Scientist & Machine Learning Engineer

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About Me

Data Scientist & ML Engineer

I am a data scientist and machine learning specialist with expertise in deep learning, computer vision, and natural language processing. My academic background includes a Master's in Data Science and a Bachelor's in Computer Engineering.

Currently working as a Computer Vision Researcher at Indiana University School of Optometry, I focus on developing innovative solutions for infant visual development research using monocular depth estimation techniques.

Previously, I worked as a Data Scientist at Imerit Technologies, where I engineered robust ETL pipelines, developed interactive dashboards, and led computer vision annotation projects.

I'm passionate about solving complex problems using data-driven approaches and creating machine learning solutions that make a real-world impact.

Manav Mandal

My Projects

Ad Insertion

Uninterrupted Ad Insertion

Python Mask R-CNN Computer Vision

Implementation of Mask R-CNN to detect suitable regions in video frames and seamlessly insert advertisements without interrupting playback.

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OptiFood

OptiFood - Inventory Management

Python Machine Learning JavaScript HTML/CSS

Web application that predicts daily restaurant inventory needs using machine learning to reduce food wastage based on historical usage patterns.

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Monocular Depth Estimation

Monocular Depth Estimation for Infant Visual Research

Python Computer Vision Deep Learning

Research investigating the effectiveness of monocular depth estimation techniques using deep learning approaches for studying infant visual development.

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Music Genre Classification

Music Genre Classification with Deep Learning

Python Audio Processing BERT CNN

Multi-modal approach for music genre classification combining audio features from spectrograms and lyrical analysis with BERT.

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Service WOW

Service WOW – AI-Powered Innovation Management

React Firebase Gemini AI TailwindCSS

AI-powered platform for collecting, evaluating, and prioritizing innovation ideas within organizations, using AI to automate scoring and enable data-driven decision making.

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Krishna Chatbot

Shri Krishna Chatbot

RAGs Gemini API Node.js NLP

Web-based chatbot that answers questions as Lord Krishna by referencing the Bhagavad Gita, providing wisdom with proper citations to source texts.

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Predict User Personality Type

Predict User's Personality Type

Python TensorFlow RNN NLP

Developed a model to predict a user's personality type (MBTI) based on their social media posts using bidirectional GRU networks.

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Lyric Generation

Music Lyric Generation

Python LSTM NLP

TensorFlow project using bidirectional LSTM to generate lyrics to a song based on seed text with 56.69% accuracy.

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Sentiment Analysis

Sentiment Analysis with Deep Learning

Python LSTM CNN GRU

Sentiment analysis model to identify positive and negative movie reviews using various neural network architectures including CNNs, single LSTMs, and multiple LSTMs.

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Image Classifier

Dogs and Cats Image Classifier

Python Transfer Learning Computer Vision

Image classification model for distinguishing between cats and dogs using transfer learning with MobileNet architecture.

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Pneumonia Detection

Pneumonia Detection from X-Ray Images

Python Transfer Learning CNN Medical Imaging

Used transfer learning with various models (MobileNet, VGG16, DenseNet) to detect pneumonia from chest X-ray images with 86.22% accuracy.

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Rock Classification

Rock Classification

Python TensorFlow Deep Learning

Applied various classification methods to predict rock categories (Igneous, Metamorphic, Sedimentary) based on 19 different rock features.

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Dimensionality Reduction

Dimensionality Reduction & Unsupervised Learning

Python TensorFlow Deep Learning PCA

Explored different dimensionality reduction techniques (PCA, t-SNE, LLE, MDS) on rock image dataset and compared performance of clustering algorithms.

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Transfer Learning

Transfer Learning for Image Classification

Python TensorFlow Transfer Learning

Used transfer learning for custom image classification, achieving 85.5% accuracy with MobileNetV2 compared to 63.7% with a model trained from scratch.

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Movie Review Website

Movie Review Website

HTML/CSS NodeJS Express React MongoDB

Full-stack website providing ratings, reviews, and movie information with user authentication for submitting personal reviews.

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Player Management

Player Management System

SQL Alchemy HTML/JS/CSS Python Dash App

Web-based system for managing football team players with database integration and dashboard for visualizing player attributes and performance.

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Tokyo Olympics

Data Transformation Pipeline for Tokyo Olympics

Python Microsoft Azure Data Engineering

Created a data pipeline using Microsoft Azure services to collect, transform, and analyze comprehensive data from the Tokyo Olympics.

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My Experience

Computer Vision Researcher

April 2024 - Present

Indiana University School of Optometry, Bloomington, IN

  • Researching monocular depth estimation techniques for infant visual development studies
  • Implementing deep learning models for analyzing visual data from head-mounted cameras
  • Contributing to National Eye Institute funded research on visual information processing

MS Data Science

August 2023 - May 2025

Indiana University, Bloomington, IN

Focused on deep learning, computer vision, and natural language processing applications.

Data Scientist

July 2021 - August 2022

Imerit Technologies, Remote

  • Architected enterprise-wide data warehouse infrastructure in Snowflake, reducing query execution time by 78%
  • Developed advanced statistical models identifying $2.4M in revenue opportunities through churn prediction with 83% accuracy
  • Built modular ETL framework with fault-tolerance and validation gates, reducing pipeline failures by 92%
  • Created comprehensive Tableau dashboards enabling C-suite to track KPIs across business functions
  • Led computer vision annotation projects, achieving 97% segmentation accuracy

BE Computer Engineering

August 2019 - May 2023

Developed strong foundations in software development, algorithms, and computer architecture.

My Skills

Languages & Tools

  • Python
  • SQL
  • JavaScript
  • HTML/CSS
  • Node.js
  • React

Data Science & ML

  • TensorFlow / PyTorch
  • Computer Vision
  • NLP
  • Statistical Modeling
  • Deep Learning
  • Data Mining

Data Engineering

  • ETL Pipelines
  • Snowflake
  • PostgreSQL
  • Google Cloud Platform
  • Microsoft Azure
  • Data Warehousing

Visualization

  • Tableau
  • Power BI
  • Matplotlib
  • Seaborn
  • Plotly
  • D3.js

Frameworks

  • scikit-learn
  • LSTM/RNN
  • CNN
  • GRU
  • Transfer Learning
  • RAGs

Other

  • Research Design
  • Agile Methodology
  • Technical Mentoring
  • Performance Optimization
  • API Development
  • Data Annotation

Get In Touch

Contact Information

Feel free to reach out to me for collaboration opportunities, project inquiries, or just to connect!

mmanav.3101@gmail.com

Bloomington, Indiana

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