Hi all, I'm Anand

I am a Machine Learning Engineer and currently pursuing an MSc in Artificial Intelligence at De Montfort University Dubai. I am passionate about building intelligent systems that transform data into actionable insights. My experience includes developing end-to-end machine learning applications involving data preprocessing, feature engineering, model training, evaluation, and deployment.

See My Resume

What I like to do

Transforming raw data into Intelligent systems

Machine Learning Engineer

⚡ Data Collection, Cleaning, and Feature Engineering

⚡ Building real world Machine Learning Models

⚡ Web Scraping and Data Acquisition

⚡ End-to-End Machine Learning Pipelines

⚡ Deploy Intelligent Models for Real-World Impact

⚡ Data Structure and Algorithm using Java

Proficiency

Data Analysis
90%
Machine Learning
85%
Natural Language Processing
85%
Model Development
90%
DSA
90%

Education

De Montfort University
Master of Science in Artificial intelligence
Feb 2026 - Feb 2027

    St Joseph's University
    Master of Science in Computer Science
    August 2022 - April 2024Grade A

      Pioneer College
      Bachelor of Science in Computer Science
      June 2018 - May 2021Grade A

        Experience

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        St Joseph's University

        Assistant Professor
        August 2024 - February 2026
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          St Joseph's University

          Artificial Intelligence Research Assistant
          July 2023 - April 2024
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            AINQA

            Software Engineer
            June 2021 - June 2022

              Projects

              Loan Eligibility Classifier

              ML-powered loan eligibility prediction system using classification algorithms, feature engineering, and Streamlit for real-time decision support.

              Demo

              IPL Win Prediction

              IPL Win Predictor using Machine Learning and Streamlit. The project performs data preprocessing, feature engineering, model training, and real-time match outcome prediction based on live match conditions.

              Demo

              Semantic Sentiment Classification

              Semantic sentiment classification system using NLP and Machine Learning. Compares BoW, TF-IDF, Word2Vec, and Doc2Vec embeddings with multiple classifiers to understand contextual sentiment in real-world text.

              Demo

              WhatsApp Chat Analysis

              A data-driven NLP application that transforms raw WhatsApp chat exports into actionable insights using Python and Streamlit. Explore conversation trends, user behavior, emoji patterns, word usage, and communication dynamics through interactive analytics.

              Demo

              Course Recommendation System

              A Content based recommendation System that suggests similar courses using Natural Language Processing and cosine similarity on course metadata.

              Demo

              Mall Customer Segmentation

              Customer segmentation system using unsupervised machine learning (K-Means clustering) to group mall customers based on income, age, and spending behavior for targeted marketing strategies.

              Demo

              Reach Out to me!

              Machine Learning & NLP enthusiast building real-world AI systems using Python, Scikit-learn, and Deep Learning. Focused on turning data into intelligent

              Karama, Duabai