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Arsalan Shaikh

Entry-level Data Scientist with hands-on experience in ML and AI solutions, including medical imaging, financial risk analysis, and an AI interview platform. Delivered strong results in model accuracy and performance across real-world projects. Skilled in full ML workflows and translating complex data into actionable insights

Arsalan Shaikh Profile Picture

About Me

AI Engineer & Data Scientist

As a dedicated AI Engineer, I architect and build intelligent systems from the ground up. My expertise lies in transforming complex datasets into actionable insights using advanced deep learning and NLP models. I thrive on solving real-world problems by engineering scalable and efficient AI solutions.

My journey in data science complements my engineering skills, allowing me to not only implement models but also to deeply understand the narratives within the data. From feature engineering to deploying robust MLOps pipelines, I manage the full lifecycle of an AI project, ensuring impactful and data-driven results.

2021 - 2025
B.Tech in AI & Data Science

MIT Aurangabad | CGPA: 7.5 | Specialized in Deep Learning and NLP

2023
Infosys Springboard Intern

Developed a CNN model for Iris Tumor Detection with 92% accuracy, implemented image augmentation pipeline

2023
Quasar Hackathon Finalist

Led team to finals with AI-powered interview platform, recognized for innovative NLP implementation

My Expertise

Machine Learning & Deep Learning

  • Regression, Classification, Clustering
  • Ensemble Methods (Voting, Stacking, Bagging, Boosting)
  • PCA, Feature Engineering
  • Model Tuning & Optimization

Natural Language Processing

  • Text Preprocessing, Tokenization
  • Word2Vec, BERT
  • NLTK, spaCy
  • Text Classification, Similarity Analysis

Data Analysis & Visualization

  • EDA, Data Cleaning
  • SQL (MySQL), MongoDB
  • Power BI, Tableau
  • Matplotlib, Seaborn

Programming & MLOps

  • Python (Pandas, NumPy, Scikit-learn, TensorFlow, Keras, PyTorch, FastAPI)
  • R, C++
  • Git, GitHub (CI/CD)
  • Docker, MLflow, DVC
  • API Deployment

AI Projects

AI Interview Platform Project NLP
Aimers - AI Interview Platform

Advanced BERT-based evaluation system with 90%+ accuracy in assessing candidate responses. Features sentiment analysis, answer relevance scoring, and comprehensive feedback generation.

PythonBERTNLPFastAPITF-IDF
Loan Risk Prediction Project ML
Loan Risk Prediction System

XGBoost model with 91% AUC score for credit risk assessment. Includes automated feature engineering pipeline and interactive Power BI dashboards for risk visualization.

XGBoostPower BIScikit-learnFastAPI
Tumor Detection Project CV
Iris Tumor Detection CNN

92% accurate CNN model developed during Infosys internship. Implements advanced image augmentation and hyperparameter optimization for medical image classification.

CNNTensorFlowOpenCVMedical AI
Sentiment Analysis Project NLP + ML
Movie Recommendation System

Movie Recommendation system build using Natural Language Preprocessing & Cosine Similarity

NLPCosine SimilarityIMDB ApiStreamlit

My Resume

Download My Professional Journey

Explore my comprehensive background in AI engineering, including academic achievements, technical skills, project experiences, and professional accomplishments in detail.

Get In Touch

Let's Build The Future With AI

I'm actively exploring new opportunities and collaborations. Whether you have a project in mind, want to discuss AI, or just say hello, I'd love to hear from you.