TAUQUEER ALAM

Gurugram, Haryana
www.tauqueeralam.com
tauqueeralam100@gmail.com

ABOUT ME

Machine Learning and Data Science enthusiast with hands-on experience in developing supervised, unsupervised, and deep learning solutions. Skilled in data preprocessing, exploratory data analysis (EDA), feature engineering, model development, evaluation, and deployment using Python, Scikit-learn, TensorFlow, and Streamlit. Passionate about applying AI and data-driven techniques to solve real-world business problems.

EDUCATION

Bachelor of Technology in Computer Science and Engineering (Artificial Intelligence)
2023 – 2027
Gurugram University, Haryana
Class XII
2022
L.N.V College Triveniganj, Supaul, Bihar
Class X
2020
Araria Public School, Araria, Bihar

INTERNSHIP

AI & Cloud Intern – Edunet Foundation (IBM SkillsBuild, AICTE Collaboration)
July 2025 – August 2025
  • Completed a 4-week virtual internship on AI and cloud technologies, gaining hands-on experience with IBM SkillsBuild platform.
  • Worked on real-world AI and cloud use cases as part of the AICTE-approved collaboration between Edunet Foundation and IBM.

PROJECTS

Vehicle Insurance Claim Fraud Detection
Project Link
XGBoost, Scikit-learn, Pandas, Streamlit
  • Built an XGBoost-based fraud risk dashboard handling severe class imbalance (~6% fraud prevalence) using cost-sensitive learning, expanding 29 base features to 86 model features.
  • Implemented business-centric evaluation (Audit Efficiency/Lift) achieving a 2.7x efficiency multiplier over random audits, with a real-time risk threshold slider deployed via Streamlit.
Customer Segmentation and Business Insights
Project Link
K-Means, DBSCAN, Hierarchical Clustering, Streamlit, Plotly
  • Built an interactive mall customer segmentation dashboard using K-Means, DBSCAN, and Hierarchical Clustering with dynamic hyperparameter tuning and real-time cluster updates via Streamlit and Plotly.
  • Implemented a supervised KNN proxy wrapper to enable out-of-sample predictions for DBSCAN and Agglomerative Clustering, with bulk CSV batch segmentation and single customer predictor tool.
Waste Classifier – Organic Vs Recyclable
Project Link
CNN, TensorFlow/Keras, Flask, Python
  • Built a CNN-based image classifier using TensorFlow/Keras with MaxPooling and Softmax activation to segregate waste into organic and recyclable categories.
  • Deployed as a real-time web app using Flask with HTML/CSS frontend and hosted on Hugging Face Spaces.
Heart Attack Predictor
Project Link
Random Forest, Scikit-learn, Streamlit, Python
  • Developed a heart attack risk predictor using Random Forest Classifier trained on clinical health metrics; performed EDA, feature selection, and 80/20 train-test split with Pickle serialisation.
  • Built and deployed an interactive Streamlit web app enabling users to input health parameters and receive instant risk predictions.

SKILLS

Programming Languages:
Python SQL
Data Science & Analytics:
Data Cleaning Data Preprocessing Exploratory Data Analysis (EDA) Feature Engineering Data Visualization
Machine Learning & AI:
Machine Learning Deep Learning (ANN, CNN) Supervised Learning Unsupervised Learning NLP
Libraries & Frameworks:
NumPy Pandas Matplotlib Seaborn Scikit-learn TensorFlow Keras
Databases:
PostgreSQL MySQL
Tools & Technologies:
Power BI Jupyter Notebook Google Colab Flask Git GitHub

ACHIEVEMENTS

  • Qualified GATE DA 2026 (Data Science & Artificial Intelligence).
  • Achieved 94.49 percentile in Naukri Campus Young Turks 2025, a national-level skill competition.

CERTIFICATIONS

  • Geodata Processing using Python and Machine Learning – IIRS, ISRO | March 2025
  • Tata Group GenAI Powered Data Analytics Job Simulation – Forage | June 2025