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JayParekh-MechAI/README.md

Hi, I'm Jay Parekh 👋

Data Analyst | MSc Artificial Intelligence | BEng Mechanical Engineering

I am a data-driven professional transitioning from a background in Mechanical Engineering to Data Analytics. I specialize in transforming complex datasets into actionable business insights using Python, SQL, and Tableau/PowerBI. My experience ranges from engineering predictive models with 97% accuracy to building interactive business intelligence dashboards.


📊 Featured Data Projects

  • Goal: Predict customer attrition to improve retention strategies.
  • Tech: Python (Pandas, Scikit-Learn, Seaborn), SMOTE for class imbalance.
  • Outcome: Developed a classification pipeline optimized for Recall, ensuring high-risk customers are identified before they leave.
  • Goal: Visualize regional risk and financial KPIs for insurance claims.
  • Tech: Tableau, Excel, Data Storytelling.
  • Outcome: Created an interactive dashboard that identifies high-loss geographic "hotspots" to guide stakeholder decision-making.
  • BEng (Hons) Dissertation
  • Goal: Replace slow CFD simulations with high-speed Neural Networks.
  • Tech: Python, Keras, Matplotlib, XFoil.
  • Outcome: Achieved 97.58% prediction accuracy, reducing computational time significantly while maintaining precision.
  • MSc Dissertation
  • Goal: Synchronize and analyze 10M+ features from video/audio streams.
  • Tech: TensorFlow, OpenCV, Librosa, MobileNet + BiLSTM.

🛠️ Technical Toolbox

  • Languages: Python (Pandas, NumPy, Scikit-Learn, TensorFlow), SQL, MATLAB.
  • Visualization: Tableau, Power BI, Matplotlib, Seaborn.
  • Tools: Git/GitHub, Linux (Ubuntu), Excel (Pivot Tables, VLOOKUP).
  • Analytical Skills: Predictive Modelling, Statistical Testing, Root Cause Analysis (RCA), EDA.

📫 Connect with me:


Popular repositories Loading

  1. Bank-Churn-Predictive-Analytics Bank-Churn-Predictive-Analytics Public

    A predictive analytics pipeline using ensemble learning to identify high-risk bank customer attrition, featuring automated feature engineering and class-imbalance handling to optimize retention str…

  2. Tableau-Insurance-Dashboard Tableau-Insurance-Dashboard Public

    An interactive Business Intelligence (BI) dashboard developed in Tableau to visualize insurance claims frequency, regional risk distribution, and policy profitability through dynamic KPI tracking a…

  3. Multimodal-Emotion-Detection-Research Multimodal-Emotion-Detection-Research Public

    A multimodal deep learning framework integrating MobileNet and BiLSTM architectures to synchronize facial landmark detection and audio feature extraction for robust emotion recognition.

    Jupyter Notebook

  4. Squash-Ball-Catapult-Engineering Squash-Ball-Catapult-Engineering Public

    A structural design and kinematics project focusing on the conversion of elastic potential energy into kinetic energy for projectile ballistics, featuring iterative prototyping and experimental ran…

  5. Marble-Rollercoaster-Engineering Marble-Rollercoaster-Engineering Public

    A design-and-build engineering project focused on the application of classical mechanics and the Work-Energy Theorem to create a functional marble rollercoaster. Features a technical analysis of po…

  6. Air-Engine-Planetary-Gearbox-Engineering Air-Engine-Planetary-Gearbox-Engineering Public

    An end-to-end mechanical design and manufacturing project featuring a high-ratio (1:10) planetary gearbox and an oscillating air engine. Demonstrates proficiency in kinematic joint modeling, ISO to…