Pritesh Ingle

About Pritesh Ingle

Data Scientist at Hisan Labs building end-to-end ML systems — from messy raw data to…

Experience

1. Data Scientist

   Hisan Labs - Hisan Labs Pvt Ltd

   Aug 2025 — Present · Pune District, IN

   A collection and preprocessing of raw datasets using Python and Pandas, building robust ETL data pipelines to ensure high data integrity.​Executed Exploratory Data Analysis (EDA) and statistical analysis to understand feature distributions, detect outliers, and identify correlations impacting predictive model performance.​Engineered predictive features from raw data to amplify the accuracy of machine learning algorithms and enhance dataset usability for business intelligence.​Trained supervised machine learning models, including Linear Regression, Logistic Regression, Decision Trees, Random Forest, and K-Nearest Neighbors using Scikit-Learn for predictive analytics.​Validated model performance leveraging industry-standard metrics such as Accuracy, Precision, Recall, F1-Score, ROC-AUC, RMSE, and R-Squared.​Formulated regression pipelines to forecast laptop prices utilizing hardware specifications (RAM, processor type, storage) and brand attributes.​Designed a Convolutional Neural Network (CNN) with TensorFlow and Keras to classify brain tumor images from MRI scans, achieving high computer vision classification accuracy.​Applied image preprocessing and data augmentation techniques, including resizing, normalization, and rotation, to improve deep learning model generalization.​Programmed a collaborative filtering recommendation system utilizing user-item interaction data to generate personalized book recommendations and drive user engagement.​Utilized K-Nearest Neighbors (KNN) similarity techniques to recommend relevant items by analyzing behavioral and data interaction patterns.​Optimized algorithms through hyperparameter tuning via Grid Search and Cross-Validation to elevate model stability and robustness.​Created interactive data visualizations and analytical dashboards in Matplotlib and Seaborn to present actionable insights to stakeholders.​Authored complex SQL queries for data extraction, transformation, and analysis from relational databases.