About me (Registered since 06/11/2025)

Data Scientist with 4.5+ years of experience in developing predictive models, churn analysis, transaction classification,
and revenue forecasting. Proficient in ML algorithms like Regression, Random Forest, XGBoost, SVM, and KNN, with
strong skills in Python, Pandas, NumPy, H2O.ai,Spark, Airflow, and AWS. Experienced in LLM agent development
(Google ADK, NL2SQL) and model optimization using Optuna and H2O AutoML. Adept at deriving actionable insights
from complex datasets to drive business decisions and operational efficiency

Education

  • August 2014 - May 2019
    Pune University

    BE

    India

Key Skills and Competencies

Python Packages: Python, Pandas, NumPy, Scikit-learn, Seaborn, SciPy, Matplotlib, TensorFlow Machine Learning & AI: AdaBoost, Decision Tree, Linear Regression, Ridge & Lasso Regression, Logistic Regression, Naïve Bayes, K-Nearest Neighbors (KNN), Support Vector Machine (SVM), Random Forest, Gradient Descent, Gradient Boosting, XGBoost, K-Means Clustering, DBSCAN, Hierarchical Clustering. Natural Language Processing (NLP): NLTK, TF-IDF, Word2Vec, Bag-of-Words, Cosine Similarity. Optimization & Model Tuning: Hyperparameter Tuning, Grid Search, Random Search, Cross-Validation, Optuna, Bayesian Optimization. Technologies: H2O.ai, Apache Airflow, AWS S3, AWS Cluster, Vertex AI, BigQuery,Google ADK, SageMaker, SQL, Generative AI, Large Language Models (LLMs), Image Processing, Optical Character Recognition (OCR)

Languages

English
Intermediate

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