Akash Dadhich Email & Phone Number

With 3+ years of experience as a data scientist, I have been actively involved in developing innovative solutions to real-world challenges, leveraging my expertise in machine learning, ETL processes, and the application of cutting-edge tools like IML and PyCaret, Lime, Shap and Shapash for AutoML, MLflow, Streamlit and Time Series for forecasting.My key strengths lie in:- Exploratory data analysis and statistical modeling to uncover insights and patterns within complex datasets.- Proficiency in ETL (Extract, Transform, Load) processes, ensuring efficient data integration and transformation.- Hands-on experience with machine learning algorithms, including Linear regression, Logistic regression, Decision trees, Random Forests, SVM, KNN, AdaBoost, XGBoost, Kmeans, DBscan, PCA and SVD.- Expertise in Python libraries such as NumPy, Pandas, Scikit-learn, Matplotlib, Plotly, Seaborn and OOPs concepts,.- Familiarity with statistical concepts like probability, inferential statistics, correlation, distributions, and hypothesis testing.- Adept at writing SQL queries for database operations and data manipulation.- Utilizing AutoML frameworks like PyCaret for streamlining the end-to-end machine learning workflow.- Applying interpretable machine learning (IML) techniques to enhance model transparency and interpretability.-Enhanced the functionality of in-house product for modeling on different types of dataset.Beyond my technical skills, I have been an integral part of building low code no code product, contributing to the development lifecycle. I thrive in collaborative environments, leveraging my analytical, learning, interpersonal, and problem-solving abilities to drive innovation and deliver impactful solutions.