Jaikrishna is a scientifically driven Data Analyst skilled in EDA, data visualization, and machine learning model development. He has expertise in data extraction, preprocessing, and handling various data types. His experience includes building and evaluating models such as Random Forest, XGBoost, and Support Vector Machines.
Experience
Data Analyst
Imap Technologies Pvt Ltd
Defining the pre-processing, feature engineering and validation strategies, used Python, Jupyter notebook to analyze data and processed the raw data from CSV files into organized form by applying Data Cleaning techniques using libraries like pandas and NumPy. Cleaned data by removing duplicates, Outliers, filling out missing data by K Nearest Neighbors and various other techniques and dealt with biased data set by OverSampling and UnderSampling, Cluster based sampling methods and Modified synthetic minority oversampling technique(SMOTE). Leveraged dimensionality reduction techniques wherever necessary. Built and trained models such as Linear Regression, Logistic Regression, Random forest, XGBoost, Support vector machine and K-means clustering. Used Cross Validation and Hyperparameter tuning techniques for evaluating and deriving the best performing model. Analyzing the errors of the model and designing strategies to overcome them.
Education
Visvesvaraya Technological University (VTU)
Bachelor of Engineering