
Python- Numpy, Sci-py, Pandas, Sci-kit Learn, Matplot-lib, Seaborn, Nltk
Machine Learning- Tensor flow, Keras, Pytorch, Stats model, Regression, Statistics , Probability, Hypothesis Testing
MySQL- SQL Query Writing & Optimization: Complex queries, joins, subqueries, and performance optimization
Data Analysis & Reporting: Aggregating, summarizing, and reporting data using SQL and BI tools
Database Design: Schema creation, indexing, relationships, and normalization
Data Cleaning & Transformation: Handling NULLs, duplicates, and converting data types
ETL Processes: Extracting, transforming, and loading data into MySQL
Performance Tuning: Query optimization and index management
Power BI
1. Human resource analysis using MYSQL- performed a thorough analysis on the Human Resource Data Set using MySQL. Utilized JOINS, constraints, WHERE, GROUP BY, and ORDER BY functions. Identified factors affecting employee satisfaction levels and attrition rate
2. Research paper –Research Paper-Polarized Opinion Maker using ML Conducted data collection, feature extraction, and model training
3. Exploratory Data Analysis and First Innings Score prediction Using ML- Analyzed cricket match data to predict first innings scores using machine learning. Involved in data collection, data cleaning, data exploration, feature engineering, and model selection.
4. Research Paper – AI in Human Extraterrestrial Settlement on MARS
https://vidhyayanaejournal.org/journal/article/view/803
Reading , Sports, Dance