Welcome to my GitHub profile! I'm Dhanesh Gaikwad, a passionate Data Analyst and Machine Learning Enthusiast, currently pursuing my Masterβs in Data Science at RMIT University. I love transforming data into actionable insights and building intelligent solutions that solve real-world problems.
πΉ Innovative Thinker: Combining analytical skills with creativity to tackle complex challenges.
πΉ Lifelong Learner: Continuously exploring cutting-edge technologies, tools, and methodologies.
πΉ Team Player: Thriving in collaborative environments to create meaningful impact.
- Languages: Python, SQL, R, C
- Data Visualization: Tableau, Power BI, Excel, Matplotlib, Seaborn
- Databases: MySQL, SQLite, PostgreSQL
- Big Data Tools: Hadoop, Spark, Hive
- Machine Learning: Scikit-learn, TensorFlow, Keras
- Data Analysis & Visualization
- Machine Learning & AI
- Big Data Processing
- Database Management & Optimization
- Problem Solving & Analytical Thinking
- Advanced Deep Learning frameworks like TensorFlow and Keras
- Building and managing scalable Big Data pipelines
- Mastering Cloud Data Engineering tools and techniques
- Taxi Management System
π Built a Python-based application to optimize taxi bookings and allocation, enhancing efficiency with streamlined algorithms. - AI-Driven Job Search Platform
πΌ Developed a Flask-based platform with AI-powered job recommendations, boosting accuracy by 20%.
π Integrated interactive dashboards to visualize job trends using Tableau and Power BI.
πΈ Google Data Analytics Professional Certificate
πΈ IBM Machine Learning Professional Certificate
πΈ Professional Certificate in Machine Learning (Symbiosis)
π§ Email: [email protected]
π LinkedIn: linkedin.com/in/dhanesh-gaikwad
π» GitHub: github.com/dhanesh456
I believe data is the new oil, and Iβm here to refine it into impactful solutions that drive progress. When Iβm not coding, youβll find me exploring new tech, reading about AI innovations, or enjoying a good game of chess!
Feel free to explore my repositories, reach out for collaborations, or just drop a βHiβ if you share a love for data and technology! π