In my three-year undergraduate program, I built a strong foundation in mathematical principles, including calculus, linear and abstract algebra, real and complex analysis, and metric spaces. This background enhanced my analytical skills and prepared me for advanced data analysis.
Additionally, I spent two years studying data analytics, covering topics such as statistics, probability theory, database management, machine learning algorithms, and introductory artificial intelligence. This experience sparked my passion for data analysis, as I enjoyed uncovering insights and creating predictive models.
I am in the second year of my Master's degree in Astronomy at the Indian Institute of Technology (IIT) Indore. My research focuses on "Emulating 21cm signal using transformers," which integrates astronomy and data science. I aim to use my expertise in these fields to contribute to data-driven astronomy and advance our understanding of the cosmos through data analysis and modeling.
Tech Skills : Python, R, SQL, Tableau
Python Libraries: Pandas, NumPy, Matplotlib, Seaborn, Streamlight, Plotly, Scikit-Learn
Data Skills: Data Cleaning, Data Visualization, Exploratory Data Analysis, Predictive Analysis (MLA), Web Scraping
MS Office : MS-Word, MS-Excel, MS-PowerPoint, MS-Power BI
Maths Skills: Probability, Statistics, Calculus, Algebra, Real and Complex Analysis, Mathematical Methods
Soft Skills: Presentation Skills, Communication Skills, Time Management, Problem Solving, Critical Thinking, Content Writing
- Machine Learning with Python: from Zero to GBMs by Jovian.ai
- Data Analytics with Python: from Zero to Pandas by Jovian.ai
- Artificial Intelligence by MyCaptain
- Data Analytics with Python by MyCaptain
- Data Analytics with Excel by Great Learning
- Introduction to SQL by Kaggle
- Power BI for Beginners by Simplilearn.
Achieved the highest rank of 708 among 290k+ Kaggle notebook experts
AIR 216 in IIT JAM Physics and joined M.Sc.Astronomy in IIT Indore