Iβm a BCA student specializing in Data Science, passionate about turning raw data into meaningful insights and strengthening my problem-solving skills through hands-on projects.
I enjoy working across both programming and analytics, with a strong foundation in Python, Java, C, C++ and R, along with SQL for data handling.
I have practical experience in data visualization and analysis, using tools and libraries to explore datasets, identify patterns, and present insights effectively. My GitHub reflects my journey of continuous learning through academic work, coding practice, and real-world mini projects.
In addition to analytics, I have basic exposure to networking tools like Cisco Packet Tracer and Wireshark, helping me understand fundamental networking and troubleshooting concepts.
I enjoy designing using Figma and Canva, and Iβm currently working on college club-related projects.
Iβm continuously building my technical skill set and working towards becoming a Data Analyst.
- Analyzed customer behavior to identify patterns leading to churn
- Performed data cleaning, EDA, and visualization
- Used Pandas, NumPy, Matplotlib, Power BI/Tableau
- Explored historical F1 race and driver performance data
- Conducted EDA to uncover trends
- Built a predictive model for race winners based on qualifying position
- Focused on data storytelling and visualization
- Analyzed packets using Wireshark
- Visualised networks using Google Earth Pro
- Identified traffic patterns and anomalies
- Strengthened understanding of network protocols