8.4
CGPA (VIT-AP)
Major Projects
Chess Medals
Certifications
About Me
I'm a B.Tech CSE student at VIT-AP University, driven by a deep interest in Data Science, Analytics & Visualization, and Web Development.
I love working at the intersection of logic and creativity — whether it's uncovering insights from complex datasets or designing clean, functional web experiences. With a passion for learning, a goal-oriented mindset, and a hardworking attitude, I'm constantly exploring new technologies to build meaningful, real-world solutions.
Let's connect and create something impactful.
- Soft Skills: Good Communication, Goal-Oriented, Team Management, Leadership, Problem Solving & Analytical Skills
- Achievements: Silver medal in Chess Under-17 Zonals, Bronze medal in Chess Under-17 Central Zonals
- Certifications: Data Fundamentals (IBM Skills Build), Virtual Internship in Data Analytics
Education
VELLORE INSTITUTE OF TECHNOLOGY
CGPA: 8.4
NARAYANA JUNIOR COLLEGE
KESHAVA REDDY PUBLIC SCHOOL
CCPA: 10.0
Projects
Smart Industrial Monitoring System
Designed a real-time industrial monitoring system to detect fire or gas leaks in factory environments. Upon detection, the system triggers an alert and activates water sprinklers to prevent accidents and minimize damage, ensuring worker and asset safety.
- Technologies: Arduino UNO, Gas Sensor, Flame Sensor, Buzzer, Water Sprinkler, LCD, GSM Module, C/C++
- Challenges: Sensor calibration, timely communication, false positives
- Outcomes: Embedded systems, real-time alerts, safety optimization
Automated Waste Segregation System
Created an automated solution for real-time segregation of wet and dry waste. The system uses sensors to detect the type of waste and directs it into the appropriate bin, promoting cleaner waste management practices and environmental sustainability.
- Technologies: Arduino UNO, Moisture Sensor, Servo Motor, Ultrasonic Sensor, IR Sensor, C/C++
- Challenges: Waste type differentiation, servo alignment, detection speed
- Outcomes: Automation, environmental tech, sensor logic
IPL Match Outcome Prediction
Developed a machine learning-based system to predict the outcomes of IPL matches using historical data from 2008 to 2023. The solution helps teams enhance strategies, boosts fan engagement, and supports data-driven decisions in sports broadcasting and sponsorships.
- Technologies: Python, Jupyter, Pandas, NumPy, Matplotlib, Seaborn, Scikit-learn, TensorFlow/Keras, Tableau
- Models: Logistic Regression, Decision Trees, Random Forests, LSTM/RNN
- Outcomes: Data science workflow, ML/DL, sports analytics, visualization
Skills
Programming Languages
- Java
- Python
- SQL
Tools
- Power BI
- Excel
- Word
- Chat GPT
Frameworks & Libraries
- React.js
- Express.js
- Pandas
- NumPy
- Matplotlib / Seaborn
Certifications
IBM SkillsBuild Data Analytics Summer Internship
Successfully completed 6 weeks of the IBM SkillsBuild Summer Internship Program with CSRBOX on Data Analytics (24th June 2024 to 5th August 2024). Gained hands-on experience in data analytics, interpretation, and visualization through real-world assignments and masterclasses.
Oracle Cloud Infrastructure 2025 Certified Generative AI Professional
Recognized as an Oracle Certified Professional for Oracle Cloud Infrastructure 2025 Certified Generative AI Professional. Demonstrated expertise in Oracle Cloud and Generative AI technologies. Issued by Oracle University on July 7, 2025.