To seek and maintain full-time position that offers professional challenges utilizing interpersonal skills, excellent time management and problem-solving skills.
Work History
Intern
Machine Learning With Internshala
Enhanced intern productivity by assisting with project coordination and providing ongoing support.
Streamlined office processes for improved efficiency and time management through regular organization and filing.
Contributed to a positive team environment by collaborating with fellow interns on group projects and presentations.
Supported staff members in their daily tasks, reducing workload burden and allowing for increased focus on higher-priority assignments.
Successfully completed a 6-week internship on Machine Learning from Internshala. During the internship I focused on topics related to
python for Machine Learning, Machine Learning Life Cycle, Data Exploration and Manipulation, Evaluation Metrics, K-NN, Selecting the
right model, Linear Regression, Logistic Regression, Decision Trees, Feature Engineering, Basics of Ensemble Models, Random Forest and
Clustering Modules.
Education
Master's - Info Systems & Tech
University Of North Texas
12.2023
Bachelors - Electronics And Communication Engineering
Osmania University
07.2021
Skills
Microsoft Office Word
Microsoft PowerPoint
Microsoft Excel
Data Mining
Software Development Life Cycle (SDLC)
Python Programming
Machine Learning
SQL Databases
Tableau Software
C, C, JAVA
Cloud Computing
DBMS
Accomplishments
Certification for Basics of Java
Tableau from Coursera
Published IEEE paper on the Memory-Based Hardware Architectures to Detect CLAMAV Virus Signatures with Restricted Regular Expression Features
Certified in cloud computing course from Coursera
Projects
Memory-Based Hardware Architectures to Detect CLAMAV Virus Signatures with Restricted Regular Expression Features
The project involves implementing a single-chip hardware virus detection engine using an information reduction approach based on the Clam AV database. It transforms byte-oriented matching into token-based matching with dedicated hardware units, efficiently handling complex regex patterns for effective virus detection.
Smart Survillance System
This innovative project aims to enhance border and compound surveillance using a modular design with Raspberry Pi, PIR sensors, and a GSM module. The system detects motion, sending real-time alerts and images to a control room, making it a smarter solution for large unmanned areas.
Timeline
Intern
Machine Learning With Internshala
Master's - Info Systems & Tech
University Of North Texas
Bachelors - Electronics And Communication Engineering
Waste Classification Using Machine Learning Model at Using Machine learning and Deep LearningWaste Classification Using Machine Learning Model at Using Machine learning and Deep Learning
Store Manager at The Empowered Forecast Football League (EFFL) Project Successfully Used Machine Learning to Predict Football Match Outcomes. By Combining Models Like.Store Manager at The Empowered Forecast Football League (EFFL) Project Successfully Used Machine Learning to Predict Football Match Outcomes. By Combining Models Like.
MEDICAL INSURANCE PREMIUM PREDICTION ML MODEL at Python(NumPy, Pandas, Scikit-learn), Machine LearningMEDICAL INSURANCE PREMIUM PREDICTION ML MODEL at Python(NumPy, Pandas, Scikit-learn), Machine Learning