**MANASA KALVACHERLA**
+1 940-843-3289 | manasakalvacherla8@gmail.com | 200 S Bonnie Brae, TX 76201
LinkedIn: MANASA KALVACHERLA

### **EDUCATION**
**Master’s in Computer Science**, University of North Texas, Denton, TX (May 2024, GPA: 3.8)
*Coursework:* Foundations of Software Engineering, Computer Networks, Machine Learning, Software Development

**Bachelor’s in Computer Science**, Sumathi Reddy Institute of Technology, Warangal, India (Jun 2022)
*Coursework:* Artificial Intelligence, Data Structures, Computer Networks, Programming Languages

### **SKILLS & CERTIFICATIONS**
**Languages:** C++, C, Java, Python, HTML, CSS, XML, JSON, JavaScript, Node.js, TypeScript, SQL, C#
**Frameworks:** React Native, .NET, SQL, Scikit-Learn, React JS, Angular JS, NoSQL
**Tools:** DevOps, CI/CD Pipeline, Machine Learning, AWS, Cloud Computing, Git, RESTful API
**Soft Skills:** Communication, Problem Solving, Attention to Detail, Teamwork, Time Management
**Technical Skills:** SDLC, Algorithm Design, Data Structures, Software Testing, API Development
**Certifications:** AWS Certified Cloud Practitioner, Technical Support Fundamentals (Coursera)

### **EXPERIENCE**
**Teaching Assistant (Graph Theory Course)** – University of North Texas (Jan 2024 – Present, Denton, TX)
- Analyzed complex networks using mathematical principles and discrete mathematics.
- Implemented graph algorithms (shortest path, network flow, traversal) in Python, Java, and C++.

**Program Analyst Trainee** – Cognizant Technologies (Jan 2022 – May 2022, Hyderabad, India)
- Trained in Java, C, AWS, and Python while working on real-world software projects.
- Collaborated in teams to enhance communication and organizational skills under tight deadlines.

**Associate Software Trainee** – Purple Hirez (Jan 2021 – Dec 2021, Hyderabad, India)
- Developed Hadoop and Java solutions for large-scale data analysis using SQL.
- Designed data-driven solutions to meet client business requirements.

### **PROJECTS**
**Book Store App** – Django, Python, PostgreSQL, HTML, JavaScript
- Built a CRUD application with user authentication, PostgreSQL backend, and interactive frontend.

**Hateful Meme Detection (NLP)** – Python, Machine Learning, Visual BERT
- Developed ML models (TF-IDF, SVM, Naive Bayes, Visual BERT) for offensive content detection (70% accuracy).

**Online Shopper’s Intent Prediction** – Python, KNN, Logistic Regression, Random Forest
- Led a team to achieve 90% accuracy in purchase intent prediction using preprocessing and model selection.

**Email Filtering Using AI** – Python, Logistic Regression, Decision Trees
- Classified spam emails with 91% accuracy using logistic regression and decision tree algorithms.

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