Vaishnavi Kolluri

[email protected] • +91 93906 66767

LinkedIn: linkedin.com/in/vaishukolluri03

PROFESSIONAL SUMMARY

Detail-oriented and motivated recent graduate with a strong foundation in SQL, Python, and web development technologies including HTML, CSS, and Bootstrap. Successfully designed and developed user-friendly web pages that enhanced user engagement by 30%. Proficient in data visualization tools such as Power BI and Excel, with a keen interest in leveraging data analytics to drive business insights. Eager to contribute analytical skills and technical expertise to a dynamic team in a data-driven environment.

WORK EXPERIENCE

IoT & Automation Intern

07/2025 - Present

SytiqHub Educational Services Pvt. Ltd.

• Designed and implemented IoT-based automation solutions integrating sensors, microcontrollers, and communication modules

• Gained hands-on experience with real-time data acquisition, device interfacing, and automation workflows in practical IoT environments

• Developed and tested automation logic to monitor and control devices, improving operational efficiency and reliability

• Understood end-to-end IoT system architecture and deployment by working with diverse IoT technologies and products

• Applied theoretical IoT concepts to real-world industrial use cases, strengthening problem-solving and system integration skills

• Collaborated with mentors to analyze system performance, troubleshoot hardware/software issues, and optimize automation outcomes

• Completed a 2-month AICTE-recognized industrial internship (ID: STU639ae888544351671096456), gaining industry-level expertise

EDUCATION

B.Tech in Computer Science & Engineering

01/2021 - 04/2025

Sri Vasavi Institute of Engineering and Technology GPA: 7.93 / 10

Intermediate – MPC

01/2019 - 03/2021

Sri Chaitanya Junior College GPA: 81.3%

SSC (10th Grade)

01/2018 - 03/2019

Sri Chaitanya School GPA: 8.8 / 10

SKILLS

Technical Skills: Python, SQL, JavaScript, HTML, CSS, MongoDB, DAX, Pandas

Soft Skills: Problem Solving, Adaptability, Team Collaboration, Attention to Detail, Critical Thinking

Tools: Power BI, Excel, Docker, AWS, Git, Postman

Other: AWS Certified, IoT Knowledge, Agile Methodology

PROJECTS

Spam / Fake Message Detection on Twitter using Machine Learning

Technologies: Machine Learning, NLP, Naive Bayes, Logistic Regression, Support Vector Machine, Decision Tree

• Built an end-to-end ML pipeline for Twitter spam detection covering data cleaning, text preprocessing, and feature engineering

• Applied NLP techniques including tokenization and stopword removal to enhance text representation quality

• Performed feature selection to reduce noise and improve model efficiency on large-scale datasets

• Trained and evaluated multiple classifiers: Naive Bayes, Logistic Regression, Support Vector Machine, and Decision Tree

• Conducted model comparison and hyperparameter tuning to optimize classification performance

• Analyzed model predictions to identify patterns in spam/fake messages, delivering actionable insights

• Achieved 82% accuracy, significantly improving detection of spam and fake content on social media

CERTIFICATIONS

AI & Machine Learning Internship

AWS Academy

Python Full Stack – NxtWave

IoT Industrial Internship – SytiqHub

SQL – NxtWave

HTML, CSS & Bootstrap – NxtWave

Power BI & Excel