CAREER OBJECTIVE
A highly motivated graduate with a Bachelor of Technology (Hons.) in Computer Science and Engineering, I have a comprehensive understanding of programming, software development, and emerging technologies, as well as excellent problem-solving and analytical skills. I am excited to learn about advanced topics such as cybersecuirty, artificial intelligence, machine learning, and data science through academic research and practical applications. My goal is to contribute to innovative ideas and make important contributions to both academic and professional environments in the ever-changing field of computer science.
Skills
Programming Languages:
C++, Python, Java, Bash, HTML, CSS, JavaScript
Tools and Frameworks:
Excel/Sheets, Tableau, Redhat Linux, MySQL, Git, React, Express.js, Node.js, PostgreSQL
Education & Experience
I am a B.Tech. graduate in Computer Science Engineering from Lovely Professional University with a CGPA of 8.06. I have hands-on experience through internships, including as a Data Analyst Intern at GrrowUp (2024), where I conducted data analysis and visualization, and as an SQL Analyst Intern at Celebal Technologies (2023), where I worked on database design and data insights. Additionally, I completed a Cybersecurity Internship at Splen Technologies (2022), developing keylogging and phishing simulations to raise cybersecurity awareness.
Sumary
Sai Dath S
- Hyderabad, India
- +91 8106817945
- saidath077@gmail.com
Education
Bachelor of Technology (B.Tech.) in Computer Science Engineering (Honours)
2020 - 2024
Lovely Professional University, India
CGPA: 8.06
Senior Secondary
2018 - 2020
Nano Junior College
Percentage: 80.7%
Secondary
2018
Johnson Grammar School
Percentage: 70.6%
Experience
GrrowUp
June 2024 - August 2024
Data Analyst (Summer Intern)
- Conducted data analysis: dataset exploration, cleaning, transformation, and validation.
- Analyzed datasets and visualized data to derive actionable insights
Celebal Technologies
June 2023 - August 2023
SQL Analyst (Summer Intern)
- Worked on a large football database project, including designing an ER diagram and analyzing player statistics and performance metrics.
- Extracted meaningful insights from datasets and provided actionable recommendations.
Splen Technologies
May 2022 - July 2022
Cybersecurity Training (Summer Training)
- Developed a keylogger which logs all the keystrokes and shares them through mail.
- Crafted a phishing email simulation to raise awareness of one of the most common threats organizations today face.
Portfolio
I have earned industry-recognized certifications in cybersecurity and software development, including Redhat Linux (RH124 & RH134), Cyber Incident Response, and Penetration Testing, along with completing the Cybersecurity Virtual Experience Program by Mastercard and Forage. In addition, I have published a research paper on Machine Learning, showcasing my ability to dive deep into advanced topics. My coursework on Data Analysis and Web Development from Coursera further strengthens my skill set. I also have hands-on experience in Frontend Web Development (META) and Swift iOS Programming (UDEMY), equipping me to build robust, data-driven applications and cutting-edge digital solutions.
- All
- Internships
- MOOC
- Virtual Programs & Research Publication
Projects
Language Identification Using Machine Learning on Social Media Text
Domain: Artificial Intelligence, Machine Learning
Developed a Machine Learning-based Language Identification System: Built an LSTM-based deep learning model for identifying languages in social media text (tweets, posts, etc.), achieving high accuracy in detecting multiple languages and ensuring efficient data preprocessing.
Created a Full-Stack Web Application for Language Identification: Designed and deployed a Flask-based web application that integrates the trained language identification model. The app allows users to input text and receive real-time predictions, with a clean and responsive UI using HTML, CSS, and Bootstrap.
View on GitHubThe Prediction of Chronic Kidney Disease using Machine Learning
Domain: Artificial Intelligence, Machine Learning
Developed a Machine Learning-based Chronic Kidney Disease (CKD) Prediction System: Utilized algorithms like Random Forest and Decision Trees to predict CKD based on medical parameters, achieving high accuracy and ensuring robust data preprocessing and feature selection.
Created a Full-Stack Web Application for CKD Prediction: Designed and deployed a Flask-based web application with a user-friendly interface to input medical data, integrated machine learning models for real-time predictions, and used Bootstrap for responsive and aesthetically pleasing UI.
View on GitHubFitbit Data Analysis
Domain: Data Analysis
Performed comprehensive data analysis on Fitbit user activity and sleep patterns using Python (pandas, numpy), uncovering key trends in step count, distance, and sleep quality to provide actionable health insights and recommendations.
Visualized Fitbit metrics such as total steps, active distance, and sleep data using matplotlib and seaborn, creating clear, interpretable graphs to highlight correlations and patterns, aiding in data-driven wellness improvements.
View on GitHubContact
Feel free to reach out if you have any questions, opportunities for collaboration, or if you want to hire me! I'm always open to new ideas and excited to collaborate on innovative projects.
Location:
Hyderabad, India
Email:
saidath077@gmail.com
Call:
+91 8106817945