ATCHUTHA SAI KIRAN
*************@*****.*** — +91-939******* — linkedin.com/in/atchutha-sai-kiran-b74899233 PROFESSIONAL SUMMARY
Motivated Computer Science Engineering student specializing in Artificial Intelligence with hands-on experi- ence in machine learning, data analysis, and full-stack development. Currently pursuing advanced training in Data Science and Machine Learning at Scalar Academy. Strong problem-solving abilities with experience in fraud detection systems and business intelligence solutions. Seeking to leverage technical skills and analytical mindset in a software engineering role.
EDUCATION
Parul University, Gujarat June 2022 – May 2026
B.Tech – Computer Science & Engineering (AI Specialization)
• Focus on Artificial Intelligence and Machine Learning
• Relevant Coursework: Data Structures, Algorithms, ML, AI, Database Systems RGUKT, IIIT 2020 – 2022
Pre-University Course (PUC)
TECHNICAL SKILLS
• Programming Languages: C, Python, Java, JavaScript, HTML, CSS, Node.js
• Databases: SQL, NoSQL (MongoDB)
• Data Science & ML: NumPy, Pandas, Matplotlib, Scikit-learn, Machine Learning Algorithms
• Development Tools: Visual Studio Code, Git, Jupyter Notebook, Google Colab
• Business Intelligence: Power BI, Tableau
• Operating Systems: Linux/Unix, Windows
• Core Competencies: Artificial Intelligence, Machine Learning, Data Analysis, Web Development PROJECTS
Credit Card Fraud Detection System
Machine Learning Classification Project
• Developed a supervised learning model to identify fraudulent credit card transactions
• Implemented multiple classification algorithms to optimize detection accuracy
• Worked with imbalanced datasets and applied suitable sampling techniques Netflix Content Analysis & Business Intelligence
Data Analytics & Visualization Project
• Technologies Used: Python (Pandas, NumPy), SQL, Tableau
• Performed Exploratory Data Analysis (EDA) on Netflix datasets
• Analyzed content trends and viewer preferences to derive actionable business insights
• Created interactive Tableau dashboards for stakeholder presentations
• Identified optimization strategies for content acquisition and subscriber retention Visual Product Matcher
• Built a Visual Product Matcher using Python, OpenCV, and CNNs to match visually similar products with approximately 90% accuracy for e-commerce applications Yulu Case Study
• Performed EDA on Yulu bike-sharing data to analyze demand patterns using Python
• Applied statistical tests (ANOVA, t-test, Chi-square) to evaluate the effect of weather and seasonality on rentals
• Delivered actionable insights through data visualization and business recommendations CERTIFICATIONS
• SQL – Scalar Academy
• Exploratory Data Analysis (EDA) – Scalar Academy
• Generative AI – Parul University
• Prompt Engineering – Professional Certification
• Computer Networks and Internet Protocol – NPTEL
• Theory of Computation – NPTEL
LANGUAGES
• Native: Telugu
• Proficient: Hindi, English
ADDITIONAL INFORMATION
• Strong analytical and problem-solving abilities with attention to detail
• Excellent communication skills and ability to work in collaborative environments
• Passionate about leveraging AI/ML technologies to solve real-world business problems
• Active learner staying updated with latest trends in technology and data science