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AI-Focused Software Engineer and Data Scientist Trainee

Location:
Vadodara, Gujarat, India
Posted:
December 22, 2025

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Resume:

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



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