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AI Engineer with less than a year in Data Science & Machine Learning
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Data Science student with a strong foundation in Data Analytics, and Statistical Analysis. Skilled in Python, SQL, Pandas, NumPy, Scikit-learn, and data visualization, with hands-on experience in data preprocessing, exploratory data analysis (EDA), and predictive modeling. Capable of transforming complex data into actionable insights to support data-driven decision-making. Strong analytical, problem-solving, and teamwork skills, with a passion for leveraging data to address real-world challenges and drive business value.
RL Jalappa Institute of Technology
B. Tech · Data Science
August 1, 2022 – June 30, 2026
Narayana Junior College, Anantapur
Intermediate (MPC)
June 1, 2020 – May 31, 2022
Krugna Technologies
Artificial Intelligence & Data Science Intern
January 1, 2026 – April 1, 2026
India
Hand Gesture Recognition & Text Conversion (Assistive Technology)
June 1, 2026 – Present
Engineered a real-time hand gesture recognition system using CNN and Media Pipe to convert 26 ASL letters into text, enabling communication for non-verbal individuals. Achieved 94% gesture recognition accuracy across 10,000 training samples with a latency of <200ms per gesture. Deployed the application with a live webcam feed using OpenCV, supporting real-time inference on standard hardware.
Library Management System
June 1, 2026 – Present
Architected a relational database system using MySQL with normalized schemas (3NF) for managing books, users, and borrowing transactions. Wrote optimized SQL queries and stored procedures for issue/return tracking, reducing retrieval time by 40% compared to flat-file approaches.
Saavad – Multilingual Translation & Text Summarization
June 1, 2026 – Present
Built a multilingual NLP application using Hugging Face Transformers and Python to translate text across 10+ languages and generate abstractive summaries. Deployed a seq2seq model (mT5/mBART) for summarization, achieving a ROUGE-1 score of 0.42 on benchmark datasets. Designed an interactive UI using HTML/CSS/Flask enabling non-technical users to operate the pipeline with minimal effort.
Credit Card Fraud Detection – Machine Learning
June 1, 2026 – Present
Developed a fraud detection model using Random Forest on a highly imbalanced dataset (284K+ transactions) achieving 99.2% accuracy and 0.95 AUC-ROC score. Resolved class imbalance using SMOTE oversampling and threshold optimization, reducing false negatives by 18%. Conducted feature importance analysis identifying top 10 predictive features, improving model interpretability for business stakeholders.
Sentiment Analysis for Political Speeches
June 1, 2026 – Present
Developed sentiment classification using Naive Bayes and Logistic Regression (85% accuracy). Preprocessed text with TF-IDF, tokenization, and stop-word removal. Visualized sentiment trends using Matplotlib and Seaborn.
Data Science Workshop
Certified Participant
June 1, 2026 – Present
Business Analytics
Certified
June 1, 2026 – Present
Data Analytics
Certified
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate a strong interest in diverse applications of AI, from multilingual translation to assistive technology and fraud detection. This breadth of interest, combined with participation in hackathons, suggests an adaptable and curious individual who would likely thrive in a dynamic, innovation-driven environment. The focus on practical, impactful solutions aligns well with a results-oriented culture.
Soft Skills & Operational Fit
The candidate's resume highlights teamwork, leadership, communication, and problem-solving skills. Participation in hackathons and project exhibitions suggests a proactive and collaborative approach. The internship experience in an Agile environment further indicates operational fit for structured development processes.