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AI Engineer with less than a year in Generative AI, NLP & Cloud Analytics
AI & Data Science professional with a strong foundation in Data Analytics, Machine Learning, Business Intelligence, and Cloud Technologies. Skilled in transforming raw data into actionable insights through statistical analysis, data visualization, predictive modeling, and automation. Experienced in working across the complete data lifecycle, including data collection, cleaning, transformation, analysis, modeling, and reporting. Proficient in Python, SQL, Power BI, Excel, and data-driven problem solving, with the ability to identify trends, uncover business opportunities, and support strategic decision-making through meaningful analytics. Hands-on experience in developing interactive dashboards, automating reporting workflows, and translating complex datasets into clear and impactful insights for both technical and non-technical stakeholders. Technical expertise extends to Machine Learning, Artificial Intelligence, Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Prompt Engineering, and AI-powered automation solutions. Exposure to model development, feature engineering, data preprocessing, evaluation techniques, and deployment of intelligent systems designed to solve real-world challenges. Knowledge of cloud-based data architectures, ETL processes, data lakes, serverless computing, and scalable analytics pipelines enables the development of end-to-end data solutions that integrate analytics, machine learning, and cloud infrastructure. Passionate about leveraging data and AI to drive innovation, improve operational efficiency, and create measurable business impact. Seeking opportunities across Data Analytics, Business Intelligence, Data Science, Machine Learning, AI Engineering, and Data-focused roles where analytical thinking, technical expertise, and continuous learning can contribute to organizational growth and data-driven decision-making.
D.Y. Patil International University, Pune
Master of Computer Applications (MCA) · AI & Data Science
August 1, 2024 – June 30, 2026
D.Y. Patil International University, Pune
Bachelor of Computer Applications (BCA) · Cloud Computing
August 1, 2021 – June 30, 2024
Retail Sales Data Analytics Pipeline
June 3, 2026 – Present
Built a cloud-based retail analytics pipeline processing 920,000+ sales records for trend analysis and forecasting. Automated ETL workflows using AWS S3, Lambda, and Step Functions for data ingestion and transformation. Applied Linear Regression forecasting and visualized business insights through QuickSight dashboards.
Book Recommendation System
June 3, 2026 – Present
Developed a personalized recommendation engine using TF-IDF and Decision Tree models on 32,000+ book reviews. Engineered mood and genre-based text features to improve recommendation relevance and user preference matching. Achieved 84% recommendation accuracy through NLP-driven feature extraction and classification techniques.
Customer Sentiment Intelligence System
June 3, 2026 – Present
Built a sentiment analysis pipeline integrating social media APIs and BERT-based text classification models. Processed and analyzed 12,000+ user comments using NLP preprocessing and sentiment scoring techniques. Achieved 71% classification accuracy while generating automated sentiment insights from social media data.
AWS Certified Cloud Practitioner
AWS
January 1, 2026 – Present
Deloitte Data Analytics Job Simulation
Forage
August 1, 2025 – Present
Google Analytics Certification
March 1, 2025 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate a proactive approach to learning and applying diverse data science techniques, including NLP, machine learning, and cloud analytics. The certifications (Google Analytics, Deloitte Job Simulation, AWS Cloud Practitioner) show a commitment to continuous learning and industry relevance. The focus on AI and Data Science aligns well with roles requiring analytical rigor and innovative problem-solving. However, the lack of professional experience means cultural fit is primarily inferred from academic pursuits and certifications, which may not fully reflect workplace dynamics.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to translate technical concepts into business insights, as evidenced by the 'Retail Sales Data Analytics Pipeline' and 'Customer Sentiment Intelligence System'. The Deloitte Data Analytics Job Simulation certification suggests an interest in consulting and stakeholder communication. However, without direct work experience or behavioral assessment data, it's difficult to fully assess soft skills like teamwork, problem-solving under pressure, or direct communication effectiveness in a professional setting.