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AI Engineer with 1+ years in Gen AI, ML & Data Analytics
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Result-driven AI Engineer with expertise in GEN AI, ML, DL, Python, SQL, Power BI, and MS Excel, skilled in analyzing datasets, building predictive models, and delivering actionable insights. Experienced in developing dashboards and reports to support strategic business decisions, with a strong ability to present complex findings clearly to clients and business leaders.
Navayuga Radiance Senior Secondary School (CBSE)
Intermediate · Commerce
N/A – May 31, 2022
Navayuga Radiance Senior Secondary School (CBSE)
High School
N/A – May 31, 2020
University of Lucknow
BCOM · Commerce
N/A – June 30, 2025
TATA GEN AI POWERED DATA ANALYTICS
Data Analyst
February 1, 2025 – September 1, 2025
India
UPFLAIRS PRIVATE LIMITED
Data Science, ML & AI Intern
December 1, 2024 – March 1, 2025
India
TRIPPLE ONE SOLUTIONS
SQL Database Management & Power BI Analyst
August 1, 2024 – October 1, 2024
India
COGNIFYZ TECHNOLOGIES
Power BI Analyst
May 1, 2024 – July 1, 2024
India
CREDIT CARD FRAUD DETECTION
May 1, 2025 – July 1, 2025
Detected fraudulent credit card transactions with high accuracy using a deep learning-based binary classification model. Achieved 95%+ fraud detection accuracy, reducing false negatives with advanced preprocessing, and built a complete pipeline from data prep to model interpretation. Tools Used: Python, TensorFlow, Keras, Scikit-learn, Pandas, NumPy, Matplotlib, Seaborn. Techniques: ANN with Dropout, BatchNormalization, and class imbalance handling.
View ProjectINFOSPHERE – SMART DOCUMENT Q&A
March 1, 2025 – May 1, 2025
Developed a multi-file Q&A system (PDF, TXT, DOCX) enabling contextual query answering with 92%+ retrieval accuracy. Built an end-to-end AI pipeline with embeddings & FAISS, boosting contextual relevance by 30% and enhancing NLP document intelligence. Tools Used: Python, LangChain, FAISS, OpenAI Embeddings. Techniques: RAG, Recursive Text Splitting, Vector Similarity Search.
CROP RECOMMENDATION SYSTEM
December 1, 2024 – February 1, 2025
Developed a machine learning model to analyze real-time weather data and provide data-driven crop recommendations, optimizing farming efficiency and maximizing agricultural yield. Enhanced crop recommendation accuracy, boosting yield efficiency by 30% and achieved a silhouette score > 0.7 with KMeans clustering, reflecting strong cluster performance. Tools Used: Python, Pandas, NumPy, Matplotlib, Seaborn, Scikit-learn, Joblib. Techniques: KMeans clustering for crop selection optimization and silhouette analysis for model evaluation.
View ProjectE-COMMERCE MANAGEMENT SYSTEM
August 1, 2024 – October 1, 2024
Designed a SQL database for e-commerce, using queries and Power BI to improve sales, customer satisfaction, and inventory management. Developed SQL queries improving insights by 30% and built Power BI dashboards on sales, reviews, and supplier performance, enhancing data-driven decisions by 25%. Tools Used: MySQL for data storage and management, Power BI for creating dashboards.
INVESTMENT MODELLING DASHBOARD
May 1, 2024 – July 1, 2024
Analyzed and visualized investment data, providing actionable insights into investment behaviors, trends, and decision-making factors. Analyzed demographic and gender-based investment trends. Identified relationships between investment objectives and choices, boosting insights by 40%. Techniques: PowerBI, correlation analysis, segmentation, and performance optimization.
View ProjectCultural Fit Analysis
The candidate's academic projects and internships demonstrate a proactive approach to learning and applying AI/ML concepts. The diversity of projects (fraud detection, Q&A system, crop recommendation, e-commerce, investment analysis) indicates a broad interest and adaptability, which can contribute positively to a dynamic team environment. The focus on practical applications and measurable results (e.g., 95%+ accuracy, 30% yield efficiency boost) suggests a results-oriented mindset. However, all experience is academic or internship-based, which might require mentorship in a corporate setting.
Soft Skills & Operational Fit
The candidate's resume highlights soft skills such as Analytical Thinking, Communication Skills, Presentation Skills, Leadership, Collaborative, Team Player, Problem Solving Skills, Attention to Detail, and Multitasking. These skills are crucial for an AI Engineer role, especially in communicating complex technical concepts and collaborating within a team. The project descriptions indicate an ability to work through a complete pipeline, suggesting good operational fit for project execution.