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AI Engineer with less than a year in Python, Java, and SQL.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Detail-oriented and highly motivated Software Developer with a strong foundation in programming, data structures, and software development principles. Proficient in languages such as Python, Java, and SQL, with hands-on experience in developing web applications and solving real-world problems. Passionate about writing clean, efficient code and continuously learning new technologies to build scalable and impactful software solutions.
Rajiv Gandhi Proudyogiki Vishwavidyalaya
Bachelor of Technology · Computer Science and Engineering
August 1, 2022 – June 30, 2026
Devasthaly Vidyapeeth
Class XII (10+2) · Science Stream
N/A – May 31, 2022
Customer Feedback Chatbot
June 28, 2026 – Present
Developed an AI-based Customer Feedback Bot to collect and analyze customer reviews in real-time using Natural Language Processing (NLP). Implemented sentiment analysis to automatically classify feedback as positive, negative, or neutral for better business insights. Designed an automated response system to acknowledge customer queries and improve customer engagement. Built a structured data storage system to store feedback and generate actionable reports for decision-making. Improved customer satisfaction monitoring by creating a dashboard to visualize feedback trends and key performance metrics.
View ProjectCustomer Segmentation
June 28, 2026 – Present
Performed data cleaning, feature scaling, and exploratory data analysis (EDA) to understand customer patterns and improve clustering quality. Determined the optimal number of clusters using Elbow Method ensuring meaningful and interpretable customer segments. Visualized customer segments using Matplotlib and Seaborn to derive actionable business insights for targeted marketing strategies. Evaluated clustering performance using silhouette score and interpreted cluster profiles to support data-driven decision-making.
View ProjectSalary Prediction
June 28, 2026 – Present
Developed a machine learning model using Linear Regression to predict employee salary based on years of experience with high prediction accuracy. Performed data preprocessing and exploratory data analysis (EDA) using Pandas and NumPy to identify trends and clean the dataset. Implemented model training, testing, and evaluation using metrics such as R2 score and Mean Squared Error. Built an interactive web application using Streamlit to allow users to input experience and receive real-time predictions. Deployed an end-to-end ML pipeline integrating backend model logic with a user-friendly frontend interface.
View ProjectFoundations of CyberSecurity
Coursera
June 1, 2026 – Present
Introduction to Generative AI
SkillUP
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's projects show a good breadth of AI/ML applications, from predictive modeling to customer segmentation and NLP chatbots, which aligns well with an AI Engineer role. The personal nature of all projects and lack of team experience make it challenging to fully assess cultural fit, but the diversity of projects suggests a proactive learning attitude. The certifications in Cybersecurity and Generative AI indicate a commitment to continuous learning and staying updated with emerging technologies.
Soft Skills & Operational Fit
The candidate demonstrates a detail-oriented and highly motivated approach, as stated in the professional summary. Project descriptions indicate an ability to work on end-to-end solutions and a focus on actionable insights, suggesting good problem-solving and results orientation. The lack of professional experience makes it difficult to assess operational fit in a team or corporate environment.