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AI Engineer with less than a year in Machine Learning & Data Analytics
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AI/ML Engineer and Data Analyst with hands-on experience building production-level machine learning models, deep learning applications, and AI-powered automation pipelines. Skilled in designing and deploying Generative AI solutions using LLMs, Prompt Engineering, and AI Agents. Proficient in Python, TensorFlow, SQL, and Power BI, with expertise in leveraging AI development tools (ChatGPT, Google Gemini, GitHub Copilot, Google Cloud AI) to accelerate delivery of intelligent, real-world applications. Strong foundation in data analytics, statistical modeling, and business intelligence.
PSCMR College of Engineering and Technology
B.Tech · Artificial Intelligence and Machine learning
August 1, 2021 – June 30, 2025
Namekart
Software Engineering Intern
September 1, 2025 – March 1, 2026
India
Kulture Hire
Data Analysis Intern
September 1, 2024 – November 1, 2024
India
Gen Z Career Aspirations Analysis
June 1, 2026 – June 1, 2026
Conducted a data-driven study on career preferences and trends among Gen Z professionals. Performed data wrangling, feature engineering, and exploratory data analysis using Python and SQL. Built an interactive Excel dashboard to showcase key insights and trends in career aspirations. Applied statistical analysis and predictive modeling to understand emerging job preferences and industry demands. Presented findings to stakeholders, providing data-backed recommendations for career development programs.
Accenture North America Data Analytics and Visualization Job Simulation on Forage
May 1, 2025 – May 1, 2025
Completed a simulation focused on advising a hypothetical social media client as a Data Analyst at Accenture. Cleaned, modelled and analyzed 7 datasets to uncover insights into content trends to inform strategic decisions. Prepared a PowerPoint deck and video presentation to communicate key insights for the client and internal stakeholders.
Tata Consultancy Services ESG Job Simulation on Forage
May 1, 2025 – May 1, 2025
Completed a simulation involving sustainability consulting for Tata Consultancy Services. Assessed a client's sustainability needs. Completed a comparative analysis of potential TCS solutions. Developed a fitment matrix to present proposed solutions to address the client's needs.
YouTube Comments Sentiment Analysis
January 1, 2025 – April 1, 2025
Developed a deep learning model to classify YouTube comments into Positive, Negative, and Neutral sentiments with 97 percentage of accuracy. Processed and analyzed over 30,000 comments using YouTube Data API and custom preprocessing pipelines. Built an LSTM model in TensorFlow, incorporating text cleaning, tokenization, and padding. Created a Streamlit web app for real-time sentiment analysis from user-input YouTube URLs. Developed a Flask API backend for model serving and inference. Delivered sentiment visualizations, including word clouds and distribution charts, enhancing user insights.
Introduction to Generative AI
Google Cloud
June 1, 2026 – Present
Introduction to Large Language Models
Google Cloud
June 1, 2026 – Present
Introduction to Responsible AI
Google Cloud
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity, including sentiment analysis, career aspirations analysis, and job simulations in data analytics and ESG, indicates a broad interest and adaptability. Their academic background in AI/ML and certifications in Generative AI align well with an AI Engineer role. The internships, though future-dated, show a commitment to gaining practical experience in relevant fields. The breadth of skills across AI/ML, Generative AI, and data analytics suggests a good fit for dynamic, innovation-driven environments.
Soft Skills & Operational Fit
The candidate demonstrates strong problem-solving skills and adaptability, as evidenced by their data analysis internship and project work. Their participation in various workshops and hackathons suggests a proactive learning attitude and a willingness to collaborate. However, the psychometric test score is low, which might indicate potential areas for development in logical reasoning, work attitude, or stress handling, requiring further investigation.