AI Engineer with less than a year in Machine Learning & AI automation.
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 Data Science & AI enthusiast with hands-on experience in Machine Learning, Data Analysis, Time Series Forecasting, and AI automation. Skilled in Python, LangChain, large language models, and building end-to-end AI-powered tools and agents. Eager to contribute enthusiasm, adaptability, and a builder mindset to dynamic teams.
IILM University
Bachelor of Technology · Computer Science Engineering
August 1, 2022 – June 30, 2026
Nalanda College
12th · Senior Secondary
N/A – Present
Vaishnav Technologies
Python & Data Science Intern
March 1, 2025 – July 1, 2025
India
Stock Market Prediction and Visualization using LSTM
June 16, 2026 – Present
• Built a deep learning LSTM model (TensorFlow/Keras) to predict stock prices from historical data. • Performed data preprocessing, feature engineering, and EDA using Python and Pandas. • Developed an interactive Streamlit dashboard for visualization of predictions and trends.
Electricity Consumption Forecasting using Prophet
June 16, 2026 – Present
• Developed a time series forecasting model using Facebook Prophet to predict electricity consumption. • Performed data cleaning, EDA, and feature engineering using Python, Pandas, and NumPy. • Evaluated model performance using MAE and RMSE metrics, enabling data-driven decision making.
AI Customer Support Chatbot with WhatsApp Integration
June 16, 2026 – Present
• Built an AI chatbot using Python and LLMs (GPT, Claude, Gemini) to handle FAQs and product queries automatically. • Integrated with WhatsApp Business API to respond to customer messages in real time. • Used LangChain for conversation memory so the bot retains context across multi-turn chat sessions. • Created an n8n workflow to route unresolved queries to a human agent, reducing manual response time. • Stored product FAQs in Pinecone vector store enabling semantic search using RAG and Prompt Engineering.
Python Programming
Let's Upgrade
July 1, 2024 – Present
Java Programming Fundamentals
Springboard
November 1, 2023 – Present
Cultural Fit Analysis
The candidate's projects demonstrate a proactive, self-driven approach to learning and applying AI technologies, which aligns with an innovative culture. The diversity of projects (chatbot, time series, stock prediction) indicates a broad interest in AI applications. However, as a student with limited professional experience, the depth of exposure to diverse team environments and corporate cultural nuances is likely limited. The focus on personal projects and an internship suggests a strong individual contributor mindset, which is valuable but needs to be balanced with team collaboration skills for a senior role.
Soft Skills & Operational Fit
The candidate's professional summary highlights enthusiasm, adaptability, and a builder mindset, which are positive indicators for operational fit. The project descriptions suggest an ability to work on end-to-end AI solutions, from data handling to deployment and integration. However, without direct interview data or peer feedback, assessing soft skills like teamwork, conflict resolution, or advanced problem-solving under pressure is limited.