Data Analyst with less than a year in Python, SQL, and Machine Learning.
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Motivated B.Tech CSE (AI & ML) student with hands-on experience in Python, SQL, data analysis, and visualization. Proficient in Excel, NumPy, and Pandas for data wrangling; experienced with REST APIs, PostgreSQL, and full-stack development. Published IEEE researcher with a strong foundation in machine learning and a passion for deriving actionable insights from data. Eager to apply analytical and technical skills as a Data Analyst at Polluxa.
GITAM Deemed to be University
B.Tech · Computer Science & Engineering (AI & ML)
November 1, 2022 – June 1, 2026
GITAM University
ML Research Intern – Underwater Image Captioning
July 1, 2025 – Present
Visakhapatnam, Andhra Pradesh, India
LN Mills
Full Stack Developer & User Acquisition Intern
May 1, 2025 – June 1, 2025
Visakhapatnam, Andhra Pradesh, India
MaintAI – Predictive Maintenance System
June 1, 2026 – Present
Built an LSTM-based predictive model to analyze time-series sensor data and detect equipment faults with 85% accuracy. Used Python (NumPy, Pandas) for data preprocessing, feature engineering, and performance evaluation. Integrated FastAPI + Gradio for real-time data visualization and interactive reporting dashboards.
Retrieval-Augmented PDF Chatbot – Using Ollama & LangChain
June 1, 2026 – Present
Engineered end-to-end data pipeline: PDF ingestion → text chunking → vector embeddings → semantic retrieval using LangChain and ChromaDB. Applied data structuring and context-aware querying techniques enabling accurate, hallucination-reduced responses from large document corpora. Built an interactive Streamlit interface for data exploration and query-response visualization.
AI-Powered Interview Preparation System
June 1, 2026 – Present
Developed a full-stack AI application using RAG pipelines and multi-agent workflows to generate, retrieve, and evaluate structured data from LLMs. Designed REST APIs with FastAPI enabling scalable interaction between data layers and LLM-based inference services.
Introduction to Natural Language Processing
Infosys Springboard
June 1, 2026 – Present
Introduction to TensorFlow for AI, ML & DL
Coursera (DeepLearning.AI)
June 1, 2026 – Present
AI For Everyone
Coursera (DeepLearning.AI)
June 1, 2026 – Present
Google Data Analytics certification
June 1, 2026 – Present
Co-authored review paper published in IEEE Xplore
IEEE Xplore
July 1, 2025 – Present
Presented at the 7th International Conference on Artificial Intelligence and Speech Technology (AIST 2025)
7th International Conference on Artificial Intelligence and Speech Technology (AIST 2025)
July 1, 2025 – Present
Cultural Fit Analysis
The candidate's academic background in AI & ML, coupled with diverse projects ranging from predictive maintenance to AI-powered chatbots, indicates a strong interest in cutting-edge technologies and continuous learning. Participation in a hackathon and co-authoring a paper suggests a proactive and collaborative approach. The pursuit of the Google Data Analytics certification shows alignment with industry-standard practices for data analysis roles. The candidate's profile suggests a good fit for a dynamic, data-driven environment.
Soft Skills & Operational Fit
The candidate demonstrates strong learning agility through various certifications and academic projects. Problem-solving and data-driven decision-making are evident in project descriptions. Team collaboration is mentioned as a soft skill, and participation in a hackathon suggests experience in collaborative environments. The candidate's experience with REST APIs and full-stack development, while not directly a data analyst core skill, indicates a broader technical understanding that could be beneficial for integrating data solutions.