Help & Supportcareers@gravityer.com
Data Science with 1+ years in Machine Learning & AI
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Passionate and motivated in Machine Learning and AI. Skilled in Python, NumPy, Pandas, Scikit-learn, Seaborn, Matplotlib, and Power Bi Tool. Eager to apply data-driven techniques to solve real-world problems and contribute to impactful decision-making while continuously learning and growing in a dynamic environment.
GL Bajaj Institute of Technology and Management, Greater Noida
B.Tech · Computer Science and Engineering
August 1, 2021 – June 30, 2024
Government Polytechnic – Saharanpur, Uttar Pradesh
Diploma · Computer Science and Engineering
August 1, 2017 – June 30, 2020
Object Detection Using TensorFlow
June 1, 2024 – June 1, 2026
Deployed YOLOv3 with TensorFlow integration for real-time, high-accuracy object recognition across 80 COCO categories. Engineered 320x320 processing with OpenCV DNN and NMS to deliver 30+ FPS on standard hardware. Utilized TensorFlow + OpenCV for lightweight, deployable real-time vision solutions across platforms.
View ProjectHouse Prediction System
June 1, 2024 – June 1, 2026
Designed an automated ML pipeline using ZenML to streamline data cleaning, training, and deployment for housing price prediction tasks. Performed imputation, outlier handling, and feature transformation to ensure robust data quality and improved model generalization on real estate data. Trained regression models with Scikit-learn, tracked experiments using MLflow, and deployed reproducible solutions using modern MLOps best practices.
View ProjectPDFAIAssistant
June 1, 2024 – June 1, 2026
Built a RAG-based QA system using LangChain, FAISS, and Google Generative AI to answer queries from uploaded PDFs. Implemented PDF parsing, text chunking, vector embedding, and semantic retrieval for context-aware document-based question answering. Deployed via Streamlit with secure API integration and real-time response interface, enabling practical AI-driven document analysis.
View ProjectC++
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate a strong interest and practical application in diverse areas of Data Science, including computer vision (Object Detection), traditional machine learning (House Prediction), and natural language processing/generative AI (PDFAIAssistant). This breadth of project experience, coupled with the stated eagerness to learn and grow, indicates a good cultural fit for a dynamic and innovation-driven environment. The focus on MLOps best practices in projects also suggests an understanding of reproducible and deployable solutions, which aligns with industry standards.
Soft Skills & Operational Fit
The candidate lists problem-solving, critical thinking, adaptability, communication skills, and time management as soft skills. While these are crucial for operational fit, there is no direct evidence from completed tests or work experience to validate these claims. The academic projects suggest an ability to complete complex tasks, which indirectly supports problem-solving and time management.