Vijaysinh Gaikwad

Vijaysinh Gaikwad

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  • AI Engineer & Team Lead with 4+ years of industry experience delivering Artificial Intelligence, Machine Learning, Computer Vision, OCR, Data Analytics, and Generative AI solutions for large-scale real-world applications.
  • Currently pursuing a Ph.D. in Information Technology & Business Analytics, with a Master's in Artificial Intelligence & Machine Learning, focusing on applied AI research and intelligent decision-making systems.
  • Experienced in designing end-to-end AI solutions, including data engineering, predictive modeling, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI Agents, Intelligent Document Processing (IDP), workflow automation, and scalable AI deployment.
  • Proficient in Python, SQL, Power BI, OpenCV, YOLO, LangChain, TensorFlow, Scikit-learn, REST APIs, Docker, AWS Cloud, Microsoft Azure, and scalable AI deployment, with expertise in automation, analytics, leadership, and mentoring cross-functional AI teams.
  • Professional proficiency in English, Hindi, and Marathi, with foundational knowledge of German (A1) and Japanese (JLPT N5), enabling effective collaboration in multicultural and global environments.

  • Experience

    Team Lead – Data Analytics

    JP Research India Pvt Ltd

    Led and mentored a multidisciplinary team of over 35 Data Analysts and AI/ML Interns across multiple projects, delivering enterprise-scale AI solutions in Artificial Intelligence, Machine Learning, Computer Vision, OCR, Data Analytics, Generative AI, and Intelligent Automation. Responsible for project strategy, technical leadership, stakeholder engagement, resource planning, and end-to-end delivery of scalable AI-driven solutions while ensuring high-quality execution and timely project completion.

    Architected and deployed scalable AI applications using Python, SQL, Power BI, OpenCV, YOLO, Large Language Models (LLMs), LangChain, Retrieval-Augmented Generation (RAG), Semantic Search, and Intelligent Document Processing (IDP). Designed automated ETL pipelines, OCR-based document intelligence platforms, predictive analytics models, AI-powered reporting systems, and intelligent workflow automation solutions that transformed unstructured data into actionable business insights, reducing manual processing by 60%+ while significantly improving operational efficiency, data accuracy, and business decision-making.

    Collaborated with IIT Delhi TRIP Centre, government authorities, and research organizations to develop large-scale AI and data analytics solutions focused on transportation and road safety. Led technical discussions, mentored AI teams, supported applied research initiatives, and presented strategic recommendations, analytical findings, and executive-level insights to senior leadership and key stakeholders for informed decision-making.

    Mar 2024 – Present (2 yr 7 mos)

    Associate Data Analyst

    JP Research India Pvt Ltd

    Contributed to data-driven decision-making through the analysis of large-scale, multi-source road safety datasets using Python, R, SAS, SQL, Microsoft Access, Excel, and Power BI. Performed data collection, preprocessing, validation, cleaning, and exploratory data analysis to identify risk patterns and support transportation and automotive safety insights. Automated repetitive data processing and reporting workflows using Python, improving efficiency and reducing manual effort. Assisted in creating dashboards, data visualizations, and analytical reports to support business and research objectives. Actively contributed to technical documentation, quality assurance, and client-facing deliverables while collaborating with cross-functional teams to ensure accurate and timely project execution.

    Dec 2022 – Feb 2024 (1 yr 3 mos)

    Education

    Doctor of Philosophy (PhD)

    Information Technology & Business Analytics
    Sri Balaji University, Pune

    Currently pursuing doctoral research focused on advanced analytics, data-driven decision-making, and applied research methodologies.

    Aug 2025 – May 2028

    Master of Computer Applications (MCA)

    Artificial Intelligence & Machine Learning
    Tilak Maharashtra Vidyapeeth, Pune

    Graduated with an A+ grade, with academic focus on machine learning algorithms, data analytics, and applied AI systems.

    Jul 2023 – Jun 2025

    Bachelor of Technology (B.Tech)

    Mechanical Engineering
    Nutan College of Engineering and Research, Pune

    Graduated with an A+ grade, developing a strong foundation in engineering principles, analytical thinking, and problem-solving.

    Jul 2020 – May 2023

    Skills

    Technical Proficiency
    • Programming Languages & Tools Python, SQL, R, SAS, Git, Jupyter Notebook, Visual Studio Code, Microsoft Access, Microsoft Excel
    • Libraries & Frameworks Pandas, NumPy, Scikit-learn, TensorFlow, Keras, OpenCV, YOLO, Matplotlib, Seaborn, NLTK, LangChain
    • Artificial Intelligence & Machine Learning Machine Learning, Deep Learning (CNN, RNN), Computer Vision, Natural Language Processing (NLP), Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI Agents, Agentic AI, Prompt Engineering, Predictive Modeling, Statistical Modeling, Semantic Search, Intelligent Automation
    • Computer Vision & OCR OpenCV, YOLO, Tesseract OCR, EasyOCR, Image Processing, Object Detection, Intelligent Document Processing (IDP), OCR Pipeline Development
    • Data Analysis & Visualization Exploratory Data Analysis (EDA), Data Cleaning, Feature Engineering, Data Validation, Dashboard Development, Power BI, Tableau, Data Visualization using Python & R
    • Data Engineering & Automation ETL Pipelines, Workflow Automation, Selenium, REST APIs, API Integration, Data Processing, Report Automation
    • Cloud & Deployment Microsoft Azure, Amazon Web Services (AWS), Docker, FastAPI, Cloud Fundamentals
    • GIS & Spatial Analytics Folium, Plotly, Geospatial Analytics, Spatial Data Analysis, Interactive Mapping
    • Leadership & Project Management Team Leadership, Mentoring, Stakeholder Communication, Agile Methodology, Project Planning, Technical Documentation, Client Collaboration, Technical Presentations

    Interests & Creative Work

    Beyond my professional work in Data Science and Analytics, I actively document my experiences, research, and learnings through travel storytelling, technical publications, long-distance riding, and applied research.

    Applied Research & Innovation

    Strong inclination toward applied research, experimentation, and data-driven innovation aligned with academic research and industry problem-solving.

    Research Work →
    Technical Writing & Publications

    Authored technical papers, research-oriented articles, newsletters, and analytical write-ups focused on data science, machine learning, and analytics.

    View Publications →
    Insights, Reflections & Knowledge Exchange

    Cross-domain insights and reflective perspectives developed through solo travel, field exposure, and applied research, emphasizing interpretation, contextual understanding, and learning beyond structured research outputs.

    Explore Insights →
    Travel Blogs & Solo Journeys

    Solo travel experiences across approximately 30% of India, documented through detailed travel blogs, visuals, and real-world observations.

    Read Travel Stories →

    Awards & Certifications

    • AI Design Thinking - Practical Tools for product Managers
    • Generative AI, Large Language Models (LLMs) & Prompt Engineering
    • Retrieval-Augmented Generation (RAG) & AI Agent Development
    • Computer Vision, OCR & Intelligent Document Processing (OpenCV, YOLO)
    • Research & Innovation Recognition for Applied AI & Data Analytics Projects
    • Participation & Contribution Certificates in AI, Machine Learning, and Analytics Workshops

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