About me

I'm Vipul Singh, a results-driven AI and Data Science graduate from the Class of 2024 with a CGPA of 8.23. I'm passionate about transforming raw data into meaningful insights that drive decision-making and innovation.

I specialize in data analytics, machine learning, and generative AI, with hands-on experience using tools such as Excel, SQL, Power BI, Python, MySQL, GitHub, Langflow, Jupyter Notebook, VS Code, and PyCharm. My technical skills are matched by a strong problem-solving mindset and an eagerness to explore innovative data solutions.

I completed a 3-month internship where I worked on real-world data projects, applying analytical techniques and visualization tools to derive business insights. In addition to my technical experience, I also served as a mentor during Smart India Hackathon (SIH) 2023, where I guided teams in AI-based problem solving, showcasing my leadership and collaborative abilities.

I'm actively seeking opportunities in Data Analytics, Data Science, or Generative AI where I can apply my knowledge and grow with a team that values innovation, learning, and impact. I'm ready to contribute from day one with a blend of technical expertise and a forward-thinking attitude.

Daniel lewis
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Daniel lewis

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Resume

Education

  1. Moder Institute of Technology and Research

    2020 — 2024
    • CGPA: 8.23
    • Achieved 2nd Rank in Smart India Hackathon (SIH) 2023 at the national level.
    • Played a key role as Team Mentor, guiding the team in project development and final presentation.
    • Gained hands-on experience in AI, Machine Learning, and Data Science through coursework and real-world projects.

  2. Engineer's Point Sr. Sec. School

    2019 — 2020

    Passed Class 12th with specialization in PCM (Physics, Chemistry, Mathematics) with 62.50%.

  3. Ajeet Public School

    2018 — 2019

    Passed Class 10th with 67.50%.

Experience

  1. Success Lader Technologies (SLT) - Data Scientist

    2025 — Present

    Currently working as a Data Scientist at SLT, with a focus on practical applications of language models and data automation.

    Developed and deployed a custom LLM-based chatbot to handle domain-specific queries, improving user experience and response accuracy.

    Built a Retrieval-Augmented Generation (RAG) chatbot, integrating language models with real-time document retrieval for more context-aware conversations.

  2. Accenture North America Data Analytics & Visualization Simulation

    2024

    As a Data Analyst in this simulation, I advised a hypothetical social media client, leveraging data to uncover insights that would guide strategic decisions. My role involved:

    Data Preparation: Cleaned, modeled, and analyzed 7 datasets to identify key content trends.

    Insight Extraction: Analyzed data to uncover actionable insights that informed content strategy.

    Communication: Created a PowerPoint deck and video presentation to effectively communicate findings to both the client and internal stakeholders.

My skills

  • Python
  • MySQL
  • Machine Learning
  • Excel
  • Power BI

Certificates

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