Open to opportunities

Atri Gulati

@atrigulati

Message

Skilled data scientist specializing in machine learning and data analytics.

India

Message

What I'm looking for

I am looking for a role that challenges my analytical skills and offers opportunities for growth in AI and data analytics.

I am a recent graduate with a postgraduate degree in Data Science & AI from the University of Liverpool, where I achieved a distinction. My expertise lies in transforming complex data into actionable insights through data visualization and statistical analysis. I have hands-on experience in business intelligence and data science projects, utilizing tools like Python, SQL, and Power BI to enhance commercial performance.

In my current role as an AI Engineer at MMNovatech, I developed a smart chat assistant that significantly reduced flyer creation time and built a property estimation system that improved accuracy and efficiency. My previous experiences as an AI Developer Intern and Junior Data Scientist have equipped me with the skills to implement machine learning algorithms and statistical models that drive business decisions and improve user engagement.

Experience

Work history, roles, and key accomplishments

Current

AI Engineer

Current

MMNovatech

Mar 2025 - Present (3 months)

Developed a smart chat assistant using Node.js and LLMs, reducing flyer creation time by 90% through automated generation from MLS numbers. Engineered scalable APIs handling over 10,000+ monthly queries with 99.9% uptime, integrating LLMs and real estate data sources.

Node LLM API Development

AI Developer Intern

Storyvord

Aug 2024 - Dec 2024 (4 months)

Implemented the Langchain framework and Langraph architecture to automate the database retrieval process in PostgreSQL queries, increasing efficiency by 30%. Identified and resolved critical issues within automation functions, leading to a 25% increase in operational reliability.

Lang Chain PostgreSQL Automation Machine Learning Frameworks

Junior Data Scientist

Marks Technology and Consultancy

Jan 2020 - May 2022 (2 years 4 months)

Developed statistical models & A/B tests to evaluate UI/UX changes, using hypothesis testing (t-tests, chi-squared tests) and improving conversion rates by 20%. Applied Natural Language Processing (NLP) techniques (sentiment analysis, topic modeling) in Python to extract insights from customer feedback, influencing product roadmap decisions.

Statistical Modeling A B Testing Hypothesis Testing Machine Learning Pipelines Natural Language Processing

Education

Degrees, certifications, and relevant coursework

University of Liverpool

MSc in Data Science and AI, Data Science and AI

Grade: Distinction

Completed a Master of Science in Data Science and AI, focusing on core topics such as Python Programming, Math and Statistics, Data mining and visualization, Supervised learning, deep learning, Neural Networks, Natural Language Processing, Computer Vision, and Dissertation. Achieved a Distinction grade.