Jugal Lachhwani

AI Researcher

Ahmedabad, Gujarat, India0 mo experience

AI EnabledAI ML Practitioner

Key Highlights

Passionate about AI and Machine Learning.
2x National Hackathon winner.
Hands-on experience in data analytics.

Stackforce AI infers this person is a Data Analyst with a focus on AI and Machine Learning in diverse industries.

Contact

Skills

Core Skills

Data AnalyticsData Visualization

Other Skills

Data PreparationSciPyPythonPandasMatplotlibSeabornDatabase Management System (DBMS)LangGraphMCPTeamworkArtificial Intelligence (AI)Machine LearningBack-End Web DevelopmentAI AgentsLarge Language Models (LLM)

About

I am Jugal Lachhwani, an undergraduate student passionate about Artificial Intelligence, Machine Learning, and Backend Development. My journey so far includes building projects in AI agents, NLP, data analytics, and backend system Python, along with solving algorithmic challenges on LeetCode to sharpen my problem-solving skills. I aspire to grow as an AI researcher and developer, contributing to innovative solutions that create real-world impact. My long-term goal is to pursue higher education at top global universities, where I can deepen my expertise in AI/ML, work on cutting-edge research, and collaborate with inspiring mentors. 🔹 Interests: AI Agents, NLP, Backend Development, Data Science, Big Data 🔹 Skills: Python, DSA, Machine Learning, Data Analytics 🔹 Current Focus: Strengthening fundamentals in AI/ML and exploring research-driven projects I am always open to guidance, mentorship, and collaboration opportunities in the field of AI/ML to advance both my learning and contributions.

Experience

0 mo

Total Experience

Average Tenure

Current Experience

Isro - indian space research organisation

Research Assistant

May 2026 – Present · 1 mo · Ahmedabad · Hybrid

Samatrix consulting private limited

Data Analyst Intern at Samatrix.io

May 2025 – Jun 2025 · 1 mo · Remote

During my internship at Samatrix.io, I gained hands-on experience working as a Data Analyst across diverse domains. I explored real-world datasets, applied various data preprocessing techniques, performed in-depth exploratory data analysis (EDA), and built actionable insights to support business decision-making.
Highlights:
Worked on datasets from multiple domains such as healthcare, finance, and e-commerce.
Applied statistical techniques and data visualization tools (e.g., Python, Pandas, Matplotlib, Seaborn) to identify trends and patterns.
Improved my skills in data cleaning, feature engineering, and storytelling with data.
This internship helped solidify my foundation in the data analytics pipeline — from raw data to meaningful insights — and sparked my deeper interest in solving domain-specific problems using data.

Data PreparationSciPyData AnalyticsData Visualization