Harsh Milind DIxit
Harsh Dixit is a Computer Science and Economics student at Krea University with internship experience in data analysis, business intelligence, and AI-driven solutions. At Trent Ltd., he developed Power BI dashboards and streamlined data processes to aid strategic decision-making. At Ipsator Technologies, he contributed to building a chatbot solution for the tourism sector, and with Paschim Banga Khet Majoor Samity, he supported tea garden workers in resolving financial disputes.
Harsh is interested in analyst roles in business analytics, data analysis, and strategy, where he can apply his problem-solving skills through a data-driven approach.
Internship(Duration)
Ipsator Technologies Bengaluru
AI Intern (Onsite)
May 2025 – Present
● Developed an AI-powered Trip Planner Chatbot to deliver intelligent, conversational travel guidance across Indian cities, using LLMs and advanced NLP techniques for personalized and context-aware recommendations
● Implemented Retrieval-Augmented Generation (RAG) using embedding models and vector databases like Qdrant, Milvus, and Chroma to enable real-time semantic search and accurate response generation
● Contributed to a production-level solution targeted for integration into the Karnataka Tourism website, aligning chatbot capabilities with enterprise use cases in the travel and tourism domain
Trent LTD. Mumbai
Azure Data Engineer and Power BI Analyst Internship (Onsite)
May – July 2024
● Contributed to the Enterprise Data Warehouse (EDW) project for streamlined data integration and reporting
● Designed and implemented end-to-end ETL processes using Azure Synapse, Data Factory, MS-SQL, and Power BI
● Optimised data pipelines for migration, validation, and analytics, leveraging big data tools
Krea University
Research Intern – Energy Profiler| Faculty-Led Technical Research Internship (Remote)
May – July 2025
● Profiling HPC benchmarks to identify time and energy bottlenecks in compute-intensive operations
● Collecting and analysing system-level performance metrics using Linux tools and profilers
● Contributed to the project’s open-source GitHub repository as a core contributor
● Preparing to evaluate power consumption using an energy profiling framework
Paschim Banga Khet Majoor Samity, West Bengal
Impact Litigation Internship
May – July 2023
● Addressed labour rights by assisting 36 tea gardens' workers in gratuity and provident fund disputes
● Conducted on-site meetings to resolve legal issues and filed claims for financial redress
● Gained hands-on experience in grassroots activism and legal documentation
AI Intern (Onsite)
May 2025 – Present
● Developed an AI-powered Trip Planner Chatbot to deliver intelligent, conversational travel guidance across Indian cities, using LLMs and advanced NLP techniques for personalized and context-aware recommendations
● Implemented Retrieval-Augmented Generation (RAG) using embedding models and vector databases like Qdrant, Milvus, and Chroma to enable real-time semantic search and accurate response generation
● Contributed to a production-level solution targeted for integration into the Karnataka Tourism website, aligning chatbot capabilities with enterprise use cases in the travel and tourism domain
Trent LTD. Mumbai
Azure Data Engineer and Power BI Analyst Internship (Onsite)
May – July 2024
● Contributed to the Enterprise Data Warehouse (EDW) project for streamlined data integration and reporting
● Designed and implemented end-to-end ETL processes using Azure Synapse, Data Factory, MS-SQL, and Power BI
● Optimised data pipelines for migration, validation, and analytics, leveraging big data tools
Krea University
Research Intern – Energy Profiler| Faculty-Led Technical Research Internship (Remote)
May – July 2025
● Profiling HPC benchmarks to identify time and energy bottlenecks in compute-intensive operations
● Collecting and analysing system-level performance metrics using Linux tools and profilers
● Contributed to the project’s open-source GitHub repository as a core contributor
● Preparing to evaluate power consumption using an energy profiling framework
Paschim Banga Khet Majoor Samity, West Bengal
Impact Litigation Internship
May – July 2023
● Addressed labour rights by assisting 36 tea gardens' workers in gratuity and provident fund disputes
● Conducted on-site meetings to resolve legal issues and filed claims for financial redress
● Gained hands-on experience in grassroots activism and legal documentation
Projects & Work
Projects & Research Work
ETL Process for Data Integration (Cloud and Data)
● Designed and implemented ETL pipelines for data integration and reporting
● Technologies Used: MS SQL,Data Factory , Power BI
Fitness Management Chatbot (AI/NLP)
● Developed an interactive chatbot to handle queries related to class schedules, trainer assignments, and memberships for a fitness centre
● Integrated Gemini API for natural language understanding and vector-based search to provide intelligent, conversational responses
● Technologies Used: Python, FastAPI, Gemini API, SQLite, HTML/CSS, JavaScript
Facilities Directory Website (Software Development)
● Built a web app for local service search with an admin panel for real-time updates
● Provided students and residents easy access to verified local services, enhancing convenience
● Technologies Used: FastAPI (backend), Jinja2, HTML, CSS, Bootstrap (frontend), SQLAlchemy (database)
Air Quality Hazard Classification (Machine Learning)
● Built a classification model using Logistic Regression & Decision Trees to classify sites as ""Dangerous"" or ""Not Dangerous"" based on PM10 concentration and proximity to industrial areas
● Assisted in identifying high-risk areas, helping to take proactive pollution control measures
● Technologies Used: Python, Scikit-learn, Pandas, NumPy
ETL Process for Data Integration (Cloud and Data)
● Designed and implemented ETL pipelines for data integration and reporting
● Technologies Used: MS SQL,Data Factory , Power BI
Fitness Management Chatbot (AI/NLP)
● Developed an interactive chatbot to handle queries related to class schedules, trainer assignments, and memberships for a fitness centre
● Integrated Gemini API for natural language understanding and vector-based search to provide intelligent, conversational responses
● Technologies Used: Python, FastAPI, Gemini API, SQLite, HTML/CSS, JavaScript
Facilities Directory Website (Software Development)
● Built a web app for local service search with an admin panel for real-time updates
● Provided students and residents easy access to verified local services, enhancing convenience
● Technologies Used: FastAPI (backend), Jinja2, HTML, CSS, Bootstrap (frontend), SQLAlchemy (database)
Air Quality Hazard Classification (Machine Learning)
● Built a classification model using Logistic Regression & Decision Trees to classify sites as ""Dangerous"" or ""Not Dangerous"" based on PM10 concentration and proximity to industrial areas
● Assisted in identifying high-risk areas, helping to take proactive pollution control measures
● Technologies Used: Python, Scikit-learn, Pandas, NumPy