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Data Science with 2+ years in data pipelines, ML, and Python-based analytics stacks.
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Final-year Computer Science student at KC College, Mumbai. I have a strong interest in Data Science, Machine Learning, and NLP. Experienced in building end-to-end data pipelines and working with Python-based analytics stacks. Actively exploring LLM, vector databases, and transformer architectures. Passionate about solving real-world problems at the intersection of data and intelligence.
KC College
Bachelor in Computer Science · Computer Science
July 1, 2023 – Present
Quidich Innovation Lab Pvt Ltd
Data Annotation Intern
April 1, 2025 – July 1, 2025
Mumbai, Maharashtra, India
Manuel Steel Industries LLP
Accounts Executive
February 1, 2024 – March 1, 2026
Mumbai, Maharashtra, India
Real-Time Stock Market Streaming Pipeline
June 23, 2026 – Present
Designed and implemented an end-to-end real-time data pipeline using Apache Kafka and Spark Structured Streaming to process continuously arriving stock market data. Developed Kafka producers and consumers to simulate live data ingestion from historical datasets. Processed streaming data using Spark transformations and stored results in PostgreSQL for analytics. Deployed the complete pipeline on AWS EC2 (Ubuntu) to simulate production-style cloud architecture. Implemented a natural language query interface converting user prompts into SQL queries for database interaction.
View ProjectCrypto Trader Performance Analysis
June 23, 2026 – Present
Performed data ingestion, cleaning, and feature engineering on cryptocurrency trading datasets. Built predictive models using Random Forest to forecast trade profitability. Generated insights on trader behaviour across market sentiment conditions.
View ProjectAnalytixAI (Final Year Project)
June 23, 2026 – Present
Built a full-stack web application using FastAPI and MongoDB that allows users to upload raw business datasets (CSV/Excel) and instantly receive dynamic data visualisations and statistics. Developed an Automated EDA Pipeline. Engineered a highly efficient Pandas data pipeline that automatically sanitises data, detects anomalies, maps fields by domain (finance, sales, etc.), and generates downloadable, enterprise-ready PDF reports. Integrated LLM-Powered "Chat with Data" Intelligence Embedded the Google Gemini API to translate complex underlying data frames into contextual prompts, enabling a conversational AI interface where non-technical users can ask natural language questions about their datasets and receive predictive business insights.
View ProjectCultural Fit Analysis
The candidate's project diversity, ranging from real-time stock market analysis to cryptocurrency trading and a full-stack data analytics application, indicates a broad interest in applying data science to various domains. The academic project 'AnalytixAI' showcases initiative and the ability to work on a comprehensive solution. The internship at Quidich Innovation Lab aligns well with a data-centric role, demonstrating practical application of ML support. The 'Accounts Executive' role, while not directly technical, provides a unique perspective on business data and financial processes, which can be an asset in understanding business requirements for data science projects. The candidate's stated passion for solving real-world problems at the intersection of data and intelligence suggests a good cultural fit for an innovative data science team.
Soft Skills & Operational Fit
The candidate demonstrates strong problem-solving skills through complex project implementations like the real-time streaming pipeline and the LLM-powered data analysis tool. Their experience as a Data Annotation Intern shows attention to detail and a methodical approach to data quality. The Accounts Executive role, while not directly technical, indicates an ability to handle structured data and compliance-driven environments, which is valuable for data governance and understanding business context. The candidate's proactive exploration of LLMs and transformer architectures suggests a self-driven and adaptable learning attitude.