My name is Soham Ghosh.
I am a dedicated and detail-oriented Data Analyst with a strong foundation in extracting actionable insights from complex datasets. I'm passionate about using data to solve real-world problems and support informed, strategic decision-making. With a natural curiosity and analytical mindset, I enjoy diving deep into data to uncover patterns, trends, and opportunities that drive business impact.
What excites me most is the growing synergy between Data Analytics and Gen AI. I actively explore how Gen AI can enhance analytical workflows, automate repetitive tasks, and unlock deeper insights through advanced modeling techniques. As I continue to grow in this field, I aspire to build a career at the intersection of data analytics and Gen AI—where innovation, continuous learning, and real-world impact go hand in hand.
Here are some of the works I've built and contributed to.
AI-powered tool designed to analyze GitHub repositories intelligently and answer questions about the repo content using a chatbot interface.
Tech Stack: Streamlit, Python, LangChain, Groq API, Vector DB, FAISS, HuggingFace Sentence Transformers, GitHub API, LLaMA3 via Groq
This GenAI-powered app analyzes your Resume and a Job Description to give: Match Score, Skill Gap Analysis, Resume Recommendations, Personalized Career Advice.
Tech Stack: LangChain, Groq LLM, Streamlit, PyMuPDF, dotenv
Stock Price & Volatility Forecasting Project. End-to-end time series modeling on Tata Motors using statistical & ML models. Accurate predictions, volatility estimation & business insights for trading and investment strategy.
Tech Stack: pandas, numpy, statsmodels, arch, xgboost, keras, yfinance, matplotlib, plotly, ARIMA, SARIMA, GARCH (EGARCH), XGBoost, LSTM
A comprehensive SQL-based exploration of a retail café's sales dataset. This project showcases how structured queries can uncover valuable business insights, mimicking the workflow of real-world data analysts and BI professionals.
Tech Stack: MySQL, DBeaver, SQL Data Analysis, Business Intelligence
This project presents an in-depth analysis of Airline Traffic Data for various Indian airlines in the year 2022. The objective is to derive actionable insights into flight operations, pricing, delays, and customer satisfaction — using Power BI and Excel as primary tools.
Tech Stack: Power BI, Excel, DAX
A summary of my academic journey.
University of Engineering and Management, Kolkata, West Bengal
Graduation: 2022 - 2026
Julien Day School, Howrah, West Bengal
Graduated: 2022
Some of my verified certifications and credentials.
Ready to start your next project? Let's work together!