Jithin N

Data Science Professional with 7+ years of experience, holding a Postgraduate degree in Data Science & Business Analytics from Austin Texas University, and a Bachelor's in Electronics and Communication Engineering. Certified in Microsoft Azure Generative AI (Great Learning) and completed an ML internship at WorldQuant University. Proficient in leading ML and Generative AI projects, with deep expertise in engineering data analytics. Skilled at deriving actionable insights from complex datasets, with a strong focus on innovation and continuous improvement. Eager to apply my skills in a dynamic, forward-thinking Data Science role.

• A/B Testing at WorldQuant University

Conducted an experiment to determine if sending reminder emails to applicants increases the likelihood of completing the admission exam.
Skills & Tools: Chi-Square Test, Odds Ratio, CDF, ETL, MongoDB, Exploratory Data Analysis (EDA)

• Volatility Forecasting in India

Developed a GARCH time series model to predict asset volatility. Acquired stock data via API, performed data cleaning, stored it in a SQLite database, and built an API to serve real-time model predictions.
Skills & Tools: GARCH Model, SQL, REST API, Walk Forward Validation (WFV), ACF & PACF Plots

• Air Quality in Nairobi

Skills & Tools: Linear Regression, Decision Tree, Random Forest, Boosting Techniques, EDA

• Earthquake Damage in Nepal

Skills & Tools: Clustering, PCA, Data Mining, K-Nearest Neighbors, Decision Tree

• RAG-based Chatbot

Developed a chatbot using a Retrieval-Augmented Generation system for accurate document retrieval and response generation.
Technologies: Mistral -Nemo, Streamlit

• Document Summarization

Built a tool for summarizing PDFs and Word documents using fine-tuned LLMs to generate concise summaries.
Technologies: LLaMA, PyTorch.

• AI Report Generation

Developed an automated report generator to extract business insights from datasets using fine-tuned LLMs.
Technologies: LLaMA, Tableau, Excel.

• Sentiment Analysis Tool

Built a sentiment analysis and summarization tool for customer reviews, providing actionable insights.
Technologies:  GPT, NLTK.

Applied Data Science Lab, Machine Learning - (World Quant University)