Sahil Nitnaware

Data Scientist | Data Analyst

Nagpur, MaharashtraData Science and Analytics
3roles
36skills
1education
2credentials

About

Data Analyst transitioning into Data Science with hands-on experience in Python, SQL, exploratory data analysis, statistical analysis, feature engineering, and supervised machine learning.

Experience

Data Science Intern

Fusion Software

Oct 2025 – Jun 2026

Performed exploratory data analysis on business datasets using Python, Pandas, and NumPy to identify trends, outliers, patterns, and data-quality issues supporting stakeholder decisions. Built and evaluated supervised machine learning models with Scikit-Learn using regression and classification techniques. Applied data cleaning, preprocessing, feature engineering, and statistical analysis to prepare reliable datasets and improve model performance.

System Engineer – Asset Infrastructure

I Source Infosystem Pvt. Ltd. (Client: Infosys)

July 2025 – Sep 2025

Managed the end-to-end IT asset lifecycle, including procurement, allocation, tracking, and retrieval, for a large enterprise client environment. Diagnosed, logged, and resolved infrastructure and asset-related tickets via ServiceNow while maintaining SLA compliance and accurate records.

Data Analyst Intern

Xceller IT Services

Jun 2024 – May 2025

Collected, cleaned, transformed, and preprocessed raw datasets using Python and SQL. Designed modular, reusable Python components for recurring data-processing and analysis tasks using object-oriented programming principles. Performed statistical and exploratory analysis using Pandas, NumPy, and Scikit-Learn to identify trends and generate actionable insights.

Education

Nagpur University

Bachelor of Science, Information Technology

2025

PER: 71%

Skills

PythonSQLPandasNumPyScikit-LearnMachine LearningData CleaningExploratory Data AnalysisStatistical AnalysisFeature EngineeringRegressionClassificationModel EvaluationPredictive ModelingMySQLPower BIExcelData VisualizationMatplotlibSeabornData PreprocessingReportingGenerative AILLMsRAGGoogle GeminiLangChainLangGraphFAISSHugging Face Sentence TransformersFastAPIREST APIsDockerGitGitHubLinux

Projects

Customer Churn Prediction

Developing an end-to-end supervised machine learning solution to predict customers at risk of churn using a telecom customer dataset. Performed business understanding, data profiling, cleaning, exploratory data analysis, statistical analysis, and feature engineering. Built a Logistic Regression baseline with categorical encoding and numerical feature scaling, then generated churn predictions and probability scores for unseen customers.

Enterprise RAG Agent

Architected a production-style Enterprise Retrieval-Augmented Generation application using FastAPI, LangGraph, LangChain, Google Gemini, and FAISS. Implemented a conversational AI agent with persistent memory, multi-step tool calling, and source-cited answers.