Samarth Sharma

Data Analyst | Data Scientist | AI & Machine Learning Enthusiast

Talent

GurgaonMember since July 6, 2026

PythonSQLPower BIScikit-learnLogistic RegressionFeature EngineeringExploratory Data Analysis (EDA)Data CleaningStatistical AnalysisProbabilityKPI TrackingBusiness Intelligence ReportingJoinsWindow FunctionsAggregationsPandasNumPyDAX

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PythonSQLPower BIScikit-learnLogistic Regression

About

Motivated and AI-driven Data Analyst and Data Scientist with a B.Tech in Data Science and hands-on experience applying Python, SQL, Machine Learning, and Power BI to solve real-world business problems. Demonstrated ability to build end-to-end AI/ML pipelines — from data cleaning and Exploratory Data Analysis (EDA) to predictive model development and interactive dashboard delivery. Built a customer churn prediction model achieving ~85% accuracy using Logistic Regression and delivered AI-assisted business intelligence dashboards that translate raw data into executive-ready insights.

Skilled in Natural Language Processing (NLP), statistical analysis, and data-driven storytelling. Seeking an entry-level Data Analyst or Data Scientist role to drive measurable business impact through AI and analytics.

Experience

Data Analytics Intern - YBI Foundation

(2025-08 - 2025-10)

YBI Foundation (Non-Profit AI & Data Science Education Organisation)

Analysed e-commerce datasets using Python and SQL — performing Exploratory Data Analysis (EDA) to identify customer behaviour trends, sales patterns, and business performance anomalies across large datasets.
Executed end-to-end data cleaning and preprocessing pipelines using Pandas and NumPy — handling missing values, outlier treatment, and feature normalisation to improve dataset quality before AI/ML model consumption.
Developed an interactive Finance Management Dashboard in Power BI — visualising KPIs, revenue trends, and financial performance metrics to support AI-driven, data-backed executive decision-making.
Generated actionable business insights from structured datasets — translating analytical findings into clear recommendations to support data-driven decision-making across business functions.