A dynamic Data Science and Analytics professional with 5 years of work experience, including nearly 4 years in Machine Learning Data at Amazon. Proficient in leveraging advanced tools and techniques such as Python for Data Science, SQL, and Tableau to extract actionable insights and drive data-informed decision-making. Expertise includes developing and deploying Regression Models, conducting Time Series Forecasting, and creating intuitive data visualizations to support strategic business objectives. Adept at solving complex business problems with a strong foundation in predictive analytics, statistical modeling, and data storytelling.
Full-time preparation.
Python for Data Science & Data Analysis
Tableau: Dashboard and report creation
Power BI:
SQL : Writing and optimizing complex queries,
Extracting, manipulating, and analyzing data
Predictive Modeling
Microsoft Excel
Regression modeling
Statistical modeling
Data Mining
Time Series Forecasting
Machine Learning Techniques
Mentoring
Leadership
Car Crash Analysis: Predictive Modelling
Skills and Tools used: Python for data science, Linear and Logistical regression, Linear discriminant analysis.
Forecasting of Wine sales: Time Series Forecasting
Skills and Tools used: Exploratory Data Analysis for Time Series Data, Exponential Smoothing Models, ARIMA/SARIMA Models, Moving Average Models.
Visualizing Insurance Claims using Tableau
Skills and Tools used: Business Intelligence, Tableau, Dashboard Designing
Statistical Methods for Decision Making
Skills and Tools used: Python, Descriptive Statistics, Exploratory Data Analysis, Framing an Analytics Problem
Programming Languages: Python for Data Sci & Data analysis, SQL: MySQL
Visualization tools: Tableau, Power BI: Data Visualization: Dashboards, Reports creation.
Statistical Methods: Predictive Analysis, Hypothesis testing, P.C.A.
Machine Learning: Classification, Regression, Cluster Analysis, Decision Trees.
Microsoft: General Office, Advanced Excel.