Data Analyst with 3+ years of experience leveraging machine learning, statistical modeling, and advanced analytics to extract actionable insights and drive business growth. Skilled in Python, R, SQL, and Tableau, with hands-on expertise in exploratory data analysis, customer segmentation, and time series forecasting (ARIMA). Proven track record in developing predictive models, building interactive dashboards, and optimizing marketing campaigns for retail and financial institutions. Adept at applying data science techniques within analytics roles to deliver measurable impact and position for advanced data science responsibilities.
Programming & Scripting:
Python (Pandas, NumPy, Scikit-learn, Matplotlib, Seaborn, SciPy, Keras, TensorFlow), R
Analytical & BI Tools:
Tableau, R Shiny, Power BI, Jupyter Notebook, Databricks
Statistics & Data Analysis:
Probability Distributions, Hypothesis Testing, Chi-Square Test, ANOVA, A/B Testing, Statistical Modeling
Machine Learning & AI:
Regression, Classification, Time Series Forecasting, Feature Engineering, Model Selection, Natural Language Processing (NLP), Deep Learning
Database Management:
MySQL
Cloud Platforms:
AWS, Azure
Productivity Tools:
Microsoft Excel, PowerPoint, Word