Prospective data analyst with varied skill set in current data industry topics and procedures to make evidence-based, reliable predictions about the world. Strong believer that data story telling is crucial to relay key insights that are often hidden in multidimensional, complex machine learning models.
Course Practical Data Science
The first part of the project involves predicting the eligibility of the bank customers for a loan by using classification algorithms. The second part involves forecasting the stock prices for the next 24 months using time series.
Skills and Tools
Decision Trees, Random Forest, Time Series
Predicting the Boston house prices and eligibility of bank customers for a loanCourse Machine Learning
The first part of this project involves predicting the house prices based on the features of the locality using regression techniques. The second part involves predicting the loan eligibility of bank customers using classification algorithms to help the bank prevent potential losses, and focus more on eligible customers.
Skills and Tools
Linear Regression, Logistic Regression, kNN
Applying dimensionality reduction on the auto-mpg dataset and doing bank customer segmentationCourse Data Analysis & Visualization
The first part of this project involves exploring the auto-mpg dataset by applying dimensionality reduction techniques and visualizing the data in lower dimensions to extract insights. The second part involves segmenting the bank customers to help the bank upgrading the service delivery model and ensure that customers queries are resolved faster
Skills and Tools
PCA, Clustering, tSNE
Analyzing the marketing campaigns to help CMO devise the next strategyCourse Foundations for Data Science
This project aims to analyze marketing data and address some important business problems/questions related to customer demographics, product preferences, channel performances, etc.
Skills and Tools
Exploratory Data Analysis, Data Visualization, Statistics
Job Duties:
Created and established polished multimedia content in advanced mathematics, statistics, number theory, symbolic logic, calculus, vector analysis, SAT preparation, computer science, python, Pandas, NumPy, Matplotlib, Seaborn, Data Analysis
Courses Taught:
Probability/Statistics, Number Theory, Algebra and Trigonometry for Calculus, Computer Science, HTML, CSS, and Symbolic Logic
Course taught:
Developmental Mathematics which focused on introductory statistics, algebra, financial accounting, and probability to incoming freshmen and career professionals continuing their education
Using Databases with Python, University of Michigan, Offered through Coursera:
Skills Learned
Create, Read, Update, and Delete operations to manage databases in SQL
Basics of Object Oriented Python
Understand how data is stored across multiple tables in a database
Utilize the Google Maps API to visualize data
Python, Numpy, SciPy, MatPlotlib,