CAREER SUMMARY:

Strategic, multidisciplinary Data Analyst with an eye for innovation and analytical perfection. Combining my expertise and applied mathematics background in such areas to deliver the best creative data visualizations with perfect approximation algorithms. Adept experience collecting, cleaning, analyzing, and making meaningful stories out of the data with the best tools available.

AREAS OF EXPERTISE:

• Data and Quantitative Analysis
• Decision Analytics
• Predictive Modeling
• Data - Driven Personalization
• KPI Dashboards and BPI Plans
• Big Data Queries and Interpretation
• Data Mining and Visualization Tools
• Machine Learning Algorithms
• Business Intelligence (BI)
• Research, Reports, and Forecasts

TECHNICAL SKILLS:

Statistical Analysis: R

Business Intelligence Software: Tableau

Databases: MySQL, MongoDB

Advanced Excel Functions: Pivot Tables, VBA Scripting

Fundamental Statistics: Modeling, Forecasting

Python Programming: Python, Numpy, Pandas, Matplotlib, API Interactions, Confidential Mining

Web Visualization: HTML, CSS, Bootstrap, Dashboarding, JavaScript, D3.js, Leaflet.js

Big Data: Hadoop, MapReduce, MRjob, Spark

Natural Language: Processing, N-Grams, Naïve Bayes

Machine Learning: Neural Network, Convolutional Neural Network, Recurrent Neural Network, Decision Trees, K-Nearest Neighbors, Support Vector Machine, Grid Search, Keras, K-Means

PROFESSIONAL EXPERIENCE:

Confidential

Tools: Used: Python, Pandas, Jupyter Notebook, Matplotlib. Sklearn, Keras, Machine and Neural Network Tools

Responsibilities:

• Applied Neural Network Machine Learning to predict the gender of a voice using acoustic properties of the voice and speech.

Confidential

Tools Used: JavaScript, Python, HTML, CSS, Bootstrap, Flask API, SQLite, Sqlalchemy

Responsibilities:

• Used Flask to design an API for the dataset and to serve the HTML and JavaScript required for the dashboard page. SQLite database file and Sqlalchemy inside of the Flask application code was used for the database as JSON file format.

Confidential

Tools: Used: JavaScript, HTML, CSS

Responsibilities:

• Wrote a code that creates a table dynamically based upon the dataset collected.
• Users to search through the table for specific pieces of information.

Confidential

Tools: Used: Python, Numpy, Pandas, Jupyter Notebook

Responsibilities:

• Over 35k students’ performances were analyzed from 15 different schools. Top, bottom performing schools diagnosed with the reasoning by charts, tables.

Confidential

Tools: Used: MySQL

Responsibilities:

• Formulated a query to program total sales by each store and staff by type of the movies.
• Most frequently rented movies, top genres of movies that were detected.

Confidential

Tools: Used: Advanced Excel, Pivot Tables

Responsibilities:

• Diagnosed and analyzed a database of 4,000 past projects in order to uncover any hidden trends for being a successful or unsuccessful Confidential .

Confidential

Tools: Used: Python, API interactions, Matplotlib, Numpy, Pandas

Responsibilities:

• Programmed a general python script by using Twitter API to call news organizations 100 last tweets.
• Analysis saved as Confidential displayed as matplotlib graphs.