MD AMER MUSTAFA
Seeking a challenging position in an esteemed organization where my analytical and technical skills can be effectively utilized to improve operations and contribute to the company’s and my career growth. Summary:
Good hands on techniques of Data Science using Python, Data analytics & Visualization using Excel, SQL and Tableau.
Good hands on exposure to Analytics techniques like Regression (linear), Classification(logistic, DT, RF), Forecasting (Time Series Analysis).
Good hands-on experience with Analytics tools including Python.
Good at communication and presentations skills.
Degree Name of the Institution University Percentage/CGPA Bachelor of Electronics & comm.
GNDEC, Bidar VTU 7.5
Guru Nanak PU College,Bidar Karnataka
Project: GALS modeling and verification of Communication circuits. Description: The objective of this project is to avoid complex structural problems such as deadlocks in a circuit.
Tools used: Verilog HDL and Xilinx ISE.
Analytics tools: Python, SQL, Tableau & Excel.
Time Series Analysis (ARIMA, SARIMAX)
Multivariate Regression Analysis (Linear &Logistic). Machine learning algorithms: Decision Trees, Linear Regression, Logistic Regression, Naive Bayes, K-Means, SVM, Nearest Neighbors, Random Forest, Bagging & Boosting. Deep Learning: Usage of ANN and CNN for analysis of structured and unstructured data. Data Science projects:
Project: Titanic: Predicting Heart Disease using Machine Learning. Problem Statement: Create a model that predicts the person having a heart disease. Solution: Based on Data Analysis some factors are identified from the data to build a model that predicts who were suffering a heart disease.
Tools & Techniques: Python & Logistic Regression.
Project: Blue Book for Bulldozers.
Business Problem: Develop a model to predict the prices of Bulldozers based on its configuration. Solution: Based on given data a regression model is built to predict the price. Tools & Techniques: Python & RandomForestRegressor. Project: Analysis of the sales of tractors.
Business Problem: To know the Tractor company sales for next 3 years Solution: Built a forecasting model which predicts the sales for next 36 months Tools & Techniques: Python & ARIMA.
Project: Resturant Food Reviews.
Business Problem: Build a model that predicts a given review is positive or negative. Solution: Bag of Words technique is used to do text mining of the given review. Tools & Techniques: Python & Naïve Bayes.
Project: HR Analytics.
Business Problem: Identify the reasons why employees why are likely to leave the company. Solution: Built a dashboard that identifies the employees who left the company and when. Tools & Techniques: Tableau.
Project: SnapChat Advertisement Review.
Business Problem: Analayse the advertisements given in Snapchat in various countries. Solution: Built a dashboard that analyses the various insights of these given advertisements.. Tools & Techniques: Tableau
Date ofBirth:17-Aug-1996 Languages: English, Hindi, Kannada. Gender :Male Marital Status: Single