VBA, R, Python, MATLAB, SQL, C, C++, C#

Mohammed Wahaj Hanif

**** ****** ****, *** ***, Northridge, CA 913**-***-***- 0582 ********@*****.*** EDUCATION

Masters of Science in Engineering Management December 2016 California State University, Northridge CA

Courses: Project Management, Probability and Statistics, Engineering Innovation Management, Quality Management & Control, Operations & Research, Engineering Economics Cost Analysis, Leadership of Engineering Professionals, Lean Manufacturing Systems, Six Sigma Quality Engineering Bachelor of Engineering in Mechanical Engineering May 2013 Osmania University, Hyderabad, India

TECHNICAL SKILLS

Programming Languages VBA, R, Python, MATLAB, SQL, C, C++, C# Databases MySQL, MSSQL, Oracle, MS Access

Tools XLminer, Tableau, Lingo, Weka, MS Office, MS Project, SharePoint, Visual Studio, MS Visio PROFESSIONAL EXPERIENCE

Talwar Volvo India – Data Analyst January 2014 - July 2014

Worked as an intern as a data and market analyst involving robust data analysis for vehicle manufacturing firm

Analyzed data and created visuals using Tableau to compare units produced and sold in each segment

Performed regional comparison with competitors

Gained expertise on Tableau and Sage CRM

The Stitch Line – Demand Planner January 2013 - December 2013

Review historical sales trends, perform demand forecast and develop statistical forecast models to evaluate forecast re- sults to management to produce 4500 pieces per month

Worked with vendors in procurement of cotton fabric that reduced sourcing cost by 2%

Responsible for calculating optimum re- order points and economic order quantities to utilize maximum efficiency

Support Inventory Management in developing strategies on existing items, new products and product phase-outs

Managed and coordinated various processes for garment manufacturing between departments such as Procurement, Engineering, Production and Logistics for the firm. ACADEMIC PROJECTS

California State University Northridge, CA

August 2014 – December 2016

Crime Prediction for Chicago

Utilized machine learning algorithms to predict the probability of occurrence of a crime in the city of Chicago

Carried out data cleansing exercises on the dataset obtained to remove potential outliers and to reduce the data to an operable format

Used Tableau to interpret the data by creating visual representations.

Used the scikit-learn package in Python to apply the Naïve Bayes algorithm on the dataset to predict crime. Designing of a Database for a Drug Store

Created a Centralized database system for more effective and efficient running of the practice

Used ETL techniques to populate entries in the database and normalized the tables to eliminate data redundancy

Used stored procedures, triggers to initiate updates and carry out miscellaneous operations

Tested the database against complex DDL and DML queries Ethnicity Prediction for California State University

Performed Admission prediction of the students to be admitted using descriptive statistics

Analyzed the data using Tables, Hypothesis testing (Z-test) for GRE score estimation and Chi-Squared distribution for predicting Ethnicity

Created visual representations of the data to find potential outliers and analyze trends Evaluation of Energy production substitutes for Grenada

Performed systematic economic analysis to determine cost efficient energy resource for the island nation Grenada

Carried out the analysis using Before Tax Cash Flow (BTCF) and After Tax Cash Flow (ATCF)

Used Ranking method to analyze all alternatives to choose the best alternative

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