Mohammed Ashraf Abdul Jaleel

+1-313-***-**** adhiiz@r.postjobfree.com https://www.linkedin.com/in/ajashraf Dearborn, MI EDUCATION

MASTER OF SCIENCE IN DATA SCIENCE EXPECTED GRADUATION: APRIL 2021 University of Michigan-Dearborn Dearborn, MI

Coursework: Data Structures, Big Data, Database Systems, Data Security and Privacy, Intelligent Systems, Operations Research, Pattern Recognition and Neural Networks, Natural Language Processing, Applied Regression Analysis. GPA: 3.60

BACHELOR OF ENGINEERING JUNE 2019

Osmania University Hyderabad, INDIA

Electronics and Communication Engineering GPA: 3.67 SKILLS

Databases: RDBMS, MySQL, PostgreSQL, NoSQL, Cassandra. Languages: Python, SQL, Core Java, R, MATLAB.

Operating Systems: Windows, Linux, UNIX.

Tools: Amazon Web Services (AWS), Scikit-Learn, Microsoft Office Suite, HDFS, Map Reduce, Apache Hive, Apache Pig, Apache Spark, Power BI, Unit Testing, CI/CD, Apache Kafka, Tableau, Apache Sqoop, Apache Oozie, ETL processes, Talend Open Studio, Minitab, QlikView, Apache Flume, Alteryx Designer, Google Analytics, Statistics, Data Ingestion, Data Modeling, Data Visualization, SAS. EXPERIENCE

Teaching Assistant Dearborn, MI

University of Michigan-Dearborn, College of Business September 2020 - Present

• Assist professor in-charge with invigilation and preparation of lecture materials for class of 50 students.

• Tutor students and clarify their queries regarding topics being taught in class.

• Responsible for grading assignments and exam scripts of students and provide them with feedback about their performance.

ACADEMIC PROJECTS

Hotel Recommendation System

• Performed Exploratory Data Analysis (EDA) on the input data, cleansing of data.

• Programmed Collaborative Filtering based Recommendation System to recommend hotels to users based on their previous hotel stay history.

• Recommended hotels with an accuracy of 76%.

Evaluating Differential Privacy in Machine Learning and Deep Learning

• Assisted teammates in setting up the environment to run Deep Learning algorithms.

• Executed the previous implementation of the algorithm and checked for flaws using brute force technique.

• Observed that differential privacy is not suitable when the dataset is large. Optimization of Employee Scheduling Mechanism

• Analyzed previous historical attendance data, employee versatility data provided and developed two different models for scheduling employees.

• Assigned employees based on historic attendance percentages, employee skillset, manager’s preference.

• Simultaneously updated the skills sheet and the attendance sheet to facilitate future assignments. Classification of Mushrooms

• Performed statistical analysis of the data set, removed outliers, adjusted data using tools such as NumPy, Pandas, Seaborn in Python.

• Trained models using Random Forest, SVM and replicated training of using Markov Chain Monte Carlo method and selected model using AIC, BIC selection techniques.

• Achieved highest classification accuracy of 86%. Data Structures

• Programmed an online “Blackjack” game along with unit testing of the classes. which takes multiple decks of cards and performs actions based on the value of cards in the player’s hand. Obtained a winning rate of 35% to 45% on different strategies after looping over 100,000 rounds and tabulated results.

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