Python Assistant

Anuj Kaliraman

*************@*****.*** 814-***-**** https://www.linkedin.com/in/anujkaliraman/ EDUCATION

Master of Engineering Science in Industrial Engineering CGPA: 3.90 Lamar University, Beaumont, TX May 2020

Bachelor of Science in Energy, Business & Finance

The Pennsylvania State University, University Park, PA December 2017

• Minor: Energy Engineering

CERTIFICATION

Advance Data Science with IBM Specialization

• Fundamentals of Scalable Data Science: Apache Spark Data Science A-Z: Real Life Data Science

Machine Learning A-Z: Hands-On Python & R in Data Science Basics of Scrum, Agile and Project Delivery: Scrum study Certification In Depth Software Testing: Certification for training in software testing TECHNICAL SKILLS

• Programming Languages: R Programming, Python (Matplotlib, NumPy, SciPy, SkLearn, TensorFlow), MATLAB

• Data Mining: Classification & Clustering, Frequent Patterns, Association & Correlations, Prediction & Anomaly Detection

• Database: Relational Database, Normalization, Table Design, SQL, MS Access, KPI, Cloud Databases

• Machine Learning Algorithms: Regression, Artificial and Convolutional Neural Networks, Dimensionality Reduction, Principal Component Analysis, Reinforcement Learning, Deep Learning, Model Selection

• Software: Microsoft SQL Server, Visual Studio, MS Office (Microsoft Excel, PowerPoint), SAP, SAS, Tableau

• Statistics: Hypothesis Testing, Descriptive and Predictive, A/B Testing, ANOVA, Factor Analysis, Experimental Methods, Bayesian Analysis

WORK EXPERIENCE

Research Assistant (Python Development for Data Science Software) January 2019 – Present Data Science Research Lab, Lamar University, Beaumont, Tx

• Developed Python backend code for Data Mining for Air Pollution Prediction

• Wrote Python scripts for cleaning the data and finding the relationships between the multiple variables using the descriptive analytics using SQL queries

• Developed the predictive model in Python (NumPy, TensorFlow, pandas, matplotlib and seaborn) to predict the AQI using the SVM & Decision Tree algorithms

• Determined the correlation between the dependent variables and predicted the AQI with 90% accuracy

• Used Agile methodology and version control using JIRA Python Developer for growth analysis September 2017 – January 2019 SNPC Global LLC (Start-up), State College, PA

• Building and implementing the analytical model in Python for analyzing sales data and determining the association rules to find frequent item sets to increase sales and inventory management.

• Developed python backend code for diagnostic analysis by implementing the Apriori algorithm to determine rules, support and confidence

• Report writing, presenting new findings related to the sales patterns to management as per business needs Python Development Summer Intern May 2018 – August 2018 Foxmula, Bangalore, India (Remote)

• Writing Python scripts for data analysis and updating MySQL database.

• Data Mining and Manipulation

ACADEMIC PROJECT

Financial Analysis for Natural Gas Processing Plant January 2017 – May 2017 Global Management for the Earth, Energy and Materials Industries, Pennsylvania State University

• Analyzing all the factors and comprehensive Monte Carlo analysis and complete market analysis which concluded and recommended the plant with 2.2% higher NPV

LEADERSHIP & EXTRACURRICULAR

Graduate Assistant, Career and Professional Development, Lamar University April 2019 – Present Resident Assistant, The Pennsylvania State University May 2017 – August 2017 Student Manager, Auxiliary Services, The Pennsylvania State University November 2014 – December 2017 Social Chair, THON Committee, The Pennsylvania State University September 2015 – February 2016

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