Engineer Python

Krishna Koti Keshva Srinivas

*** **** **, ********, ** PH: +1-860-***-**** LinkedIn ac82im@r.postjobfree.com

Graduate Student with 3 years of experience in delivering actionable business solutions through Predictive Analytics.

EDUCATION

University of Connecticut School of Business Hartford, CT, USA

Master of Science, Business Analytics and Project Management, GPA: 3.50/4.00 December 2019

Visvesvaraya Technological University Karnataka, India

Bachelor of Engineering in Information Science & Engineering, GPA: 8.88/10 May 2015

TECHNICAL SKILLS

Languages: SQL, Python (NumPy, Pandas, TensorFlow), R, C, C++, Java, Hive, Pig, Perl, Unix Scripting

Databases and OS: Oracle 11g, MySQL, Hadoop HDFS, PostgreSQL, Linux, Windows

Tools: Tableau, SAS JMP, SAS Enterprise Miner, MS-Excel, GitHub, SSIS, OpenCV, Spark, Keras, AWS, SSH

Statistical Analysis: Linear Regression, Logistic Regression, Clustering, Decision Tree, Boosting, Multivariate Analysis, Hypothesis Testing, Random Forests, Neural Networks, Unsupervised Learning, Deep Learning

ACADEMIC PROJECTS

Books Recommender System Python

Developed books recommender system in Python. Leveraged User-based collaborative filtering, Item-based collaborative filtering and Model-based collaborative filtering on a dataset containing 1.1M ratings of 270000 books

Face Detection System Python, OpenCV

Built a real-time face detection system using pretrained OpenCV face detector which utilizes the Single-Shot-Multi box Detector (SSD) framework with ResNet-10 Architecture as the base network.

Medical Appointment Analytics Python Tableau

Investigated medical appointment data to reduce patient no show and identify affecting factors. Solved class imbalance problem by SMOTE. Implemented Light GBM model and achieved AUC value of 76%

Travelers Case Competition 2018 SAS JMP, R

Built predictive model to classify insurance claim as fraudulent on historical claim data. Applied Gradient Boosting Classifier, Support Vector Machine Classifier to achieve AUC value of 79%

EXPERIENCE

University of Connecticut, Hartford, USA

Graduate Teaching Assistant- Big Data Analytics with Hadoop Jan 2019 - Present

Instructed and helped graduate students in acquiring correct understanding of technologies like Apache Hive, Pig, Hadoop HDFS and concepts like MapReduce, Recommender Systems.

Scientific Games Corporation July 2015-July 2018

Machine Learning Engineer

Analyzed Maryland lottery customer behavior and created Player Churn model. Utilized machine learning algorithms like Gradient Boosting, Decision Tree and Random Forest

Determined factors contributing player churn and came up with recommendations for player retention thereby reduced player churn rate by 8%

Created a dashboard in Tableau to provide executives an easy discernible view of business performance across different lottery states by visualizing KPIs

Utilized Tableau and SQL for reports, data analysis on fraudulent, blacklisted players of Lottery and effectively communicated with stakeholders

Redesigned existing method of generating business reports from database and implemented stored procedures in Oracle reducing manual efforts by 40%

Ideated and aided in design, development of an algorithm to generate unique coupons for lottery customers; optimized algorithm to generate 1 Million 16-digit coupon in 2 seconds slashing execution time by 75 folds

Led and mentored 25+ new joiners, peers on lottery domain and Python, SQL technologies

ACHIEVEMENTS AND EXTRA CURRICULARS

‘Employee of month’ for uplifting 20 employees work rate by 3%

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