MANOHAR BOORLU

Kansas City, MO ● Open to relocation ● 816-***-****

github.com/manoharboorlu ● admx89@r.postjobfree.com A highly passionate data scientist with over two and half years of work experience who believes that data is the most valuable resource for the growth of a company. I am skilled in machine learning, problem solving, predictive analytics and programming to perform experiments on data and bring out the insights to tell a strong story with it! SKILL STACK

Languages : Python, R

ML Library : TensorFlow, PyTorch, Pandas, NumPy, Keras, scikit-learn Tools : AWS, GCP, Tableau, Spotfire, Kafka, Talend (ETL), Power BI Database : SQL, Oracle, PL/SQL

WORK EXPERIENCE

Data Scientist - Merck & Co. Sep 2019 – Present

• Multivariate Time Series Forecasting and Predictive Research of $4 Billion sales, drilled down to deep levels of product hierarchy, considering external factors that influence the sales, and creating what- if forecast to tweak external factors and observe their effect on sales.

• Developed a Customer Churn analysis and prediction model and performing targeted marketing and promotions to those customers.

• Clustering and Classification of Sales reps based on sales with effective location deployment and targeted marketing.

• Market Basket Analysis and distributor buying analysis to find interesting patterns in product purchases and suggest marketing and product grouping programs based on location/seasonality. Jr. Data Scientist - Unified Government of Wyandotte County Feb 2019 – Aug 2019

• Analysis and classification of crime data to locate the areas, time, and type of crime to better predict the likelihood of happening a crime and take necessary precautions.

• Performed analysis on historical data and suggested location-based predictive policing and medics. Data Scientist Intern - Real Quantum Oct 2018 – Jan 2019

• Initiated and designed a generalized relational database schema to fit the largely incoming unstructured real estate data from hundreds of counties and used data wrangling methods.

• Migrated data with 40 million data points to PostgreSQL using ETL tool (Talend) and AWS Redshift.

• Implemented machine learning concepts of regression, clustering and time series forecasting using Python that brought out valuable insights out of the real estate data to focus on growing locations. Software Engineer Intern - Chain of Trust Technologies Aug 2018 – Oct 2018

• Debugged around 60,000 LOC and logged around 20 issues during the pre-release testing of the software.

• Fixed the issues using functional programming approach with python. PROJECTS AND PUBLICATIONS

Parking Availability Forecasting Model (Time Series Forecasting) – Master’s Research & Thesis (IEEE Publication)

• Performed data cleaning and pre-processing on 1M rows of historical raw data from parking sensors.

• Trained and tested ML models like LSTM, Prophet, ARIMA and Recurrent Neural Networks with Time Series data to best predict the availability of parking spots at a desired location, date, and time.

• Published the same in the IEEE International Smart Cities Conference in Morocco. Task Recommender Application (Python, Machine Learning, Tableau)

• Suggests the user what tasks they can do using correlations, data analysis and NLP based on previous input considering many variables like task location, task duration, part of the day, weather and success rate. Face Recognition (MATLAB, R, Neural Networks)

• Developed a facial recognition application using MATLAB by training with datasets of human faces and testing the model with other pictures of them in different facial angles, and lighting conditions. EDUCATION

University of Missouri-Kansas City

Master of Science - Computer Science (Data Science) GPA: 3.7 Bachelor of Science - Computer Science GPA: 3.8