Abhishek Girish Patil

adih88@r.postjobfree.com +1-469-***-**** https://www.linkedin.com/in/abhishekpatil26/ SUMMARY

A curious mind with a passion for Problem Solving using Innovation. Passionate and hands-on Data Scientist with 2+ years of experience and a demonstrated ability to deliver valuable business insights. Experienced in supporting data- driven decision making by presenting complex technical information to non-technical personnel. TECHNICAL SKILLS

Proficient Skills: Python (Pandas, NumPy, Scikit-learn, PySpark), R, MATLAB, SQL, Hive, Shell scripting. Tools: Jupyter, Tableau, Microsoft Excel, Google Analytics, Git, Azure DevOps, Azure Machine Learning, Linux, UNIX. WORK EXPERIENCE

e-Zest Solutions Inc, Irving, Texas. August 2020 – Present Software Engineer – Machine Learning.

• Built and deployed Machine Learning models in production for a leading Fortune 500 healthcare-based client to automate key business processes and reducing time and effort for client onboarding in Pharmacy Benefit Management (PBM) process by 66%.

• Designed end-to-end and highly scalable big data pipelines in Python, Bash and Spark to automate the flow of data from Big Data sources for model training and prediction.

• Collaborated with business stakeholders in understanding business requirements to craft technical solutions and communicated meaningful data insights and feedback. DNV GL (Det Norske Veritas Germanischer Lloyd), Houston, Texas. February 2020 – May 2020 Data Science Intern, Digital Innovation Team – Oil & Gas Department.

• Formulated product innovation strategies for bringing in latest trends and innovations within Artificial Intelligence and Data Science and built prototypes to optimize processes and transform the way DNV GL does business.

• Built a prototype for information extraction from Oil and Gas Piping and Instrumentation Diagrams (PID) using Object Detection methods based on Deep Learning that significantly reduced time for information retrieval.

• Designed and developed a real-time data pipeline in Python to automate processes of data downloading (XML) from server, geospatial data processing, loading data in the software and uploading results (JSON) back to the server. Atreya Innovations, Pune, India. July 2016 - June 2018 Data Scientist, Research Team.

• Performed thorough investigation of the effects of medical disorders on heart rate signals using statistical data analysis to design a disease detection Machine Learning model (Random Forest) based on a large complex dataset of digital signals and Electronic Health Records (EHR).

• Redesigned and introduced a new automated system for data pre-processing and feature extraction from Frequency Domain Analysis which significantly enhanced reporting time and improved model performance.

• Partnered with the Product and Marketing team to lead market and competitor research; proposed possible product enhancements influencing the direction of future research areas. EDUCATION

The University of Texas at Dallas, United States. May 2020 Master of Science, Information Technology and Management (Data Science). GPA: 3.36/4.0 University of Pune, India. June 2017

Bachelor of Engineering, Computer Science. GPA: 3.66/4.0 RESEARCH PUBLICATIONS

• Analysis and prediction of effect of Suryanamaskar on Pulse of different Prakruti using Machine Learning; Advances in Intelligent Systems and Computing, Vol 673. Springer, Singapore.

• A proposed framework for prediction of Pulse, based on effect of Suryanamaskar on different Prakruti at different Prahars; IEEE International Conference on Big Data Analytics and Computational Intelligence, India.

• Studying the effects of Suryanamaskar using Signal Processing techniques; Amrita Samyogam 2017 International Conference on Integrative Ayurveda and Modern Medicine, India. CERTIFICATIONS

• Practical Deep Learning for Coders (fast.ai).

• Deep Learning (Convolutional Neural Networks CNN) using TensorFlow: Udacity.

• Spark and Python for Big Data with PySpark (Udemy).

• Object Oriented Python Programming: University of Michigan (Coursera). WORK SAMPLES

• GitHub: https://github.com/abhilampard

• Medium (Blog): https://medium.com/@abhilampard

ACHIEVMENTS

• Dean’s Excellence Scholarship Award: Naveen Jindal School of Management.

• Best Project Award: Department of Computer Engineering - MIT College of Engineering. VOLUNTEER EXPERIENCE

Thea’s Star of Hope, Trenton, New Jersey. February 2019 - May 2019

• Volunteered to run digital marketing campaigns (Google Ads) for 4 weeks to promote various events and raise funds for supporting families of kids with brain tumor.

• Identified key performance indicators (KPI) and used A/B testing to analyse campaign performances; provided data- driven recommendations to improve metrics.

Indian Student Parliament, Pune, India. December 2013 - January 2017

• Led the operations of the “Q and A” team for an audience of over 1,000 participants each year.

• Participated in various discussions which focused on channelizing the youth towards the strengthening of democracy and tackling national issues.

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