SHAYAN ALI BHATTI

adcjkw@r.postjobfree.com 218-***-****

**** ******** ***, ***********, ********* linkedin.com/in/shayan-ali-bhatti/ github.com/shayanalibhatti

SKILLS

Python, C, C#, Java, SQL, NoSQL, R, VHDL, Google Cloud Platform, Decision Trees, Neural Networks, Gradient Boosted Trees (XGBoost), Tableau, Amazon Web Services (AWS), Long Short Term Memory (LSTM), Regression, Recurrent Neural Networks (RNN), Convolutional Neural Networks, Autoencoder, K-means Clustering, Git, Apache Spark, Docker, Scikit-learn, Apache MXnet, Intel OpenVINO, Tensorflow, Keras, Deep Learning, IBM Watson Studio, Tesseract-OCR, Cloud Computing, Edge computing, 3d printing, ETL, image processing, BigQuery, Flask, REST API, HTML, JSON, MongoDB.

WORK EXPERIENCE

TEACHING ASSISTANT JANUARY 2017 - MAY 2019

University of Minnesota Duluth, USA

• Tutored students of Basic Electronics and Modern Communication for conducting lab experiments. RESEARCH ASSISTANT MARCH 2017- JANUARY 2018

University of Minnesota Duluth, USA

• Designed Traffic Loop detector health estimation software using C# and MySQL for Minnesota Department of Transportation (MNDOT) to help analyze data of their traffic detector performance.

• Developed algorithms to detect faulty traffic detectors from millions of records, to help MNDOT improve emergency dispatch response time.

FOUNDER JANUARY 2013 - DECEMBER 2016

Raspberry Pi Pakistan Store, Pakistan

• Founded a profitable online business of selling Raspberry PIs in Pakistan making over 0.5 million rupees in sales. SOFTWARE ENGINEER JULY 2014 - JUNE 2015

Digitec Systems, Pakistan

• Developed software of ARM7 processor based Biometric Attendance Monitoring System device using C# and SQL and added custom software features for clients to help achieve their goals.

• Repaired several faulty biometric devices to working condition and developed product manuals.

• Developed Biometric Pensioner Registration System software using C# and SQL for National Bank of Pakistan’s Government Pension System program.

ACADEMIC RESEARCH / PROJECTS

Thesis:

• Implemented finger movement recognition using EMG signals with Neural Networks using Python and Keras.

• Designed algorithm recognizes 5 fingers with 100% accuracy, 12 finger movements with 85% accuracy using a single hidden layer neural network and is computationally efficient.

• Designed a 3d printed robotic hand to interface with EMG recognition software and perform classified movement. Software:

• Developed Depression Assistant Chatbot using Machine Learning in Python. This chatbot identifies sentiment in user’s text with 93% accuracy and if it expresses anger/fear/sadness, it offers a joke to them. This chatbot can help people having a difficult day, feel better.

• Developed Customer Churn predictor using Gradient Boosted Decision Trees (XGBoost) in Python with sklearn and Pandas. It predicts customer churn with 87% accuracy.

• Developed Weather Forecast App using Python and REST API to download data from OpenWeatherMaps, store in MongoDB and show weather alerts and forecast data on Google Maps for desired locations for analytics.

• Designed Audiobook using Python and Pytesseract-OCR that scans PDF text and reads it to user.

• Designed Pose / Text / Car classifier using Intel Edge Computing OpenVINO toolkit.

• Designed Edge Detection app on car’s camera’s video output using Intel Edge Computing OpenVINO toolkit.

• Designed Urban Sound Identification algorithm using 2-D Convolutional Neural Networks in Python and Keras using melspectrogram images of sound clips for Kaggle’s challenge achieving 85% classification accuracy.

• Designed Bike Share Demand Prediction model using Python, sklearn, pandas and Long Short Term Memory

(LSTM) model. The model predicted hourly demand with only 3% error in mean absolute deviation from test set. EDUCATION

MASTERS OF SCIENCE - ELECTRICAL ENGINEERING JANUARY 2017 - MAY 2019

(COMPUTER SCIENCE MINOR)

• University of Minnesota Duluth, Duluth, MN

• GPA 3.9

BACHELORS OF ENGINEERING - INDUSTRIAL ELECTRONICS JANUARY 2010 – JANUARY 2014

• NED University, Karachi, Pakistan

• GPA 3.7

CERTIFICATIONS

Python: Python for Everybody (Coursera).

R: Introduction to R for Data Science (Edx).

Machine Learning: Machine Learning (By Andrew Ng). Deep Learning: Deep Learning Specialization (Coursera). Data Science: IBM Advanced Data Science Specialization (Coursera). Cloud Computing: Google Cloud Platform Big Data and Machine Learning fundamentals (Coursera). Cloud Computing: Modernizing Data Lakes and Warehouses with Google Cloud Platform (Coursera). Edge Computing: Intel IoT Edge Computing with OpenVINO (Intel – Udacity). Android: Android Development for Beginners (Udacity). HONORS AND ACHIEVEMENTS

• Published article “Tackling Depression with Machine Learning via Chatbot” on Medium.com. Available at https://medium.com/datadriveninvestor/tackling-depression-with-machine-learning-via-chatbot-1e5f5546f36a.

• Published article “Predicting Bike Share Demand using Machine Learning” on Medium.com. Available at https://medium.com/datadriveninvestor/capital-bike-share-demand-prediction-using-machine-learning-3c6c2c958e82.

• Published article “Creating a Weather Forecast App with Python using Openweathermap and MongoDB” on Medium.com. Available at https://medium.com/@bhatt226/creating-a-weather-forecast-app-with-python-using- openweathermap-and-mongodb-d6e5858a4f69

• Delivered talk on “Machine Learning” to educate undergraduate students in University of Minnesota Duluth (UMD) about Machine Learning and Data Science.

• Managed affairs of Cricket club as “President of Cricket Club” at University of Minnesota Duluth (UMD). Also educated people about Cricket in UMD.

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