Technical:

Python, Scikit Learn, Supervised Learning Models, Neural Networks,

Teamwork, Python Coding, Machine Learning for Face Recognition, Machine Learning: TensorFlow, OpenCV, Pytorch,Scikit, MATLAB, Octave, NumPy, Pandas, Matplotlib Programming Languages: Python, Java, C, C++, LISP, JavaScript, HTML, CSS, PHP Databases: MySQL, Oracle Operating Systems: Windows, Linux, Selenium, SDLC - Agile Software (Scrum), Jira, Confluence, Unsupervised Machine Learning, KNN, EM clustering, Unsupervised Reccomendation Systems, CNN, Computer Vision, Jquery, XML, MongoDB, NodeJS, Restful web services., AJAX, JSON, Pytorch, VLSI, Virtuoso, AWS, BERT, ELMo Non-Technical:

Detail Oriented, Organized, Fast learner, Strong Communication Skills, passionate for creating innovative techniques, Agile Methodologies Enakshi Mandal

adi7su@r.postjobfree.com LinkedIn: linkedin.com/in/enakshi-mandal-355943101 +1-469-***-**** Personal Statement

I’m an Computer Science student from The University of Texas at Dallas that is motivated by my values of Knowledge, Achievement and Responsibility.My short term goals are to find an internship and to find a full time job. I sincerely hope we can connect soon and appreciate your time and consideration. Education

The University of Texas at Dallas - Richardson MS: Computer Science Expected Graduation: May 2021 GPA: 3.7 / 4.0

Coursework:

Vishwakarma Institute of Technology BTech: Electronics and Telecommunication Expected Graduation: Jun 2017 GPA: 3.9 / 4.0

Coursework:

Experiences

Avaya Pune QA Engineering Senior Technical Associate Jul 2017 - Jul 2019 Aeron Systems Pvt Ltd Pune Machine Learning Intern Jun 2016-Dec 2016 Aeron Systems Pvt Ltd Pune Image Processing Intern Jun 2015- Dec 2015 Western Digital Santa Clara Machine Learning Intern May 2020 - Jul 2020 Skills

Projects

Artificial Intelligence, Database Design, Discrete Structures, Machine Learning, Implementation of Data Structures and Algorithms, Web Programming Languages,

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- Natural Language Processing, Data Representation, Convolutional Neural Networks, Computer Vision, Computer Networks, LINUX, Computer Architecture and Operating Systems, VLSI design, Digital Integrated Circuits, Digital circuits, Digital Communication.,

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Created a deep learning based predictive analytics system for business analytics products Automated manual reporting UI testcases that decreased manual testing effort by 40% Demonstrated Avaya's real time reporting product for contact centres to customers Test Automation of Avaya analytics product based ion Oracle Business Intellgence, Avaya Stream Servers and Oracle Business activity Monitor Development of Image processing-based navigation, Object detection, recognition, distance estimation, poses estimation, path estimation, stereo imagery Responsible for number plate recognition software meant for identifying vehicle number plates as part of greater driverless car project [Technology / Environment used: Embedded systems – Raspberry Pi2, Image processing, OCR, Machine learning, OpenCV- Python, Linux] Discrete tasks in image processing -Capture Saving and compression and transfer of images using pipes Create a machine learning model for improving VLSI results-memory technology Meaning to Sentence : sequence-to-sequence model UTD Nov 2020 Pytorch based encoder-decoder with attention, using recurrent neural networks Bengio et al.'s 2003 neural language model for word embeddings UTDallas Project Nov 2020 Deep convolutional neural networks Using Pytorch UTDallas Project Oct 2020 Modelling RegnetX-200MF design spaces that helps parametrize populations of deep neural networks for all different purposes rather than focusing on a single network for one purpose.

Activities & Achievements

Number Plate Recognition Aeron Systems Jun 2016-Dec 2016 A machine learning based number plate recognition software meant for identifying vehicle number plates as part of greater driverless car project. Auditory (synthesized speech) and tactile interfaces. Technology / Environment used: Embedded systems – Raspberry Pi2, Cloud computing – Face recognition service on Berkley servers, Image processing Machine learning, OpenCV-Python, Linux Call Inflow Prediction System Avaya Dec 2018-Jul 2019 Predictive Analytics Based software that uses deep learning to predict the number of incoming calls an inbound contact center Technology Used: TensorFlow, Python

Machine Learning for Parasitic Extraction Western Digital May 2021-Jul 2021 Created a machine learning model for prediction of parasitic extraction values of Integrated circuits. Technology Used: SciKit- Learn,Numpy,Pandas,Matplotlib, Python, Virtuoso, StarRC,F3D Virtual Assistance Device for the Visually Implaired Major Project Jan 2016 - May 2017 A portable wearable device to assist visually impaired in navigating, identifying and tracking faces and objects using Auditory (synthesized speech) and tactile interfaces. Technology / Environment used: Embedded systems – Raspberry Pi2, Cloud computing – Face recognition service on Berkley servers, Image processing Machine learning, OpenCV- Python, Linux. 2nd Prize winner in inter department major project competition Langauges

Japanese, Hindi, Bengali, Marathi

Volunteering

CS Outreach, UtDallas

Awards

Received Scholarship by Maharashtra state board of secondary and higher secondary education under “Inspire scheme for performance in top 1%” in Class 12 boards., Rewarded by Pune Municipality Corporation for scoring in the top 5% of 12th HSC board., Awarded “Late Tehmi Irani prize” by St Mary’s School for scoring above 90% in ICSE boards., 2nd Prize for Best Major Project in inter department major project competition in VIT

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