SHREYANSH SINGH

I am a NUS Graduate student (MSc Computer Engineering) with a strong background in Machine Learning & Technology Management. Fluent in Python, SQL, and MATLAB with a thorough understanding of Data Analytics & Information Technology. I am eager to contribute my skills and research expertise and look forward to the opportunity to discuss how my background and experiences make me a strong fit for the role.

As a current Master's student with a focus on Machine Learning (ML), I am well-versed in applying algorithmic techniques to solve real-world business problems. Coupled with my extensive hands-on experience in Data Science & Technology Management, I am confident in my ability to contribute to the success of the team.

My coursework, including both Graduate and Undergraduate, has equipped me with a solid foundation in analytical thinking and problem-solving, essential for the challenges presented in the innovative and dynamic environment at the company. Moreover, my proficiency in programming languages such as Python, MATLAB, SQL, and also my skills in MS Excel, Tableau, Power BI—as evidenced by my successful implementation of projects during my academic tenure and internships —positions me as a candidate well-versed in the technical requirements section.

My experiences while working in the integrated domain of IoT and Machine Learning to produce scalable projects have given me opportunities to hone my abilities in implementing innovative thinking, an attribute crucial for the challenges outlined in the intern role. In my Projects during my tenure at India’s Super Brain Workshop and as a Researcher at VIT Vellore, I actively applied my skills in implementing intelligent and robust solutions.

For my final year Undergrad. project, I designed and implemented a comprehensive NLP pipeline, encompassing three diverse datasets comprising Text, Audio, and Video data. Applied advanced techniques including Word Embeddings and Tokenization for text processing, Signal Preprocessing filters and MFCCs for audio data, and Convolution Operations coupled with Feature Extraction for video data. Achieved a robust emotion classification/prediction model with an accuracy rate of 85%.

I am particularly drawn to values such as Teamwork, Mindset, resourcefulness, and the opportunity to work on cutting-edge business and data problems. I am confident that my diverse skill set such as analytical, mathematical, and programming skills, coupled with my passion for research and innovation, make me a strong fit for the role.

I am eager to contribute my skills and enthusiasm to the company and look forward to the opportunity to discuss how my background and experiences align with the needs of your team. Thank you for considering my application. I am excited about the possibility of joining the company and contributing to the success of the team. I look forward to the opportunity to discuss my candidacy further.

Best Regards, Shreyansh.

National University of Singapore(NUS)
Master of Science (Computer Engineering) - CGPA: 3.8/5                                                       01/23 - present
• Coursework - Machine Learning with Applications, Evolutionary Computation & Applications, Modern Computer Networking, Wireless & Sensor Networks for IOT, Smart Sensing Systems .

Vellore Institute of Technology, School of Electronics Engineering Vellore, India

B.Tech Electronics and Communication Engineering - CGPA: 8.83/10                             07/2018-06/2022 • Coursework - IOT Domain Analyst, Neural Networks & Fuzzy Control, Digital Image Processing, Business Mathematics, Probability Theory & Random Processes, Statistics for Engineers.