About
KDB+/Q developer at RxData Science Inc. An inspiring Machine Learning enthusiast. Having analytical mind to solve real world problems.
Contact Details
- Birthday: 20th December 2001
- Email: senthilsubramaniyam20@gmail.com
- Phone: +91 9944855452
- City: Coimbatore - India
- Github: https://github.com/Senthilvadivel-20
- LinkedIn: https://www.linkedin.com/in/senthilsubramaniyam20/
Summary
Data analytics graduate with 2.5+ years of experience as a KDB+/Q developer. I build and maintain the HDB database and ticker plants. Additionally, I am involved in developing machine learning and NLP concepts using the Q programming language. I have extensive experience with Python, KDB+, and various other analytical tools. Furthermore, I have used Django to create multiple web applications and dashboards. I also provide kdb+ training services.
Software Skills
Few of my software skillsets are listed below with my level of competence.
Education & Experience
Experience
Associate Data Engineer
Jan 2023 - Present
Rx Data Science Inc (a Syneos Health Company)
Skills: KDB+/q, NLP, Word Embeddings, Python
Associate Software Engineer - Trainee
Aug 2022 - Jan 2023
Rx Data Science Inc
Skills: KDB+/q, Kx Dashboar & Developer, ODBC, NLP
KDB+ developer Intern
2021 - 2022
Dattendriya Data Science Solutions - Salem
Skills: KDB+/q, Linux, Data Engineering
Education
Bachelor of Science (B.Sc.) – Computer Science with Data Analytics
2019-2022
PSG College of Arts and Science, Coimbatore
Major : Data Analytics
Higher Secondary Education
2017 - 2019
Sri Venkateshwara Vidyalaya Higher Secondary School, Gobichettipalayam
Group: Physics, chemistry, Maths, Biology,
Certifications
- KDB+/q Developer Level 1 & 2 & 3
- Natural Language Processing with Classification and Vector Spaces
- Applied statistics and Econometrics from NPTEL
- Statistics with Python - Specialization
- Data Analysis with Python
- Data Visualization with Python
Projects
Capital city locator
This project has been developed using python and django. This is about finding a new capital city for newly divided territory.It will find a new capital city based on conditions like population, distance, city-classifications, etc.,
NLP in KDB+/Q
Developed some of the NLP concepts like sentement analysis, Logistic regression and word auto correct in KDB+/q
Phonebook
This was inspired from a common man's life, about his experience of contact handling. The application will help a user to predict if a person whom we are calling will attend the call or not. The application uses machine learning algorithm, KNN-model to acknowledge whether a person will pick up their call or not.
IPL First Innings score predictor
This web app was developed using Multiple Linear Regression Algorithm. Created a linear model using python's sklearn library. Django framework has been used here with HTML,CSS frontend and deployed using Heroku.
Events
Events where the sounds of my journey are captured below.
