Proud to be an computer science engineer
Hi there !! take a minute to review my profile
About myself !
About my career
I'm a technical engineer
I started my career by completing computer science engineer in pondicherry university in the year of 2018.
Then, I was recruited by IBM in the year of 2019 and working as senior technical engineer till present.
I'm a python developer and programmer with good knowledge of cloud and data structure.
I could always like to work around with data which helps me to build my career towards data science.
I'm a programmer with good knowledge and experience of machine learning algorithms and techniques.
Journey of my career
Workshops and internships
- Participated in the Line tracer event conducted by Manusys'15 at Anna university in the year of 2015.
- Completed in-plant training in real time concepts of software and networking domain in HCL in the year of 2015
- Participated in the workshop of big data,robotics,satellite programming and PCB data conducted by International science and research organization in the year of 2016.
- I have done in-plant training in networking with Cicso routers and switches in the year of 2016.
- Participated in the workshop on building a real-time big data analysis pipeline during 4CCon-2nd national conference of free software foundation of Tamil Nadu.
- Participated in Ethical hacking and cyber security workshop conducted by Spyry technologies.
- Completed 1 month internship in Cyber security(Vulnerability assessment and penetration testing of web applications) at Spyry technologies,Bangalore.
Certification & badges
- Core java certification at Accel IT academy in the year of 2016
- Python certification in the year of 2018
- Completed SQL boot-camp certification
- Badge of block chain essentials.
- Data analysis using python
- Data science tools and methodology
- Python for data science and machine learning
- Big data certification
- Ultimate AWS practitioner.
- MongoDB for developers
- Executive briefing : Artificial intelligence (AI).
Knowledge and experience
- More experience in python programming languages and it's various libraries, data structures and algorithms.
- Good experience on analysis structured, unstructured data based on customer requirement and fixing the missing and un-baised data.
- Good practical knowledge about calculus and statistics.
- Good experience in developing real time predictive models using supervised and un-supervised ML algorithms.
- Experience in data visualization using Matplot, Tableau, Power BI.
- Experience analyzing image using OpenCV and implementing CNN using pooling layer and dropout layer with neural network.
- Experience in analyzing word with tokenization and exploring word embedding using RNN.
- Experience in working with data from SQL and NoSQL database such as MongoDB
- Good understanding about AWS and cloud infrastructure.
- Good knowledge and implementation of Reinforcement learning.
- Good knowledge and experience in Big data and spark technology.
- Good knowledge of HDFS, Map reduce & RDD.
- Architecture of Data warehouse
- End-End Data warehouse environment (ETL & ELT).