Shilpa Mandal Krishna
Engineering / Architecture
Services provided
Soft skills, such as business intuition, critical thinking and innovative problem solving, are highly valuable asset and competitive as a professional . help to develop tools and methods to extract information, create automation systems to eliminate routine work, and build data frameworks tailored to their organization.
I have 2 days of experience in this field
Experience
Hi,
myself K. Shilpa Mandal, coming from engineering background, and having good knowledge about datasets and good in mathematical skill. I have 1year experience in Data Science field
Education
- Bachelor of Education - Vel tech high tech engineering college / ECE (2017-2021)
- Data Scientist (2021-2023)
Professionals in the same Engineering / Architecture sector as Shilpa Mandal Krishna
RAVINUTHALA HARSHAPAVAN
Civil engineer
Engineering / Architecture
Professionals from different sectors near Bengaluru, Bengaluru Urban
Keerthana D
A self-motivated developer and tech enthusiast who is always willing to learn new skills and apply them, Proficient in full stack web application development, Linux system administration, cloud compu ...
Other users who are called Shilpa
Jobs near Bengaluru, Bengaluru Urban
-
Data Scientist/Analyst
6 days ago
beBee Careers BengaluruJob Description · We are seeking a highly skilled and motivated professional to join our team as a Data Scientist/ Analyst. The ideal candidate will have a strong background in data science and business analytics, with excellent problem-solving skills and the ability to work effe ...
-
Data Scientist
4 days ago
Qrata BengaluruData Scientist II · At qrata, our Data Science team is the driving force behind creating intelligent systems for millions of users. We assemble during the toughest challenges and devise creative solutions. · We have amazing opportunities in charting the future of commerce for Bha ...
-
Data Scientist
4 days ago
Digitrix Software LLP BengaluruMandatory Skills · Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Engineering, or a related field. · 3–7 years of hands-on experience in data science, machine learning, or applied statistics. · Proficiency in Python or R, and hands-on experience with ...
