Summary
Work History
Education
Skills
Websites
Projects
Languages
Timeline
Generic

BARATAM RADHA MADHAV

Hyderabad

Summary

Dynamic and results-driven CSE graduate with a strong foundation in sales and marketing, seamlessly integrating technology and business strategies to drive growth, build brand value, and deliver measurable impact. Proven ability to adapt, lead, and execute with precision in fast-paced environments.

Work History

Technical marketing

Anitha dairies
Hyderabad
05.2023 - 06.2023
  • Internship role of 2 months to seek and work in technical marketing.
  • Achieved knowledge in realtime marketing and inventory management.
  • Instructed to verify product quality and maintain manual readings of export on hourly basis.
  • Developed strategy that helped in maintaining regular readings and data.

Education

Computer science engineering - DSAI

ICFAI University
01.2025

Intermediate -

Narayana College
01.2021

high school -

Narayana kennedy
01.2019

Skills

  • Python
  • Sql
  • Marketing
  • Effective communication
  • Project management
  • Affiliate marketing
  • Sales techniques
  • Social media marketing

Projects

  • Short-term Freelancer -
    ▪ Created a part-time working profile on Freelancer to earn income for personal expenses.
    ▪ Mastered content writing and copywriting by delivering value-based content.
    ▪ Successfully managed and retained two clients by rewriting old storybooks with engaging narratives and adding animated visuals.
  • Encryption and Decryption Project -
    ▪ Developed a mini-project explaining how encryption and decryption work in real-world scenarios.
    ▪ Demonstrated symmetric and asymmetric encryption using Python, showcasing how data is securely transmitted and decrypted.
    ▪ Focused on real-time data protection and secure communication protocols.
  • Classification of Arrhythmia using Extreme Learning Machine (ELM) & Support Vector Machine (SVM) Algorithms -
  • ▪ Designed a final-year academic project focusing on detecting and classifying cardiac arrhythmias from ECG datasets.
    ▪ Utilized machine learning techniques like ELM and SVM for accurate and fast classification of heart rhythm irregularities.
    ▪ Achieved improved prediction accuracy by training models on labeled arrhythmia datasets and validating performance metrics.

Languages

English
First Language
Telugu
Proficient
C2
Tamil
Proficient
C2
Hindi
Proficient
C2
Malayalam
Intermediate
B1

Timeline

Technical marketing

Anitha dairies
05.2023 - 06.2023

Computer science engineering - DSAI

ICFAI University

Intermediate -

Narayana College

high school -

Narayana kennedy
BARATAM RADHA MADHAV