Summary
Overview
Work History
Education
Skills
Projects
Achievements
Timeline
Generic

M.G. Sai Srinivas

Machine Learning Engineer
Nellore,Andhra Pradesh

Summary

Machine Learning specialist with strong analytical and problem-solving skills, prepared to drive impactful results. Skilled in Python, TensorFlow, and data visualization, with solid foundation in algorithms and statistical models. Highly collaborative team player, adaptable to evolving project needs, and consistently focused on achieving goals. Known for reliability and effective communication in fast-paced environments.

Overview

2
2
years of professional experience
7
7
years of post-secondary education

Work History

MACHINE LEARNING INTERN

SPOVUM TECHNOLOGIES PRIVATE LIMITED
Bangalore
02.2024 - 06.2024
  • Utilized advanced ML techniques to analyze vast datasets, enabling accurate forecasting of environmental conditions essential for fostering optimal embryo growth and health
  • Contributed to the development of a robust machine learning pipeline, ensuring seamless deployment of models into production environments.
  • These prediction models were able to forecast the environmental factors with an accuracy of 80 percent and was deployed in various fertility clinics across Bangalore

MACHINE LEARNING INTERN

VODAFONE IDEA FOUNDATION
Mumbai
06.2022 - 09.2022
  • The main purpose of this project was to detect weapons to reduce crimes
  • We used the YOLO V5 model using deep learning techniques on a customized data set to detect weapons to avoid crime
  • Obtained 80-85 % accuracy on the customized data set

Education

B.TECH - COMPUTER SCIENCE

SRM UNIVERSITY
Amaravati, AP
07.2020 - Current

HIGHER SECONDARY EDUCATION - Maths,Physics and Chemistry

VISWASAI JUNIOR COLLEGE
Nellore
05.2018 - 06.2020

Skills

Python programming

PyTorch framework

Scikit-learn library

Data Analysis

Time series analysis

Model evaluation

Projects

HIGHER EDUCATION PREDICTION ALGORITHM | PYTHON
June 2022 – September 2022
•Developed an algorithm using classification techniques for having a seamless
experience of college admissions as per the student input
•Gathered data of students planning for higher education, their GRE, IELTS, TOEFL
scores, and the colleges they have joined.
•Obtained 89 percent accuracy after training the model to predict the colleges they
can get into.


COMMUNITY‑BASED DISASTER MANAGEMENT SYSTEMS USING ANALYTICAL
EVALUATION FRAMEWORKS | PYTHON

November 2023 ‑ December 2023
•Aim was to create a tweet classification model that can differentiate tweets
between Natural disasters and that are not.
•A data set of over 8000 tuples was used along with various models such as BERT,
LSTM, RNN, etc.
•Obtained average 70-80 percent accuracy and currently writing a research paper.

Achievements

Secured ₹2 lakh prize money as winners of the Vodafone Idea Innovation Challenge, competing among teams nationwide. Collaborated effectively in a dynamic team of four to develop a state-of-the-art weapon detection system, utilizing advanced computer vision and deep learning techniques.

Timeline

MACHINE LEARNING INTERN

SPOVUM TECHNOLOGIES PRIVATE LIMITED
02.2024 - 06.2024

MACHINE LEARNING INTERN

VODAFONE IDEA FOUNDATION
06.2022 - 09.2022

B.TECH - COMPUTER SCIENCE

SRM UNIVERSITY
07.2020 - Current

HIGHER SECONDARY EDUCATION - Maths,Physics and Chemistry

VISWASAI JUNIOR COLLEGE
05.2018 - 06.2020
M.G. Sai SrinivasMachine Learning Engineer