Summary
Overview
Work History
Education
Skills
Websites
Certification
Accomplishments
Affiliations
Academic projects
Languages
Timeline
Generic

Anusha Kothapalli

Tirupati

Summary

Results-driven Data Science Engineer with expertise in Machine Learning, Deep Learning, and NLP. Adept at building and optimizing predictive models, performing data preprocessing, feature engineering, and statistical analysis to drive business insights. Strong problem-solving skills in both team-oriented and independent environments. Passionate about delivering innovative solutions and improving model performance.

Overview

4
4
years of professional experience
1
1
Certification

Work History

Machine Learning Intern

The Idea Gen Technologies
08.2024 - 01.2025
  • Developed and optimized ML models for predictive analytics and classification tasks.
  • Conducted data preprocessing, feature engineering, and hyperparameter tuning to enhance model accuracy.
  • Collaborated with cross-functional teams to deploy NLP-based attribute extraction models for business applications.

Intern

IEEE Ananthapuram Subsection
02.2021 - 07.2021
  • Implemented Machine Learning for IoT-based Predictive Maintenance, reducing human intervention by 50%.
  • Applied supervised learning algorithms to predict equipment failures, enabling 90% detection rates.
  • Utilized Python, scikit-learn, and data visualization tools for data-driven decision-making.

Education

B-Tech - CSE

MBU
08.2025

Intermediate -

Rajiv Gandhi University of Knowledge Technologies
07.2021

SSC -

Sri Chaitanya Techno School
06.2020

Skills

  • Java
  • SQL
  • Python
  • Pandas
  • Numpy
  • PyTorch
  • SK-Learn
  • Matplotlib
  • Keras
  • Pyspark
  • Seaborn
  • Natural Language Processing (NLP)
  • Deep Learning
  • Statistics
  • Exploratory Data Analysis

Certification

  • Google Advanced Data Analytics Certificate, 3 months
  • IBM Python for Data Science and AI, 2 months
  • Google IT Automation with Python, 2 months
  • Google Data Analytics, 2 months
  • AWS Solution Architecture Job Simulation

Accomplishments

  • Published Research Paper comparing BERT vs. RoBERTa for e-commerce attribute prediction.
  • Organized Technical Events as IEEE Secretary, promoting knowledge-sharing in the computer science community.

Affiliations

  • Secretary – IEEE Computer Society
  • Senior Anti-Ragging Squad – MBU
  • Student Coordinator – Google Developer Student Clubs, MBU
  • Campus Ambassador & Contributor – Girlscript Summer of Code 2024

Academic projects

  • House Price Prediction using Linear Regression: Achieved R² score of 0.85, reducing prediction errors by 20%.
  • Stock Price Prediction - Time Series Forecasting: Utilized ARIMA & LSTM, improving accuracy by 15%.
  • Attribute Prediction in E-Commerce: Improved classification accuracy by 40% using BERT & XLM-RoBERTa.
  • Customer Segmentation using KNN Algorithm: Identified 5 customer groups, increasing conversion rates by 12%.
  • Healthcare Website Development: Developed a responsive healthcare platform using HTML, CSS, JavaScript, and XAMPP.

Languages

  • Telugu, Hindi, English

Timeline

Machine Learning Intern

The Idea Gen Technologies
08.2024 - 01.2025

Intern

IEEE Ananthapuram Subsection
02.2021 - 07.2021

B-Tech - CSE

MBU

Intermediate -

Rajiv Gandhi University of Knowledge Technologies

SSC -

Sri Chaitanya Techno School
Anusha Kothapalli