Summary
Overview
Work History
Education
Skills
Languages
Certification
Accomplishments
Hobbies and Interests
Timeline
Generic
Siddu Banoth

Siddu Banoth

Khammam

Summary

Machine Learning Engineer with 1.5 years of experience in developing and implementing scalable ML solutions for time series forecasting and classification. Proficient in advanced algorithms including XGBoost and ARIMA, as well as deep learning models like TCNN, driving significant business outcomes. Expertise in feature engineering, model optimization, and cloud development on Azure Databricks. Knowledgeable in Generative AI concepts, including LLMs and RAG, with a focus on practical applications in business.

Overview

2
2
years of professional experience
2
2
Certification

Work History

Machine Learning Enginner

Quantiphi Analytics Solution Private Limited
Bengaluru
12.2023 - Current
  • Spearheaded the development of time series forecasting pipelines for predicting customer-level demand and order quantities using models like XGBoost, TCNN, ARIMA, and Prophet.
  • Performed advanced feature engineering, integrating calendar features, seasonality components, and holiday effects to enhance temporal signal quality, leading to a 15–20% improvement in model accuracy.
  • Tuned hyperparameters of XGBoost models through Bayesian Optimization and Grid Search, reducing RMSE and improving generalization performance.
  • Built classification models using Random Forest to predict order placement decisions, enabling proactive supply chain planning.
  • Worked extensively in Azure Databricks, handling large-scale data with PySpark, and scripting end-to-end pipelines with Python.
  • Extracted and transformed structured datasets from SQL databases and data lakes, ensuring seamless data flow into the ML models.
  • Integrated multiple external parameters (e.g., regional holidays,seasonality) to improve forecast robustness.
  • Participated in code reviews, sprint planning, and model validation sessions with data scientists, engineers, and business stakeholders.

Machine Learning Engineer Intern

Quantiphi Analytics Solution Private Limited
06.2023 - 12.2023
  • Developed custom artificial neural network from scratch for MNIST dataset, showcasing deep understanding of principles.
  • Designed and implemented convolutional neural network using TensorFlow and Keras for plant seed classification.
  • Utilized deep learning expertise to solve complex real-world problems involving neural networks.
  • Demonstrated practical knowledge of deep learning frameworks through hands-on projects in machine learning.

Web Developer Intern

Teachnook
03.2022 - 05.2023
  • During my tenure as a web developer intern at Teachnook, I consistently delivered projects within tight deadlines. My problem-solving abilities, coupled with my expertise in HTML, CSS, and JavaScript, allowed me to efficiently address complex challenges and create functional web solutions, contributing to the company's success.

Front End Developer Intern

Zebra Learn Private Limited
Surat
06.2022 - 07.2022
  • As a front-end developer intern at Zebra Learn Private Limited, I played a pivotal role in transforming the company's website. Leveraging my skills in HTML, CSS, JavaScript, and Bootstrap, I reimagined the user interface, improving navigation and visual appeal. This initiative demonstrated my commitment to enhancing user experiences and my proficiency in web development technologies.

Education

Bachelor of Technology - Mechanical Engineering

Sardar Vallabhbhai National Institute of Technology
Surat, India
06.2023

Skills

  • Python programming
  • Data analysis with Pandas
  • Numerical computing with NumPy
  • Data visualization with Matplotlib
  • Big data processing with PySpark
  • Database management with MySQL
  • Time series analysis
  • Feature engineering
  • Hyperparameter optimization
  • Understanding of LLMs and RAG
  • Deep learning frameworks
  • Azure Databricks
  • Web development with Bootstrap
  • CSS styling
  • Database management systems
  • HTML web development
  • JavaScript scripting
  • Leadership and team management

Languages

  • English, Full Professional Proficiency
  • Telugu, Native or Bilingual Proficiency
  • Hindi, Professional Working Proficiency

Certification

  • Azure AI Engineer Associate (Microsoft)
    Demonstrated skills in designing and implementing AI solutions on Azure, including natural language processing, computer vision, and responsible AI principles.
  • Getting Started with Deep Learning (NVIDIA)
    Gained hands-on experience with deep learning fundamentals, including neural networks, CNNs, and model training using NVIDIA’s GPU-accelerated frameworks.

Accomplishments

  • Annual Avengers Award – Quantiphi
    Honored as part of the Best Performing Team in the organization through the prestigious Annual Avengers award, recognizing outstanding teamwork, innovation, and business impact on strategic machine learning initiatives.
  • Multiple Spot Awards – Quantiphi
    Earned several Spot Awards for exceptional contributions in model development, accuracy improvement, and timely delivery of high-impact ML solutions across time series forecasting projects.

Hobbies and Interests

  • Playing cricket
  • Listening to Music
  • Learning new skills

Timeline

Machine Learning Enginner

Quantiphi Analytics Solution Private Limited
12.2023 - Current

Machine Learning Engineer Intern

Quantiphi Analytics Solution Private Limited
06.2023 - 12.2023

Front End Developer Intern

Zebra Learn Private Limited
06.2022 - 07.2022

Web Developer Intern

Teachnook
03.2022 - 05.2023

Bachelor of Technology - Mechanical Engineering

Sardar Vallabhbhai National Institute of Technology

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Siddu Banoth