Ashutosh Yadav

Software Developer | Machine Learning Engineer

Bareilly, IN.

About

Highly motivated Software Developer with a robust foundation in Python and Machine Learning, adept at developing scalable and efficient solutions for complex real-world problems. Proven experience in backend development, data processing, and automation, including building predictive models for churn and stock trends, and deploying containerized microservices on AWS. Eager to leverage strong analytical thinking and collaboration skills to contribute to impactful, value-driven projects in a dynamic tech environment.

Work

Anava Computing Technology Pvt. Ltd.

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Java Developer Intern

Bareilly, Uttar Pradesh, India

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Summary

Gained practical experience in the full software development lifecycle, building and deploying containerized microservices on AWS.

Highlights

Applied SDLC best practices and implemented CI/CD pipelines using Jenkins and GitHub Actions, streamlining development workflows and accelerating release cycles.

Engineered and containerized scalable microservices with Docker, deploying them on AWS and establishing robust performance monitoring with Prometheus/Grafana.

Internshala Trainings

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Machine Learning Intern

Bareilly, Uttar Pradesh, India

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Summary

Completed certified Machine Learning training, applying supervised and unsupervised learning techniques to build predictive models for real-world applications.

Highlights

Completed certified Machine Learning training, mastering supervised/unsupervised learning, Python, and data visualization techniques from M.J.P. Rohilkhand University.

Developed and deployed churn prediction and property price estimation models utilizing Scikit-learn and Pandas, significantly improving predictive accuracy through advanced preprocessing and feature engineering.

Education

MJP Rohilkhand University

Bareilly, Uttar Pradesh, India
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Bachelor of Technology (CSE) Computer Science Engineering

Courses

Data Structures

Machine Learning

Artificial Intelligence

Software Development

Languages

English

Hindi

Certificates

Machine Learning

Internshala

Data Science for Engineers

NPTEL, IIT Madras

Skills

Programming Languages

Python, Java, C++, SQL.

ML Frameworks & Libraries

Scikit-learn, TensorFlow, Pandas, NumPy.

ML Techniques

Data Preprocessing, Feature Engineering, Regression, Classification, LSTM, NLP.

Development Tools & Practices

Android Development, Version Control (Git), REST APIs, SDLC, CI/CD (Jenkins, GitHub Actions), Docker, AWS, Prometheus, Grafana.

Interests

Technology & Development

Machine Learning, Deep Learning, Android Development, Artificial Intelligence, Data Analytics.

Projects

WhatsApp-Driven Google Drive Automation

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Summary

Developed an automated workflow to integrate WhatsApp with Google Drive and OpenAI for efficient document processing and secure file management.

SEM Plan Builder

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Summary

Created an SEM plan builder supporting Search, Shopping, and Performance Max campaigns with automated keyword analysis.

Analysis of Student Behavior Under NEP 2020

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Summary

Developed a machine learning project to analyze student behavior under NEP 2020 policies, leveraging predictive modeling.

Stock Market Price Prediction Using LSTM

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Summary

Developed a deep learning model utilizing LSTM to accurately forecast stock market trends based on historical time-series data.