Welcome to my portfolio website!

Hey folks, I'm
Reddy Prasad ML Researcher Data Scientists

Building a successful Machine Learning product in different domains. I am Highly accurate Machine Learning Researcher adept at collecting, analyzing, and interpreting large datasets, developing new forecasting models, and performing data management tasks.Possessing extensive analytical skills, strong attention to detail, and a significant ability to work in team environments.

svg image

Build a Machine Learning Applications



AIML – Consultantat Sumeru Solutions private Limited

Building Machine Learning Algorthims and Data Anylisis for Boman.ai is a Core DevSecOps Security Application for Build Security applications in SDLC(Agile) In Every SDLC we Need Security to find vulnerabilities and Find & fix security vulnerabilities in your code, integrate essential security scanning with Machine Learning. Conduct security scans e.g. SAST, DAST, SCA, and secret scanning continuously as plug & play. Leverage the SaaS platform for prioritization of scan results processed with the AI/ML engine to reduce false positives.


Machine Learning Researcherat ClientoClarify.AI private Limited

As a Machine Learning Researcher we Building End-to-end Machine learning applications and Deep learning applications, solving challenging business problems in different industries with CRISP-DM.


Technology Enabler in Machine Learning Algorithmat TMTS LLC

As a Technology Enabler in machine Learning Algorithm Build various Machine learning modles to check the performance of model and applications as well with Prajna Framework.


Research Assistantat BITIT

Worked as a Research Assistant in the areas of Machine learning, AI for Ph.D. Scholars and Develop Simulation Results of the Experiments in R&D. Teaching in the areas of core computer science - Machine Learning with Python, Data Science with R. Build the Data Pipeline for Data Processing Model Pipelines and Data Visualization results to Dashboard



M.Tech in Computer ScienceSri Venkateswara College of Engineering Technology, Chittoor

Complited my M.Tech in Computer Science with Machine Learning Specialization at SVCET-Chittor under JNTU-A


BTECH in Information TechnologySri Venkatesa Perumal College of Engineering & Technology, Puttur (Autonomous) under JNTU-A

Complited my B.Tech in Information Technology at SVPCET under JNTU-A


+12Rayalaseema Jr College,Tirupati

Complited my +12 From Rayalaseema Jr Collage, MPC Group.


SSCR.R High School ,Tirupati

Complited my Primary School of education in Tirupati.

Roals and Responsibilities

  • Machine learning researchers carry out data engineering and modeling tasks.
  • Data Engineering
  • Build Data Engineering Pipelines as subtasks such as defining data requirements, collecting, labeling, inspecting, cleaning, augmenting, and moving data.
  • Data engineering in Python and/or SQL or other domain-specific query languages.
  • I am building business analysis subtasks such as building data visualizations, dashboards for business intelligence, presenting technical work to clients or colleagues, translating statistics into actionable business insights, running A/B tests, and analyzing datasets.
  • Business analysis is performed in Python, R, other domain-specific tools such as Excel, or presentation software applications such as PowerPoint or Keynote
  • Modeling
  • Build the machine learning and deep learning modeling as subtasks such as training machine learning models, defining evaluation metrics, searching hyperparameters, and reading research papers
  • Modeling in Python using packages such as numpy, scikit-learn, pandas, matplotlib, TensorFlow, and PyTorch
  • Collaboration and workflow
  • Collaboration and workflow using a version control system like Git,Github, a command line interface (CLI) like Unix, an integrated development environment (IDE) such as Jupyter Notebook and Lab, Deep Note, Amazon Sagemaker, Visual Studio Code, and an issue tracking product like JIRA.
  • Research
  • I will by following updates via channels such as Twitter, Reddit, Arxiv, and conferences such as NeurIPS, ICLR, ICML, CVPR, IEEE and ACM.

Say hello


Interested to work together? Let's Mails Me