Hi, I am Bharath Kumar
Machine learning Engineer
Passionate AI Student specializing in
pixel-perfect AI
Projects.
About Me
My IntroductionHello! I’m Bharath Kumar Rajesh, a Master's student in Computer Science at Pace University, New York, specializing in machine learning, data analytics, and software development. I possess a solid foundation in algorithms, data structures, and programming languages such as Python and JavaScript. My expertise includes utilizing frameworks like TensorFlow and Apache Beam for building robust data pipelines and implementing predictive modeling techniques. I am passionate about harnessing the power of artificial intelligence and data-driven insights to tackle complex problems. In my spare time, I enjoy engaging with the open-source community on GitHub, participating in coding challenges, and exploring emerging technologies like cloud computing and microservices architecture. I’m always eager to collaborate with fellow tech enthusiasts and innovate solutions that make a difference!
experience
Repos and projects
Used
Skills
My Technical SkillsQualification
My journeyMaster of Science in Computer Science
Pace University, New YorkBachelor of Engineering in Computer Science
Jyothy Institute of Technology, IndiaSoftware Development Intern
Lets be the Change, Bangalore- Spearheading the entire development of a multi-platform digital solution using Flutter for mobile applications and React for web interfaces, aiming to optimize community management through enhanced data visualization.
- Actively crafting an intuitive, industry-level application that facilitates advanced community management and streamlines operational processes for administrators.
Machine Learning Intern
Compsoft Technologies, Bangalore- Pioneered a Twitter sentiment analysis project using NLP, implemented as a user-friendly Flask app during the COVID-19 pandemic.
- Incorporated recognition algorithms and NLP concepts, delivering an intuitive front end for enhanced user interaction.
Data Science Intern
Pantech E-Learning, Chennai- Specialized in Random Forest Regression and data visualization, achieving high accuracy models for COVID-19 prediction and spam classification.
- Utilized CNN for digit recognition, text preprocessing, and statistical analysis, delivering a churn prediction model with 92% accuracy.
Software Engineering Intern
Alltramatic, New York (Online)- Managed web automation using Selenium and SMTP, enhancing proficiency in technologies such as geo-fencing and satellite imagery handling.
- Developed APIs and Python scripts, expanding technical skills across diverse applications.
Campus Ambassador
SkillVertex, Bangalore- Organized events to drive course sign-ups, honing leadership and marketing skills.
- Enhanced problem-solving and networking abilities, contributing positively to campus culture.
Services
What I offer
Predictive Modeling
and Analytics
Predictive Modeling
and Analytics
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Development of forecasting models
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Data-driven decision-making insights
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Market trend analysis
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Risk assessment and mitigation strategies
Natural Language
Processing Solutions
Natural Language
Processing Solutions
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Chatbot development
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Sentiment analysis tools
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Text classification systems
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Extraction of insights from unstructured data
Custom Machine
Learning Solutions
Custom Machine
Learning Solutions
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Tailored ML models for specific challenges
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Data preprocessing and feature engineering
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Model training, evaluation, and deployment
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Integration of ML into existing systems