Akash Rane

Hello, I'm

Akash Rane

Computer Science Engineer

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About Me

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Experience

1.5 years
Computer Science Engineer & Business Intern

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Education

Bachelor of Engineering in Computer Science
Master’s in Computer Science (Pursuing)

I’m Akash Rane, a Computer Science master’s student passionate about Python, JavaScript, and emerging technologies like data analysis, neural networks, and machine learning. With a strong foundation in programming and problem-solving, I’ve worked on diverse projects, including a neural network-based face recognition system, data analysis pipelines, and dynamic web applications. I thrive in challenging environments that push me to think critically and innovate, and I bring strong teamwork and communication skills to every project. Beyond coding, I’m passionate about photography and love exploring the intersection of creativity and technology. I’m currently seeking opportunities to apply my skills in real-world scenarios, particularly through internships where I can continue to learn, grow, and contribute to impactful projects.

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Explore My

Technical skills

programming Languages

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Python

Experienced

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C++,C

Experienced

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JavaScript

Intermediate

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HTML, CSS

Experienced

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JSON, JAVA

Intermediate

Database Management

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SQL

Experienced

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PostgreSQL

Experienced

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Influx DB

Experienced

Data Visualisation

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Power BI

Experienced

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Node - Red

Experienced

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Influx DB

Experienced

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Grafana

Experienced

Libraries

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Matplotlib

Experienced

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Seaborn

Experienced

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Pandas

Experienced

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OpenCV

Experienced

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Sklearn

Experienced

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Keras

Experienced

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TensorFlow

Experienced

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My Publications and Projects

Publications

Publication1

Application for Real Time Object Measurement

International Journal of Advanced Research in Science, Communication and Technology
Year:2022

Project 2

A Review on Object Measurement Techniques

International Journal of Advanced Research in Science, Communication and Technology
Year:2022

Project 3

An Experimental Assessment of Deep Learning on Highway Driving

Journal of Science and technology at National Conference on Cognitive Computing
Year:2021

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Projects

project-1

Automated Operational Analytics and Reporting

A Python application that retrieves data from servers, performs automated EDA, and generates PDF reports, which are automatically printed for factory owners in the early morning.

Project 2

Prediction Model of Exhaust Air Temperature

Engineered a neural network model with TensorFlow and Keras to accurately predict exhaust air temperature, optimizing performance via mean squared error minimization with the Adam optimizer. Enabled real-time user input for precise predictions.

Project 3

Real-Time Object Measurement Application

Created a Python application using OpenCV and Aruco Markers for real-time measurement of object dimensions, with enhanced accuracy achieved through image segmentation.

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Get in Touch

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