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Hello, I'm

Uday Sonawane

Aspiring Sofware Engineer | Machine Learning & Data Science Enthusiast

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About Me

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Experience

10 Months
Internship in Data Science and Software Engineering

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Education

B.Tech. Computer Science 2019 - 2023
M.Sc. Computer Science 2024 - Present

I am a passionate enthusiast of Data Science and Machine Learning, driven by a relentless curiosity and a desire to advance in these dynamic fields as opportunities arise.

In our interconnected world, the influence of data science is profound and pervasive—from securing mobile devices to predicting weather patterns. This widespread application has captivated my imagination and sparked my curiosity about the potential limitations of this technology, the challenges it may face, and its future trajectory. I am determined to confront any obstacles in my path, embracing every opportunity to delve deeper into this field and broaden my understanding.

Programming and innovation have always been central to my aspirations, and immersing myself in the world of coding has been a dream come true. My inquisitive nature and eagerness to learn have enabled me to explore diverse areas of knowledge and experience.

I find immense joy in continuously learning and embracing new experiences. I actively seek out opportunities for career growth and personal development. My proactive mindset and effective time management skills help me stay ahead, ensuring I make the most of each opportunity.

With a problem-solving mindset, I tackle challenges—whether simple or complex—with enthusiasm and dedication. I strive to find the best solutions in every scenario, be it business, management, planning, or any other area. Solving problems and devising innovative solutions is not just a skill but a passion I bring to every endeavor.

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Explore My

Experience

Internships

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Siemens DISW

Software Engineer Intern

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Tata Autocomp

Data Science Intern

Certificates

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Google

Data Analytics Specialization

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UC San Diego

Algorithmic Toolbox

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Hackerrank

Problem Solving Intermediate

Skills

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C++

Intermediate

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Python

Intermediate

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HTML/CSS

Basic

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SQL

Intermediate

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Scikit-Learn

Intermediate

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Tensorflow

Intermediate

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Browse Some of My

Projects

GMail Spam Filter using ML

I created a spam filter using the Naive Bayes algorithm, trained on labeled email data. After evaluating its performance, I deployed the filter to a Gmail account via Google Cloud, enabling real-time spam detection. The system was monitored and optimized to adapt to evolving spam tactics


Encrypting an Image using a Hilbert Curves

In this project, I used the Hilbert curve to transform an image into a text file, encoding the image's data in a sequential manner. Additionally, I also applied Discrete Wavelet Transform (DWT) to remove any embedded steganography, ensuring the resulting text file is free from hidden data


Testing Different Models for Stock Prediction

In this project, I evaluated several models to predict stock prices, including ARIMA for time series forecasting, LSTM networks for capturing long-term dependencies, Linear Regression for a straightforward approach, and Gradient Boosting for its ensemble learning capabilities. Each model was tested for accuracy and effectiveness in stock price prediction.


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