
Siemens DISW
Software Engineer Intern
Hello, I'm
Aspiring Sofware Engineer | Machine Learning & Data Science Enthusiast
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10 Months
Internship in Data Science and Software Engineering
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.
Explore My
Software Engineer Intern
Data Science Intern
Data Analytics Specialization
Algorithmic Toolbox
Problem Solving Intermediate
Intermediate
Intermediate
Basic
Intermediate
Intermediate
Intermediate
Browse Some of My
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
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
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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