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Srikalpa Sankeerth

@srikalpa

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Data-driven software developer with expertise in data science and analysis.

Singapore

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What I'm looking for

I seek a collaborative environment that fosters innovation and growth, focusing on data-driven projects.

I am a passionate software developer with a Master's in Computing specializing in Data Science from Singapore Management University. My journey in technology began with a Bachelor's in Computer Science, where I developed a strong foundation in programming and data analysis. I have honed my skills through various internships and professional experiences, particularly at Verizon Data Services, where I significantly improved application performance and user experience.

Throughout my career, I have successfully implemented data-driven solutions that have led to measurable improvements, such as reducing defects by 10% and enhancing user engagement through critical bug fixes. My experience spans across data visualization, machine learning, and cloud technologies, allowing me to tackle complex problems with innovative solutions. I am committed to continuous learning and applying my knowledge to drive impactful results in the tech industry.

Experience

Work history, roles, and key accomplishments

Software Developer

Verizon Data Services India

Jul 2022 - Jul 2023 (1 year)

As a Software Developer, I reduced defects by 10% through high-quality code development and bug elimination. I conducted in-depth data analysis to identify patterns, providing actionable insights for business decisions, and enhanced user experience by resolving critical defects in the MVA3.0 app.

Data Analysis SQL Python Agile Git Jira Docker Linux Data Visualization ETL

Software Developer Intern

Verizon Data Services India

Feb 2022 - Jun 2022 (4 months)

As a Software Developer Intern, I enhanced the Bug Report feature functionality, improving user experience and issue tracking. I also conducted A/B test analysis for new features, providing statistical significance reports to the product team.

Data Analysis SQL Python Agile Git

Data Science Intern

The Sparks Foundation

Apr 2021 - Jun 2021 (2 months)

During my internship, I developed supervised and unsupervised machine learning models for trend prediction and clustering tasks. I conducted statistical data analysis on real-world datasets, deriving insights and visualizing results.

Machine Learning Python Data Analysis Data Visualization Statistical Analysis

Python Developer Intern

CodeSpeedy Technology

Feb 2021 - Mar 2021 (1 month)

As a Python Developer Intern, I built a real-time drowsiness detection system using OpenCV and Haar-Cascade Classifier, implementing EAR algorithm and PERCLOS measures for accident prevention.

Python OpenCV Machine Learning Data Analysis Software Development