Hi there! ๐ I'm Lipsita, a Data Enthusiast ๐๐
๐ Former QA Analyst Transitioning to Data Scientist
๐ Background in Electronics and Instrumentation Engineering
Embarking on a transformative journey, I've transitioned from the precision-driven world of Quality Assurance to the dynamic and evolving realm of Data Science. My roots in Electronics and Instrumentation Engineering have provided me with a solid foundation, enabling me to approach data with an intricate blend of accuracy and innovation.
๐ As a QA Analyst, I honed my skills in meticulous testing, attention to detail, and a commitment to excellence. This experience ingrained in me the importance of reliability and precision, traits that I now carry forward into my data science endeavors.
๐ก Venturing into Data Science, I'm passionately exploring how data can be harnessed to unveil hidden patterns and drive decision-making. Whether it's through predictive analytics, machine learning, or big data technologies, I am committed to transforming complex data sets into actionable insights.
๐ ๏ธ My Toolbox Includes:
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Programming Languages: Proficient in Python and SQL, I weave data into meaningful narratives.
- ๐ Python, R, SQL
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Data Analysis & Visualization: Skilled in using tools like Matplotlib, Seaborn, Plotly, IBM Cognos Analytics, and Tableau to bring data to life visually.
- ๐ Excel, Numpy, Pandas
- ๐ Matplotlib, Seaborn, Tableau, IBM Cognos Analytics
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Database Management: Experienced in managing databases with MySQL, ensuring data integrity and accessibility.
- ๐พ MySQL
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Cloud Technologies: Exploring cloud platforms like AWS and Azure for scalable data solutions.
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Machine Learning: Delving into the world of TensorFlow, Keras, and PyTorch to build intelligent systems.
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Big Data Processing: Apache Spark, Hadoop, Hive
Outside of data science, I find solace and creativity in my artistic pursuits, whether it's painting, digital art, or exploring the latest tech innovations. This blend of art and science is not just my profession; it's my passion.
๐ Let's Connect! Feel free to reach out to me via LinkedIn
Whether you're interested in discussing data science, sharing artistic insights, or exploring potential collaborations, I'm just a message away. Together, let's turn data into discovery and challenges into opportunities.