Hi, I'm Sharayu 👋

I love working with data. I'm passionate about writing codes to Analyze, Predict, and Visualize data. Storytelling through data with interesting graphs and visualizations interests me. I'm on a journey to learn, explore, and get mesmerized by what data can do!

My Current Status

🔎 Looking for full-time opportunities as a Data Scientist/Data Analyst
💼 Working as a Research Assistant at Northeastern University while pursuing Master's in Data Analytics Engineering
📚 When I'm not working on data, I read about psychology and spirituality while exploring cafes around Boston!

My Journey

✨ I was introduced to data by being a part of a Database committee during my undergraduate studies in Mechanical Engineering.
💡 My career trajectory changed when I took Data Analytics as one of my elective subjects, worked on a few projects, and secured two internships in the field of Data Science in my final semester.
🌱 Interning at startups for 6 months, I acquired knowledge predictive modeling and ETL pipelines.
🚀 Following my undergraduate studies, I worked for 1 year as a Business Intelligence Developer at Intelimek Systems, elevating data-driven decision-making.
📚 To further deepen my expertise, I pursued a Post Graduate Diploma in Data Science and AI, where I specialized in machine learning and AI techniques.
📈 My academic journey continued with a Master’s in Data Analytics Engineering at Northeastern University, where I excelled in advanced analytics and visualization techniques.
🎓 During my master's, I mentored students as a Teaching Assistant for 1 year, simplifying complex analytics concepts and guiding them through their projects.
🚀 My industry experience expanded during a 6-month Data Scientist Co-op at Schneider Electric, where I built predictive maintenance algorithms and real-time monitoring dashboards.
🔬 Currently, I am applying my skills as a Research Assistant, utilizing NLP and statistical analysis to explore cutting-edge research in manufacturing.
🌐 Throughout this journey, I've engaged in diverse projects, from customer segmentation to turbine failure forecasting, showcasing the versatile applications of data science.
🛠 Proficient in Python, R, SQL, and ML frameworks, I continually seek to expand my knowledge and stay at the forefront of technological advancements.

Connect with me

On my GitHub profile, I share some of the projects that I've worked on personally and as a part of my academics including skills of Data Analysis, Data Management, Data Visualization, and Machine Learning.

Sharayu Thosar's Projects

bank-marketing-campaign-data-analysis

Target of the project is to do end to end Exploratory Data Analysis on Bank Telemarketing Campaign Dataset to infer knowledge of where bank has to put more effort to improve it's positive response rate (Created in September 2021)

clustering-world-countries

Aim of the project is to compare different countries all over the world by implementing K-means and Hierarchical Clustering methods. The attributes for clustering are selected from the World Indicator Dataset that includes information about each country regarding its GDP, Population, Energy Usage, Mortality Rates, etc. (Created in October 2022)

customer-segmentation

The goal of the market segmentation project is to use machine learning techniques to segment customers based on their Personality Analysis, hoping they can tailor their marketing efforts to an ideal customer group and improve sales.

database-modeling-for-kids-crew-app

Our aim is to create a database model for the company KidsCrew and gain insights into how to enhance the quality of service. The primary objective of this study was to design and implement a database solution for the company providing the childcare services.

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