Data Scientist
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Hello,
I am passionate about technology and this motivates me to constantly expand my knowledge. I have worked on many projects on AI in my academics and work experiences. My skills include machine learning, Deep Learning and NLP for AI, SQL, data studio, and GCP for data analytics. Fluency in multiple languages enhances my ability to communicate effectively, making it easier to collaborate in multicultural environments.
I work as a Data Scientist (Work-Student) at “Wayfair”, where my primary responsibilities include sales forecasting and inventory data modeling, as well as monitoring key performance metrics for suppliers. I have hands-on experience with Python (including machine learning and deep learning), BigQuery (SQL), Google Analytics, and Google Looker Studio (Power BI or Tableau). Also learned to make changes in python code using Git (version control system).
Previously, I have contributed at “Data Glacier” as a Data Scientist intern, where I predicted customer behavior for a Portuguese Bank. My task was to identify loan seekers based on the customer’s banking history. I also created an interactive web page and deployed it on Heroku.
I also learned Natural Language Processing (NLP) in a short span of time (1 week) to perform sentiment analysis of the customer’s review on the Bank. This project has enhanced my programming skills in Python, and SQL. I worked as an Application Development Associate at “Accenture Solutions” (India), where I developed web pages to meet client requirements using C# (MS Visual Studio) and was also responsible for managing client website content along with server patching activities.
I got proficient with agile methodology in corporate environment.
I am pursuing a Master's in Electrical Engineering and Information Technology at Otto-von-Guericke University. Currently, I am writing my thesis on artificial intelligence, with a focus on predicting the power output of a solar power plant and wind farm in an isolated system by considering all relevant factors. The thesis topic demands deeper understanding of time series forecasting and deep learning algorithms.
