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!
- 🔎 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!
- ✨ 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.
