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Nihar Shah

Microsoft certified PowerBI Data Scientist/Analyst

Based in Boston, MA, USA

About

I am a Data Scientist with over 3 years of experience developing predictive models and analyzing extensive datasets. With a graduate degree in Data Science, I excel in machine learning, NLP, and deep learning techniques. I effectively communicate insights using Tableau, PowerBI, SAS, and R and leverage Python and SQL for data manipulation. I have robust experience building data warehousing solutions with AWS RedShift, Apache Spark, Airflow, and the Hadoop ecosystem. Additionally, I am proficient in statistical packages and BI tools such as SAS, Matlab, and R, and I possess strong problem-solving skills to drive actionable business insights.

Skills

Projects

Experience

May 2023 - Dec 2023

Data Scientist at RadicalX

• Optimized big data ingestion pipelines on Azure Databricks, accelerating processing speeds by 30%, by implementing efficient data processing workflows, enabling the deployment of real-time analytics for immediate business applications. • Enhanced user engagement by 40% through the design and deployment of predictive models in PyTorch, significantly contributing to a user base growth strategy by delivering tailored content. • Improved customer satisfaction ratings by 25% by collaborating with cross-functional teams to design and refine AI-driven chatbot interactions (LLM framework), enhancing user experience.

Jun 2023 - Sep 2023

Data Analyst at The 5 Gyres Institute

• Led a critical data cleaning initiative, reducing processing errors by 20% through advanced techniques in Python and Pandas, thereby increasing data reliability for key environmental research projects. • Created interactive dashboards and reports in Tableau, SSRS, and Power BI that provided insights on environmental data, significantly enhancing stakeholder decision-making processes.

2020 - 2022

Data Scientist at Neewee Analytics

• Directed the development and implementation of time-series forecasting models, achieving a 5% increase in supply chain efficiency and generating over $1M in annual savings. • Streamlined data workflows and supported predictive maintenance systems by engineering and deploying scalable machine learning solutions using PySpark, Hive, and Hadoop. • Developed network planning or logistics system monitoring digital twin, identifying issues faster than previous methods helping reduce the losses by 31%. • Conducted advanced statistical analysis and A/B testing to drive improvements in product quality, directly leading to an 11% reduction in quality assurance costs. • Enhanced model accuracy by 12% and reduced computation time by 27% by optimizing existing SQL queries to reduce the lag time.

Education

2022-2024

MS in Data Analytics at Northeastern University

I completed my Master's in Data Analytics at Northeastern University, where I gained a comprehensive understanding of data analysis, statistical modeling, and machine learning. My coursework and projects focused on extracting valuable insights from complex datasets, building predictive models, and effectively communicating findings through data visualization. This program equipped me with advanced technical skills in Python, SQL, and data visualization tools such as PowerBI and Tableau. It also honed my ability to apply analytical methods to solve real-world problems and support data-driven decision-making across various industries.

2016-2020

BTech in Computer Science at Navrachana University

I earned my Bachelor's in Computer Science from Navrachana University, where I developed a strong foundation in computer science principles, programming, and data structures. Throughout my studies, I gained proficiency in various programming languages, including Python, Java, and SQL, and learned to design and implement efficient algorithms. My coursework included subjects such as database management, software engineering, and machine learning, which provided me with a well-rounded understanding of both theoretical and practical aspects of computer science. This program equipped me with the problem-solving skills and technical expertise needed to excel in the field of data science and analytics.