I specialize in transforming data into actionable insights. With a Master's in Information Systems from Northeastern University and a Bachelor's in Electronics and Telecommunication from the University of Mumbai, I bring a diverse skill set to the table.
Professionally I worked for Tata Consultancy Services Ltd and White Wish Co, where I honed my skills in software development, data analytics, and project management. At TCS, I focused on scalable business solutions and utilized Apache PySpark for efficient data transformation and processing. During my internship at White Wish Co, I contributed to revenue growth and reduced product return rates through data-driven strategies.
In my academic projects, I've showcased my expertise in data engineering and business intelligence. From developing motor vehicle collision analysis using Alteryx and Power BI to architecting Azure Data Pipeline solutions, I thrive on solving complex data challenges and deriving insights for business problems.
With skills in data modeling, database management systems including PostgreSQL, MySQL, SQL, NoSQL, and cloud platforms like AWS (S3, Lambda, Redshift, EMR) and Azure (SQL, Data Factory), I am well-equipped to tackle diverse data challenges. I also have experience with Microsoft tools such as SSRS, SSIS, PowerPoint, and Advanced Excel, as well as Databricks, Talend, Snowflake, and Google BigQuery.
Additionally, my expertise extends to visualization tools such as Tableau, Power BI, Salesforce, RStudio, Google Analytics, Looker, and QlikView. Through these tools, I have demonstrated my ability to uncover insights and drive data-driven decision-making
Implemented a virtual trial room utilizing NumPy and Pandas, achieving an 82% accuracy rate with machine learning algorithms specialized in image processing and data refinement. Conducted in-depth analysis on a large-scale E-commerce dataset exceeding 40,000 rows, leveraging EDA techniques and statistical methods to unveil significant trends and actionable insights.