Deepa Narayanan
Data Engineer @ PepsiCo
About
Clifton Strengths Finder Top 5 Strengths: Relator | Restorative | Responsibility | Harmony | Achiever The evolution from a sincere tech neophyte to an accommodating team player and mentor kick-started about 3 years ago as I acknowledged my role as a Data Analyst and Business Intelligence Developer. The analytical outlook coupled with a customer-centric attitude is what helped me contribute to converting every project at hand into a success story. In the quest of gaining further analytical knowledge in the data-driven world, I have decided to pursue a Master's in Business Analytics and Information Management. I have been working on Azure cloud technologies and built nearly 30+ Power BI Reports thereby establishing myself in the team as a reliable person who can handle questions pertaining to data modeling, data processing, scalability, (Extraction, Transformation, Loading) ETL and sustainable report development. My proficiency with DAX helped me define and optimize required KPIs as requested by the business users. My competence with pyspark and T-SQL helped the team immensely in seamless migration from On-Premise data solutions to cloud technologies. Tools and Cloud Technologies: 1. Power BI 2. Azure Synapse Analytics, Azure Data Factory, Azure Data Lake Storage, Azure Databricks, Azure Dev Ops, Azure Analysis Service 3. SQL Server Management Studio (SSMS) 4. Power Automate 5. DAX Studio, Tabular Editor 6. Jupyter Notebook 7. Power Shell 8. SQL Server Integration Services (SSIS) 9. Tableau
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United States
Retail
People Management, Azure Data Factory, Azure Data Lake, Time Series Analysis, SQL Server Integration Services (SSIS), Databases, Microsoft SQL Server, Python (Programming Language), Tableau, Problem Solving, SQL, Data Collection, Software Engineers, Data Visualization, Agile Methodologies, Transact-SQL (T-SQL), Data Warehousing, Data Mining, Business Analytics, Requirements Gathering
Experience
Data Engineer
PepsiCo
Texas, United States
Data Engineer
Meijer
West Lafayette, Indiana, United States
Building a demand forecasting tool to solve On Shelf Availability issue using Data Engineering and Visualization techniques.
Student Program Coordinator
Purdue University Daniels School of Business
Masters JS Tutor
Purdue University Daniels School of Business
West Lafayette, Indiana, United States
Krenicki Center For Business Analytics & Information Management Research Assistant
Purdue University Daniels School of Business
West Lafayette, Indiana, United States
Analyzing data sets and trends to predict a potential vendor and showcasing success factor via interactive visualizations
Software Engineer 2
MAQ Software
Mumbai, Maharashtra, India
-> Worked on Data Extraction, Transformation and Loading activities via automation tools like Azure Data Factory and Synapse Analytics. -> Managed data storage via data warehousing, data lakes and SQL Database -> Designed and maintained scalable data pipelines to migrate data sources from on-premise to cloud. -> Performed data validation post migration to ensure high quality, consistency and accuracy. -> Collaborated with Data Stewards, Business Analysts and Data Science stakeholders to develop and deploy data-driven applications and analytical solutions. -> Mentored 100+ Business Users to create self-serving dashboards. -> Performed POC to implement dual mode solutions in Power BI to get the best of both worlds i.e. Direct Query and Import Query.
Software Engineer 1
MAQ Software
Mumbai, Maharashtra, India
-> Designed and developed BI solutions to bridge the gap between Business Analysts and Developers. -> Created Dashboards and Reports in Power BI to provide real-time actional insights to enhance business performance and reduce manual time. -> Built data models to support data analytics and optimized querying. -> Worked on Role based access for Dynamics 365 to protect sensitive data. -> Collaborated with business stakeholders to understand data requirements via Azure Dev Ops and planned out backlog items to deliver solutions. -> Created a Support Ticket Recommendation system to reduce technician's SLA to solve a ticket and provide insights regarding headcount and customer satisfaction.
Machine Learning Intern
Cere Labs
Mumbai Area, India
Worked with two research projects during my internship, Tesseract 4.0 (lstm training) and Image Processing for improving the perception of images.
Android Developer
Catseye Consultancy Services
Ghansoli
Contributed in building UI/UX prototype for App modules in Android Studio
Education
Purdue University Daniels School of Business
Business Analytics and Information Management
Data Mining | Time Series Forecasting | Business Analytics | Organization of Structured and Unstructured Data | Data Visualization | Cloud Computing (AWS) | Big Data | Change Management | IT Innovation | Communication and Persuasion | Data Simulation | Spreadsheet Modelling | Marketing Analytics
Vivekanand Education Societys Institute of Technology Sindhi Society Chembur Mumbai 400 071
Computer Science
Savitribai Phule Pune University
Secured 89.19 percent in Science Stream
Savitribai Phule Pune University
Secured 94.14 percent in 10th boards
Deepa Narayanan's Contact Information
Phone
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