Twinkle Inamdar Email & Phone Number

Chicago, IL, US

• Provided support for data governance program by managing end-to-end process for updating and verifying special orders data
• Managed Data Warehouse which houses information from various HR applications, including Workday, on the Human Re-sources Data Management Team
• Ensured data accuracy through the creation and implementation of data integrity queries using SQL & AWS Services
• Generated queries from database using Redshift to effiently extract and format the client requirements & inventory data
• Used various Machine Learning algorithms using Python and its concepts (Pandas, NumPy, SciPy, Adas) as data - preprocessing, Regression, training, classification etc and appropriate model selection techniques
• Provided support of data feeds, logic, and ETL for the HR Data Warehouse.

United States

• Worked closely with the tight-knit dev team
• Help build, maintain, and enrich companies data warehouse using Postgre SQL
• Ensure to maintaining data integrity across the companies entire pipeline
• Setup data pipelines from web application, and funnel to data warehouses
• Build out full fledged customer segmentation funnels for end users
• Understood business needs and translate into KPIs and making reports as well as analyzing them

Bethany, Connecticut, United States

• Leveraged Amazon Web Services and AWS amplify constructed a Progressive Web App for distribution of Covid-19 drugs from Hospitals to automate payment transaction process for the $117M e-pharmacy market to avoid.
• Utilized GraphQL and React based JavaScript for easy usage and 20% higher scalability
• Developed predictive models using Python (Pandas, NumPy, TensorFlow) to predict possibility of equipment failure
• Collaborated with stakeholders in the business to better understand business drivers and data sources
• Defined business requirements and turned it into a working prototype app with the use of visualization tools such as Tableau

Boston, Massachusetts, United States

• ALY-6050-Introduction to Enterprise Analytics introduces the field of enterprise data analytics, which is defined as the extensive use of data, statistical and quantitative analysis, exploratory and predictive models.
• Manged class of 29 students and assisted them with their assignments using R and MS-Excel
• Advised students with probability and statistics concepts including Discrete and Continuous Probability Distributions, Sampling, Estimation and Simulation, Decision Modeling and Risk Analysis, Regression and.
• Guided students with Northeaster’s blackboard and canvas tool
• Mentored students over email and during office hours in zoom calls

Boston, Massachusetts, United States

• ALY 6070 – Communication and Visualization for Data Analytics offers an overview of key informational design concepts, with the emphasis on the relationship between information and audience in the context of.
• Conducted lectures highlighting the hands-on applications of data visualization tools like Tableau to the class of 30 students
• Assisted students with their assignments using Tableau.
• Guided students with Northeaster’s canvas tool and their weekly assignments
• Mentored students over email and during office hours on the zoom sessions

Boston, Massachusetts, United States

• ALY 6010 – Probability Theory and Introduction to Statistics introduces statistics for business analytics from an analysis-of-data viewpoint. Topics include frequency distribution; measures elementary probability.
• Conducted lab sessions on emphasizing the hands-on application of probability and statistics in R.
• Assisted students in solving problems of Descriptive statistics, Hypothesis testing, and Linear Regression.
• Guided students with Northeaster’s blackboard tool and their weekly assignments
• Mentored students over email and during office hours on the zoom sessions

India

• Processed, cleaned, and verified the Google search data to scrutinize information using Python (Pandas, NumPy, SciPy) & Tableau
• Identified procedural areas of improvement through customer data using SQL to help improve the profitability of national-wide data by 7%
• Implemented security guidelines by deploying user filters and reduced private data exposure by 72%
• Built ETL pipeline ingesting transactional & event data from a website with 10,000 daily active users which saved 20% external vendor costs
• Created operational reporting in Tableau to find areas of improvement for contractors resulting in 100 hours of labor saved each month

Mumbai, Maharashtra

• Utilized Google Analytics and Tableau to evaluate online marketing acquisition, website visitor activity, and experiences at various stages of the software development life cycle, including requirements, analysis.
• Applied data modeling techniques with the help of Python (Pandas, NumPy, Matplotlib) to determine profit made from a vendor and increased efficiency of spend
• Established baseline performance expectations and participated in online product and program development to ensure tracking and measurement of new products
• Established and managed financial models and cash flow valuations for 90+ vendors on a regular basis
• Provided regular reports enterprise-wide on website performance to include in roll-up 360 reports
• Done early Fault Prediction to mitigate losses and enhanced website by making recommendations to senior management

Master'S Degree, Analytics

Bachelor Of Engineering, Electronics And Telecommunications Engineering