I am passionate about unraveling the amazing narratives hidden in data and making tactical decisions out of it.
I am currently pursuing my Master's in Information Science at the University of Washington specializing in Data Science and Business Intelligence.
Prior work experience in Data Engineering and Software Development domain and skilled in JAVA, SQL, Python, R, Data Warehousing, ETL Process and Data Visualization.
• Programming Languages -JAVA, SQL, Python, R, SAP Core Data Services
• Libraries - NumPy, Pandas, scikit learn, Matplotlib, ggplot2, dplyr
• Tools- Tableau, Power BI, SAP Analytics Cloud, Lumira, SAP Business Objects, MS Excel, Business Objects Data Services, SSMS
• Databases : MS SQL, No SQL, SAP HANA
• Statistical Concepts - Calculus, Linear Algebra, Distributions, Probability, Regression, Hypothesis Testing
As a Master's student, I have taken up courses on Statistics for Data Science, Machine Learning, Natural Language Processing, Data Warehouse(Extract,Transform,Load), Data Visualization , Relational Database Management Systems, Business Intelligent Systems, Data Modelling and Architecture, Data Structures and Algorithms.
I am always on a constant mission to improve my skills and learn new things. I enjoy meeting new people and hearing new perspectives.
A skilled communicator, and able to translate complex analyses into understandable and actionable ideas, I come equipped to always look for the simplest and the most efficient solution. I am passionate about contributing to tech companies that are keen on making a positive impact.
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Experience
Deloitte Consulting, Mumbai, India
Software Developer Jul 2017 - Aug 2019
• Actively developed client’s analytics platform by leveraging SAP’s Big Data Architecture intended to support over 6000 business users.
• Enhanced the performance of dashboards by 40% and improved data retrieving efficiency by performing SQL Query optimization.
• Developed Core Data Service and SAP HANA Calculation views on the backend and frontend reports using Tableau for the migration of Operating System in ECC to a single finance ERP platform using SAP’s latest technology S/4 HANA and boosting performance by 50%.
• Integrated and migrated data from an ECC operating system to SAP's latest real time business suite by creating efficient ETL jobs for client that improved performance and analytics by almost 10 times.
• Created an interactive data visualization dashboard using SAP Analytics Cloud and 15(out of 40) reports using SAP Predictive Analytics using live data connection for a $11.5 billion pharma client spread across 10+countries to do out-of-the-box reporting and brought together the scattered life sciences processes reducing overall timeline by 50%.
• Worked with Business Heads on strategy planning and development of a company with Assets under Management of more than USD 2000 Mn.
• Derived insights from data, building innovative disruptive business models, ideate solutions and execute strategies for business development and risk mitigation.
• Drive delivery of Technical Architecture & Design documentation for implementation of new processes/procedures
• Increased accessibility and usability of customer data by redesigning data visualization techniques to provide seamless integration with existing business suites along with standard reports on SAP Cloud for Customer.
• Implemented real-time operational engagement reporting directly on S/4 HANA with modern FIORI Front end.
• Responsible for conceptualizing business requirements and designing compliance rules and quality check processes for monitoring critical clinical workflows for a global pharmaceutical company spread across Japan, EU and USA.
• Worked on internally developed data quality tools – presented demos to potential clients and gathered requirements, performed database migration, helped with defect fixing and trained new employees on the tools.
• Assisted in producing end-to-end roadmap of an IT migration strategy
Intern, Ericsson India Global Services Jun 2016 - Dec 2016
• Worked on Internet of Things and data communication networks and TCP-IP protocols, ARM based boards on a project that accepts and send the data to and from client to the server which then sends an email to the person.
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Projects
Job Portal Management System (RDBMS) Jan 2020-Present
• Conducted employer and candidate research, gathered and identified their preferences of using a job portal
management system.
• Modelled a relational database schema using Entity Relationship (ER) Diagram and Normalization techniques (3NF) to store, retrieve
and update data, implemented column data encryption, CHECK constraints and computed columns to fulfil business needs.
• Implemented the database in MS SQL server, generated database views and created analytical reports and visualizations using Tableau
Predictive Analysis of Global Opinion, World Values Survey Nov 2019
• Performed classification using k-NN, logistics regression, and SVM (in Python) by implementing k-fold cross validation to predict the global opinion on abortion and evaluated model performances using accuracy and F1 score
Data for Good, NASA International Space Apps Hackathon, Winner Oct 2019
• Developed a sustainable, green infrastructure solution, “Data for Good”, an interactive interface aimed at tackling challenges in climate change and risk reduction using Machine Learning algorithm(Python, R) and giving the users a peek into the future which would enable them to take steps to conserve the environment.
Predicting California Housing Prices using Regression Oct 2019
• Performed exploratory data analysis to develop detailed insights that will benefit real estate firms and built a statistical model using Machine Learning algorithm(Linear Regression) to predict the price of different houses located in California based on different parameters
• Used stepwise model selection using leaps to find the model that best predicts the median house value
with a low error rate.
Analysis of Uber’s Ridership Data in New York City- Data Visualization Sep 2019
• Project focused on the intensive data analysis of ride calls from travelers, analyzing the pattern of the trips and peak hours of rides, including generation of monthly, weekly and hourly plots of user requests
Integration of SAP Analytics Cloud for Customer and HR Mar 2018
• Project focused on identifying business important KPIs for integrating SAP Analytics Cloud with SAP Success Factors for Customer and HR using rich interactive dashboards for desktop and mobile versions.