top of page

Professional skillset

SQL

Python (programming)

R (programming)

AWS

Tableau

Power BI

MS Excel (VBA, Pivot, Lookup)

Adobe Analytics

A/B Testing

Data story-telling

Data Visualization

Strategy and Recommendations

Education

MS in Business Analytics (STEM)

Foster School of Business,
University of Washington
June'22 - June'23 || Seattle, USA
Revelant coursework:

  • Probability and Statistics 

  • Data Visualization & Storytelling

  • Customer Analytics

  • Analytics for Firm Decisions

  • Machine Learning Methods and AI

  • Pricing Analytics 

  • Digital Marketing 

  • Operations Research Data Analytics

  • Operations and Supply Chain Management 

Computer Science and Engineering (B.Tech)

Manipal Institute of Technology,
Manipal University
June'15 - June'19 || Manipal, India
Revelant coursework:

  • Data Structures

  • Object Oriented Programming

  • Design and Analysis of Algorithms

  • Computer Network

  • Database Systems

  • Software Engineering

  • Operating Systems

  • Distributed Cloud Computing

Experience

Data Analyst

Voto Latino

A civic engagement organization focusing on creating an inclusive democracy through digital campaigns

July'23 - Present || Washington, DC, United States

Analytics Consultant

Microsoft

Innovative technology leader driving global impact through software, services and devices

March'23 - May'23 || Seattle, WA, United States

  • Identified 7+ metrics such as revenue per thousand searches in collaboration with the marketing team to build a time series machine learning model which would help understand and forecast growth for 100+ countries.

  • Used K-means machine learning - clustering model to group similar countries and condense 100+ countries to 6 clusters.

  • Added seasonality effect in 5 global clusters of 100+ countries to understand the effect of a particular event on regions. This helped the team understand the growth seen during the event of regional festivals (e.g. Christmas, Thanksgiving)

  • Created business insights through 15 visualizations using Tableau and presented through dashboards and stories, to demonstrate the growth in Revenue per thousand searches to non-technical stakeholders in a story telling format.

Senior Data Analyst

Bombay Marketers (Co-founded)

A marketing start-up that provides digital marketing services to 9+ clients and achieved 100% success rate in my tenure there

August'21 - June'22 || Mumbai, India

  • I was responsible for managing the analytics from start at this start-up.

  • I was required to run a deep dive analysis on the client data to provide them with recommendations and insights on business strategy. ​

  • Increased average sales by 11% for 9 clients across 6 different industries using statistics and machine learning data modeling to detect the most effective social media ad platform in the local market and drive recommendations using Python.

  • Retained 80% of clients by presenting customer focused strategy to the clients and key stakeholders on online ad campaign reviews by producing 5 dashboards with story visualizations and reports every week through the utilization of Tableau.

  • Performed customer analysis for clients to segregate the top 10% clients using Recency, Frequency, Monetary (RFM) model and exploratory analysis for targeted marketing, which led to a boost in sales by an average of 14%.

Software Engineer

Philips Healthcare

A global healthcare technology company that develops and manufactures healthcare devices

January'19 - July'21 || Bangalore, India

  • Increased sales by 15 million dollars by listing features to be implemented as per highest customer requirement through trend analysis of Philips global data using Python and SQL on data imported by ETL pipelines.

  • Improved the flagship product performance by 2% by formulating metrics and optimizing top 10 KPIs, resulting in an increase in revenue of $500,000 and increase in customer satisfaction by 15%.

  • Improved operations by leading a cross-functional team project which aimed at developing a feature to improve the process of data analysis by saving 20 hours of individual employee effort for a weekly occurring task using Python.

  • Developed 12% of the total feature development target by collaborating with different teams across the globe using C++, software architecture and object-oriented programming.

  • Delivered 2 presentations every week to key stakeholders to introduce new features and fix bugs with unique solutions.

  • Developed an application (Static Analysis Tools), where the user could run the tool on the source code and be signaled Go/NoGo by the app, based on code quality and parameters set. (C++, WPF, WCF, CSS, SQL, OOP)

bottom of page