Akriti Ahuja Email & Phone Number

United States

United States

United States

- Designed website to run R and python codes that performs data analysis and visualisation

United States

- Worked on pricing fluctuations of mecdicines based on demographic and insurance policies- Performed survival analysis - Visualisation of pricing and retail trends of medicines

San Diego, California, United States

Global Business Strategy

Atlanta, Georgia, United States

- Ecommerce data analysis using google analytics and adobe analytics for behavior, acquisition, product, and revenue insights.- Understand trends and past results in acquisition, behavior, and conversion by reviewing and reporting on YoY metrics of key channels, landing pages and categories. Digital traffic analysis with keyword search, product and website performance day-over-day, week-over-week and year-to-day analysis metrics to develop strategies.- Built visualization for patterns using web data to forecast web income, customers, and return on investment using machine learning.- Using RFM analysis developed customer segments and predicted customer lifetime value and revenue for different segments.- Identified insights on product pricing based on buying habits of customers. Experimented with cross selling and upselling.- Participated in product and web strategic planning for weekly website analysis.- Design and build product, category, promotional and financial interactive dashboards for internal and external usage.- Conducted A/B testing on emails and website to provide insights on consumer behavior.- Segmented customer based on demographic and interest to develop personalized product recommendations via email/sms.- Successfully developed product strategy that resulted in a 10% increase in revenue and a 0.06-point increase in website cart conversion.- Achieved a +15% ROI by developing predictive models to calculate customer lifetime value (CLV) and cost of acquisition.

San Diego, California, United States

- Built a personalized recommender system using machine learning to improve customer experience and increase website engagement.- Conducted an experiment to increase revenue by 67% by implementing pop-up displays on the website.- Utilized data analysis tools such as Google Analytics and Tableau to gain insights for financial data on quarterly bases.

- Assisted in the Development and maintenance of Data collection and analytic tools; including databases related systems. - Analyses for financial usage and fraud using python for business requirement and practical insights.- Collaborated on network analytics and minimized distance and transport facilities by 10%.- Solved the oxygen shortage problem by 30% during covid by analyzing past data and predicting the required amount of oxygen.- Created Power Bi dashboards with specific specifications to forecast power use across various demographics. Predictions were made based on events that occurred prior to and during COVID to better understand how power was used, saving 15% on electricity.- Optimized ad types for target audiences by maintaining data collection and analytical tools, leading to enhanced marketing campaign effectiveness and business goal achievement.- Ensured successful execution and delivery of marketing campaigns by providing project management and list management support, resulting in streamlined operations.- Transformed quantitative findings into practical insights and improved program performance using Power BI reports and problem-solving process design efforts, driving data-driven strategies.- Identified actionable insights through conducting multivariate statistical analysis techniques to analyze data and produce preliminary reports, enhancing decision-making capabilities.- Satisfied stakeholder requirements by utilizing SQL queries on industry-level databases to formulate ad-hoc reports, enabling informed decision-making tailored to target audiences.

Deployed a decision tree and query analysis on the given dataset to predict match winner, number of wickets, batsman performance and other such criteria for every match of Indian Premier League (IPL) which help test accuracy of different algorithms.

- Employed predictive analysis using machine learning algorithms such as regression, clustering and classification on stores and shipment data to predict revenue of each store and optimum shipment cost of delivery.- Developed a dashboard for exploratory data and descriptive analysis to derive the causes for gain/loss and insinuate an investment plan.

Mumbai, Maharashtra, India

Mumbai, Maharashtra, India

Mumbai

Webservice implementation with industry level database:Exploratory data analysis of insurance claims data with predictive modeling to forecast volume of claims and generate SQL ad-hoc reports.

Master'S Degree, Business Analytics

Relevant Coursework: Business Analytics in Marketing, Operations and Finance, Data Driven Communication, Recommender Systems, Supply Chain.

Bachelor Of Technology - Btech, Information Technology

Relevant Coursework: Data Structures and Algorithms, Data Warehousing and Mining, Advanced Database Management, Management of Information.

High School Diploma

Activities and Societies: Prefect Of Senior School