Isha Maikhuri
@ishamaikhuri
Assistant Manager at Techarc
Delhi
A post-graduate in Data Science with 4 years of hands-on data analytics experience. Passionate about working with large amounts of data and to turn this data into information, information into insight and insight into business decisions.
Experience
Assistant Manager
Techarc
Conduct data mining, data modeling, statistical analysis, business intelligence gathering, trending and benchmarking. Provide analysis of trends and forecasts and recommend actions for optimization. Designed and built statistical analysis models on large data sets (e.g., Amazon, Flipkart) that helped increase online sales (up to 15% per product). Created visually impactful dashboards in Excel and Tableau for data reporting by using pivot tables and VLOOKUP. Extracted, interpreted and analyzed data to identify key metrics and transform raw data into meaningful, actionable information. Helped organization with analysis that increased sales performance by 21%. Conducted in-depth analysis of stockroom operations that led to a 14% decrease in operating costs. Identified & actioned 10+ critical to business requirements/insights by collaborating with clients & internal stakeholders.
Analyst
Concentrix
Building out the data and reports to provide real-time insights on the product. Examining A/B experiments for products to improve the conversion rates of advertisements. Helping clients analyze the effects of the websites/Ads after A/B testing using ANOVA and hypothesis testing. Performing Explorative Data Analysis on the data like cleaning data, imputing missing data etc. Generating information and insights from data sets and identifying trends and patterns. Analyzing the performance of the advertisement using few Machine learning models like Ensemble techniques, Decision tree, CART, Random Forest, Regression models etc. Implementing long-term pricing experiment that improves customer value according to the needs of the advertisers. Create Storyboard using Tableau. Identifying procedural areas of improvement through customer data, using various predictive model and machine learning techniques like LDA, Logistic regression, Naïve Bayes, KNN Models, Bagging, Boosting, Cross validation.
Technical Support
Accenture
Assistant Managing Editor
Pulsus Health-tech
Education
Post Graduate Program
Data Science and Business Analytics
B.Tech
Biotechnology