Research Analyst

• Jun 2022 - Present

Business Analytics

• Aug 2021 - May 2022

•Created the Business Card scanner which would enable students to click a picture of the business card and upload the same using their MyASU account. OCR will detect the name of the concerned person, company, and related contact details such as email id and add the record in the universities database.•Done the sentiment Analysis on reddit data to predict whether the market is bullish or bearish. •Kaggle Case Competition on Santander Customer Satisfaction: Utilized Python’s Scikit learn machine learning library for various classification models such as Decision tree, Random Forest and did parameter tuning to classify if a customer is satisfied or dissatisfied with banking experience.•Revenue Prediction Kaggle Case: Predicted annual restaurant sales of 100,000 regional locations with demographic, and commercial data using stacked Random Forest, Gradient Boosting and SVM Regression Models•Homesite Quote Conversion Kaggle Case: Used customer and sales data to analyze which customer will purchase a quoted insurance plan using Machine Learning Classifiers and performed Hyperparameter tuning.•Optimization: Used the gurobipy to optimize the inventory cost and maximize the profit for companies. Show less

Consultant

• Dec 2021 - May 2022

• Developed a structured way to focus business resources on performance outliers with real potential for improvement. Find out the underperforming parts of the portfolio with potential for quality improvement is to compare repair rates across products and markets. It has reduced the dispatch rate from 3.5% to 2.8%. • Constructed a report which helped the company to focus on the low performing countries on case basis in terms of dispatch ratio. • Developed a structured way to focus business resources on performance outliers with real potential for improvement. Find out the underperforming parts of the portfolio with potential for quality improvement is to compare repair rates across products and markets. It has reduced the dispatch rate from 3.5% to 2.8%. • Constructed a report which helped the company to focus on the low performing countries on case basis in terms of dispatch ratio.

Principal Software Engineer/ Business Analyst

• Mar 2017 - Aug 2021

• Managed the Analytics department of inventory in the company including overbooking, last minute cancellations, and no-show issues. Decreased the revenue loss from inventory drastically and reduced the no-show percentage by 9% using Analytics and by making IVR and Manual calling process more efficient. • Constructed a real-time reporting infrastructure that standardized metrics across the company for stakeholders, saving 110 monthly hours of manual reporting. • Developed and presented weekly business review reporting dashboard using Tableau for the client which helped them to increase their business by 5% in a quarter, mainly involve the productivity of the agents and turnaround time on the cases. • Designed the sales planning optimizer to assign win probability score to client leads using machine learning techniques which resulted in channeling sales efforts optimally and reducing work rate by nearly 20% and increase conversion rate by 25%. Show less

Software Engineer / Salesforce Analyst

• Jan 2013 - Mar 2017

• Worked on Onshore- Offshore model as Offshore Lead and managed team of 10 people working from offshore. • Developed a data driven dashboard to enable financial planning across business segments to estimate operational cost. • Developed business plans, determine key performance indicators (KPI) and shared the measurement result. • Worked on loading Target tables from heterogeneous sources systems using ETL to ensure System Integration. • Optimized SQL queries for performance tuning, resulting in 60% decrease in querying time. • Automated a reconciliation platform to refine historical operational healthcare data which significantly reduced past inconsistencies by 95% and improved data integrity. Show less

student

• Jun 2008 - Jun 2012