Jan 2021 – Apr 2024 · 3 yrs 3 mos

• Creating opportunities and solving challenging problems in one of the most interesting data science industry, bringing together analytical solutions to business efficacy and elevate the customer experience.
• Building models and dashboards across equipment availability, logistics optimization, diversification, and rate strategies by using geospatial analysis and clustering, resulting in an agile and responsive business model.
• Developing large language models (LLM) to empower departments with Gen AI products using AWS and its services.
• Leading team of data scientists in building analytics and AI products and strategizing direction to generate maximum value and ROI across org.
• Working in the Performance Analytics team, having a solid relationship with Operations, Strategy, Finance teams to build impactful products, and uncover insights to create an optimized and productive business.

Oct 2018 – Dec 2020 · 2 yrs 2 mos

• Partnered with multiple departments by understanding the requirements, henceforth helping in framing problems, and offering innovative analytical solutions.
• Predicted machine breakdown and analyzed cost of confusion matrix for model implementation, resulting in 5% increase in customer satisfaction index from higher valued customers.
• Developed KPIs and built an actionable fleet availability dashboard which led to an increase in turnaround time by 10% YoY.
• Implemented zero-shot in NLP on unstructured descriptions, transformed labeling efficiency, and streamlined workflows.

Jan 2018 – May 2018 · 4 mos · Greater Phoenix Area · On-site

• Written complex SQL queries and extracted data to analyze services focused on customer retention & frequency, further creating a geospatial dashboard in Tableau to derive actionable business insights.
• Built a B2C model by predicting customers' spend for upcoming offers using linear regression algorithm on past data.
• Projected coupon performances to leadership and suggested offers to increase customer loyalty by measuring the strongest predictor in feature ranking.

Nov 2017 – May 2018 · 6 mos · Tempe

• Research:
• Conducted a fuel-saving experiment on hardware-based ML for Aviage Systems & General Electric, by suggesting optimal speed during the cruise phase of flight based on endogenous and exogenous factors, which can reduce flight cost significantly.
• CIS503: Decision Making with Data Analytics (under Prof. Uday Kulkarni)
• Graduate teaching assistant, grading and guiding students through learning the pragmatic implementation of analytics using Tableau, and the implementation of Data Mining using AzureML, Python.
• Developed the project material for Machine Learning application and solutions for assignments.
• TGM530: Big Data in the Global Economy (under Prof. Patrick Lynch)
• Guided peers to identifying challenges for any organization to implement Big Data solutions.
• Involved in analyzing and evaluating how the company or industry is using (big) data to deliver products and services.
• Created a two class and multiclass classification model, demonstrating the importance of selecting right features and performing exploratory data analysis to obtain high accuracy, as per business problem.

Nov 2015 – Jul 2017 · 1 yr 8 mos · Gurugram, Haryana, India

• Data Science:
• Built a machine learning model for identifying new customers' bad debt rates, reducing the overall expenditures by 8%.
• Analyzed data to identify the cause of weak network connection using regression model, increasing network efficiency by 35%.
• Created an interactive data visualization to correlate customers using different plans resulting in optimized user-based plans, increasing customer purchase behavior by 12%.
• Developed dashboards and reports to analyze and forecast sales, inventory to retail/vendors in B2B marketing.
• Tuned SQL query using indexing to retrieve the data 75% faster to flow into Tableau dashboard and give live insights on data.
• Leadership:
• Communicated data-driven insights with multiple cross-functional teams and stakeholders, and wore the hat of offshore lead to make Rushmore (critical sprint) go live on schedule.
• Transferred knowledge to different new teams involved in project deliveries.
• Recipient of the "Trendsetter" Award for innovative and quality deliverables for project releases.

Mar 2015 – Feb 2017 · 1 yr 11 mos · Greater Delhi Area

• Built a statistical model for growth strategies and improved customer experience and trust based on existing data, increasing revenue by 30%, and A/B testing on a website design with 95% confidence.
• Analyzed user data for each vendor and determined optimal location to serve customers incurring cost-cutting by 10%.
• Increased daily margin sales by 25% after implementing a promotional offer.
• Presented business model to angel investors with a detailed one-year plan incorporating market statistical calculations and data visualization.

May 2014 – Jun 2014 · 1 mo · Greater Delhi Area

• Analyzed government housing schemes data to provide recommendations on profitable channels which helped increase revenue in the long term
• Automated urban development report for senior managers to quickly gain data-driven insights
• Programming Language: SQL, Python
• Tools: Oracle, Jupyter, Tableau

Nov 2013 – Mar 2015 · 1 yr 4 mos · Greater Delhi Area

• Contributing articles on politics, sport etc.