Aug 2022 – Oct 2023 · 1 yr 2 mos · Bellevue, Washington, United States · Remote

• Led a strategic initiative to provide diverse Insights Signals, like upsell and cross-sell opportunities, to customer-facing teams, effectively improving key metrics like reducing customer churn, and improving overall customer perception
• Automated the taxonomy updates process by creating a Python script that reduced manual intervention by 90%
• Performed a deep dive analysis of abandoned customers to identify all possible reasons that led to the Insights Signals initiative

Mar 2021 – Mar 2022 · 1 yr · Seattle, Washington, United States · Hybrid

• Conducted end-to-end analyses from data requirement gathering in addition to data processing and modeling
• Identified cracks in the Traffic pipeline through data audits and built quality checks that reduced data loss by 80%
• Partnered with cross-functional teams to identify new opportunities requiring the use of modern analytical and modeling techniques
• Collaborated with Product & Customer Success managers to launch new products/features as well as improve existing ones
• Implemented outlier detection techniques & performed RCA on the organic, ad clicks to proactively address customer queries

Jul 2020 – Mar 2021 · 8 mos · Menlo Park, California, United States

• Designing A/B tests and created ETL pipelines to improve advertising strategy by working with cross-functional stakeholders
• Automated re-structuring columns (JSON format) using SQL, Python helped reduce time to resolve issues for various teams
• Optimized SQL queries reduced dashboard latency by 70% & segmented Ads based on user profiles improved CTR by 4%

Jun 2019 – May 2020 · 11 mos · Greater Minneapolis-St. Paul Area · Hybrid

• Client: Fortune 500 Healthcare Devices Manufacturer
• Pulled orders, inventory, customer, shipping datasets from SAP system & transformed them using UNIX commands
• Engaged with Subject Matter Experts to understand their supply chain process to merge datasets accordingly
• Predicted orders that might get delayed using CatBoost model (AUC 94%) & built a Tableau dashboard to track KPIs
• Worked cross-functionally with inventory & transportation teams to design deployment strategies
• Documented steps to replicate the analysis for other business units & steps to retrain the model for COVID-19 like situations
• Client: Leading Hospitality & Entertainment Business in Midwest
• Revamped coupon mailing strategy by defining customer segments using K-Means clustering in Python & recommended coupons using collaborative filtering leading to an increase in headcount by 60K with $3M revenue per year
• Client: Mall of America
• Coordinated a team of 6 students to present a statistical rundown highlighted gap in shift timings. Utilized R to wrangle 3 years of call data, identified patterns and visualized insights using Tableau

Jan 2019 – May 2019 · 4 mos

• Demonstrated ability to combine quantitative and qualitative findings in order to frame the right questions and deliver actionable insights for 2 high visibility US client projects by working with moving parts in an agile environment
• Productization of analytical insights in collaboration with product managers, end-users, developers, and other stakeholders to integrate data discoveries and processes into operational capabilities
• Optimized call center operations using an XGBoost model to reduce frequent callers has resulted in savings of $2.4M
• Designed A/B tests for pilot release of ML models to compute effectiveness in real-world for full-scale implementation
• Tools used - PySpark, SparkSQL, HDFS, H2O, Tableau

Jan 2018 – Dec 2018 · 11 mos

• Import, clean, transform and validate data from multiple sources in preparation for machine learning and dashboarding
• Designed and delivered KPIs, trend analysis, dashboards, and analyses including segmentation, optimizations and other techniques to improve business function performance
• Enabled customer outreach program with a list to target by performing cost-benefit analysis resulted in savings of $290K
• Mentored 3 junior analysts in learning Python & SQL and created standard operating procedures for good coding practices
• Deployed ML models by automating end-to-end ETL flows with quality controls in place & dashboards to track KPIs
• Engineered features & assigned weights using simulations to prioritize families with special needs children for a hasslefree experience resulted in 5 points increase of Net Promoter Score
• Tools used - MySQL, Sqoop, Hive, Tableau, Unix scripting, Python scripting, HDFS

Jun 2016 – Dec 2017 · 1 yr 6 mos

• Increased efficiency of employees by extracting provider details from documents has saved 30% of data entry time
• Standardized provider addresses across all data sources using sound & distance-based algorithms to improve data quality
• Built logistic regression model to predict provider churn helped campaign teams reduce churn rate by 20%
• Researched Python’s Optical Character Recognition packages to optimize manual document routing process across multiple departments by identifying checkboxes in scanned documents
• Tools used - Python (Pandas, Scikit Learn, Docx, Tesseract, OpenCV), SQL (D-Levenshtein ratio, Soundex)

Jul 2015 – Dec 2015 · 5 mos · Hyderabad Area, India

• • Drafted research reports for clients on industry and markets by interpreting information from various sources like Bloomberg, company reports, and news articles to form views on the industry, key trends, and individual companies.