Data Science Scientist

Shreya Lokray

Seattle, WA ******.****@*****.*** 206-***-**** linkedin.com/in/shreya-lokray/

SUMMARY

Analytics and product professional with 3+ years of experience in SaaS, blending data science and product strategy to drive measurable impact. Skilled in predictive modeling, KPI design, and stakeholder collaboration. EDUCATION

Master of Science in Information Management, University of Washington, Seattle Sept 2023 – Jun 2025 Specializations: Data Science, Product Management

Bachelor of Engineering in Electronics and Communication Engineering Jun 2016 – Sept 2020 Chaitanya Bharathi Institute of Technology, India

EXPERIENCE

Data Scientist– Customer Experience, Seattle City Light, Seattle June 2024 – Present

• Segmented 1.5M+ households using statistical models (K-means clustering, time-series analysis) in Python to analyze energy utilization trends; delivered insights on Tableau dashboard, enrolled 200 inefficient homes

• Established 6 billing KPIs through customer journey mapping and user research, consolidated 10+ reports into a unified report for real-time trend monitoring of user engagement and costs, reducing manual requests by 40%

• Developed SQL CTEs and Excel formulas (pivot, lookups) to identify accounts with overdue payments eligible for autopay enrollment, projecting $4M savings, avoiding costs in write-offs and late payment interest

• Collaborated with cross-functional programs to identify process inefficiencies; integrated siloed datasets for auto enrollment; reduced administrative time by 25% and increased user acquisition by 15% in underserved areas Product Analyst, Deloitte Consulting USI Ltd., Hyderabad, India Jan 2021 – Aug 2023

• Led 6-person team to implement Salesforce analytics with ETL workflows, KPI dashboards and role-based access; reducing manual sales monitoring by 80+ hrs/week and improved timely lead follow-up by 20%

• Implemented Einstein AI analytics dashboard with predictive insights, forecasting case resolution time (via gradient boosting), resulting in a $3M revenue boost and 2-year client renewal

• Optimized SQL queries and data pipelines for Apex triggers, data transformations, and cleaning, reducing process runtime by 40% and deployment time by 50%, reducing time to market by 3 weeks

• Conducted funnel analysis, A/B testing and UAT testing to identify drop-off points in subscription flow; designed a new user flow reducing error responses by 90% and increasing conversions by 18% (2K/month) across 3 brands PROJECTS

Product Analyst– Carbon Slice (Seattle Climate Hackathon) May 2025

• Built MLIP optimization model integrating data from customer utility bills, carbon emissions and rate structures to provide optimal times of use for devices, shifting 30% of load to off-peak hours, reducing carbon emissions PulseCheck: LLM-Driven Employee Wellbeing System Apr 2025 – May 2025

• Developed LLM-powered Slack bot (Python, OpenAI's API) to automate workplace wellbeing evaluations, reducing process time from 2 weeks to 15 min (99% reduction); achieving 75% more responses than traditional surveys End-to-end BI System Implementation: Retail Sales and Performance Analytics Jan 2024 – Apr 2024

• Architected BI system with snowflake dimensional schema, ETL processes and data views in Snowflake, analyzing

$145M+ in sales data to create profits and bonus allocation based on store performance SKILLS

Programming: R, SQL, Advanced Excel, Python (e.g., pandas, numpy, matplotlib, plotly, Dash) Tools: Tableau, Power BI, Salesforce CRM, OracleSQL, Snowflake, Airflow, Jira, Confluence, Miro, Figma Data: Data Visualization, KPI Reporting, Data Mining, Statistical Modeling, Database Management Certifications: Salesforce Tableau CRM and Einstein Discovery Consultant

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