Shruthi Suresh

Data Science Intern

Tesla

Aug 2025 - Current (11 months)

Partnered with the BI team at Tesla on a survey-platform migration, rewriting and optimizing SQL queries for new table schemas that reduced Tableau refresh time from -5 min to 1 min (80% faster).Developing an Airflow-based pipeline to trace and quantify $30K in production scrap by linking defect and quality data across process stages, identifying faulty fixtures, and enabling real-time root-cause detection.Developing an analytics pipeline to investigate a manufacturing issue causing vibration defects in -200 vehicles by integrating multiple production databases via Airflow, Docker, Github to measure and analyze excessive gap variation between the current collector and the cell; resulted in 97% reduction in defects and praise from management

Data Science Analyst, Master's Intern

Suade

Apr 2025 - Jun 2025 (3 months)

Built a multimodal TikTok analysis pipeline combining audio, speech-to-text, video emotion, on-screen text, and LLM sentiment, raising comment-level sentiment accuracy from -50% to -80% and replacing single-signal analysis.Preprocessed and standardized TikTok dataset cutting modeling time by -33% (6 hours to 4 hours), reducing compute cost and noise, and enabling more consistent KPI rollups and dashboard insights.Launched a Streamlit dashboard turning multimodal signals into actionable insights, ranking influencers, identifying content gaps, optimizing posting windows, and providing a single sentiment KPI per video to guide marketing strategy.Key Skills and Deliverables: Analytical Skills, Problem-solving Skills, Tableau, Statistical Method

Analyst

ZS Associates

Oct 2021 - Dec 2023 (2 years 3 months)

Delivered SQL-driven ETL dashboards for reps, managers, and HQ used by 1,000+ LATAM users for a F500, cutting payout disputes/escalations by 80% and creating a single source of truth for incentive performance.Translated complex incentive plan rules into clear KPIs (Quota, Sales, Accomplishment %, Payout %, Bonus, Earnings-to-Target), aligning reporting with plan design and eliminating payout ambiguity.Built ETL-based data validation (LOA imputations, missing sales defaults, guarantee months, PK/FK/eligibility checks, UTF-16 standards), producing audit-ready tables and preventing portal failures/post-launch errors.Analyzed sales performance across pharma franchises using SQL and dashboards to identify critical KPIs, delivered insights that g

Intern

ZS Associates

Apr 2021 - Sep 2021 (6 months)

Designed dashboard mockups using ZS's new proprietary BI tool, enabled onboarding of the first client onto the platform; served as contact for issues, gathering business requirements, feature requests, and defects.

Senior Analyst

ZS Associates

Apr 2021 - Jun 2024 (3 years 3 months)

Cut the reporting cycle by 85% (3 days to 6–7 hrs) by building an automated ETL and reporting pipeline with DataHub, AWS S3 intake, SQL-driven transformations, and dashboard refresh.Reduced post-launch errors by 90% by developing a Python validation layer with business-rule checks, schema/date enforcement, automated QA, and audit trails.Delivered production-ready pilot system used as the reference for 30+ client pitches, leading SIT/UAT, demos, and dry runs with Product and Engineering.Improved large-scale data processing by implementing a job queue and split-file strategy for 20M+ row datasets, reducing timeouts and ensuring SLA compliance.Key Skills and Deliverables: Python, Data Analysis Tools, Tableau, Power BI, R

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