Vishnu Shankar

Business Development Executive

Bengaluru, Karnataka, India4 yrs 9 mos experience

Highly Stable

Key Highlights

Architected predictive planning platform saving 1,100 hours/week.
Engineered ML forecasting platform improving accuracy by 85%.
Led analytics teams to drive significant business insights.

Stackforce AI infers this person is a Data Analytics professional in the EdTech and SaaS industries.

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Skills

Core Skills

Business Intelligence (bi)Data AnalysisMachine LearningData ManagementData Visualization

Other Skills

Python (Programming Language)SQLData WarehousingData ExtractionData ModelingExploratory Data AnalysisAd Hoc AnalysisBusiness InsightsBusiness AnalysisDashboardsVBA ExcelPandasAWS BedrockRedshiftStreamlit

Experience

4 yrs 9 mos

Total Experience

3 yrs 8 mos

Average Tenure

1 yr 1 mo

Current Experience

Amazon

Business Intelligence Engineer

Apr 2025 – Present · 1 yr 1 mo · Bengaluru, Karnataka, India · On-site

Architected Katha AI, a predictive planning platform (AWS Bedrock, Python, Redshift, Streamlit) serving 350+ users across 5 BUs and 250+ sites; projected to save ~1,100 hours/week at full adoption.
Engineered FutureCast, an ML forecasting platform (Python/Prophet, S3, Redshift, QuickSight) across 62 sites for 14-week attrition predictions — improved accuracy by 85% (MAE: 0.35 vs 2.4), saving $750K+ annually.
Designed a Plan-to-Actuals BI pipeline for 12 MENA FCs (Python, SQL, QuickSight) with real-time variance tracking — reduced validation effort by ~80% and cut turnaround from ~45 min to ~10 min per cycle.
Constructed an FCLM Compliance Audit solution across 20 EU countries and 100+ AMZL stations via SQL, S3, and QuickSight — raised compliance from ~75% to 98% and eliminated ~€500K+ annually in avoidable labor costs.
Developed VBA-based planning tools (Roadster + Misc Hours) with Redshift/ODBC (44 queries) and cURL/JWT API to ALPS — cut labor input time by ~70%, data pulls by 90%, uploads from ~30 min to under 2 min.
Drove Japan’s ALPS adoption by creating ETL pipelines (Python, Redshift, QuickSight) processing 2.1B+ rows across 17 SQL modules — pilot achieved ~10% TPH gain and ~15% OT reduction; approved for 32 FC rollout ($5–6M+ projected).
Directed SBIT platform migration from Amazon Q to Quik-Suite, leading 4 members to deliver 6 AI tools — scaled to 150+ users across 3 regions, 8,000+ requests/quarter, 92% satisfaction, ~$200K+ annual savings.
Coordinated migration of 61 ETL pipelines across 5 legacy Redshift clusters to unified DTP-DEV platform, resolving upstream dependencies (Andes, S3, Galaxy MDM) with zero data loss.
Mentored 6 BI interns and guided a cross-functional BI/BA team through structured onboarding, weekly knowledge-transfer sessions
Launched KPI governance dashboards (QuickSight) with automated project tracking reports mapped to VP/director-level goals, improving leadership alignment and transparency.

Python (Programming Language)SQLData AnalysisData WarehousingData ExtractionData Management+11

Byju's

4 roles

Assistant Manager - Analytics

Jul 2022 – Apr 2023 · 9 mos · On-site

Led a 4-member analytics team; drove experimentation, retention strategy, and process standardization.
Managed sprint planning and code reviews for 4 analysts, reducing onboarding time by 40% and improving delivery velocity by 25%.
Executed A/B tests (SQL, Amplitude, Optimizely) on key product features, increasing interactions by 14% and improving 30-day retention by 8%.
Applied time series analysis (SQL, Python) on event logs to identify churn patterns, developing re-engagement workflows that boosted MAU retention by 15%.
Standardized analysis templates and request intake workflows, reducing ad-hoc turnaround by 30% and enabling consistent cross-team delivery.

Machine LearningPython (Programming Language)Data VisualizationData ManagementData ExtractionData-driven Decision Making+26

Lead -Analytics

Promoted

Jan 2022 – Jul 2022 · 6 mos · On-site

Managed marketing analytics and funnel optimization; guided 2 junior analysts toward independent delivery.
Defined marketing KPIs across acquisition funnels using Google Analytics, BigQuery, and Looker Studio, improving campaign conversion by 13%.
Forecasted conversion funnels (Python, Prophet) to enable precise budget reallocation, reducing customer acquisition cost by 6%.
Investigated refund patterns using SQL and Python, identifying root causes that reduced refund rates by 10% and improved net revenue retention.

Business Intelligence (BI)Qualitative AnalysisBusiness AnalysisSWOT analysisStatistical AnalysisProduct Analytics+8

Senior Associate - Analytics

Promoted

Jan 2021 – Jan 2022 · 1 yr · On-site

Spearheaded operational reporting automation and data pipeline reliability.
Overhauled ETL pipelines to handle 150% data volume growth, optimizing processing speed by 20% via Python-based batch automation across 4 sources.
Delivered automated Tableau dashboards replacing 6+ hours of weekly manual reporting, reducing effort by 35% with real-time team capacity visibility.
Detected anomalies in operational data using Z-score analysis (Python, Pandas, SciPy), triggering corrective actions that improved quality scores by 8%.

Business Intelligence (BI)Qualitative AnalysisBusiness AnalysisData AnalyticsData VisualizationProduct Analytics+18

Associate - Analytics

Aug 2019 – Jan 2021 · 1 yr 5 mos · On-site

Established foundational data quality frameworks and performance measurement for content operations.
Implemented data validation workflows (Excel, SQL, Pandas) across 3 business functions, improving accuracy by 20% and reducing downstream errors.
Revamped scoring matrices using SQL and Pandas, improving assessment effectiveness by 40% and standardizing criteria across 5 teams.
Created Tableau tracking systems that improved operational throughput by 15%, providing managers with weekly actionable insights.

VBA ExcelExcel DashboardsPower BIExtract, Transform, Load (ETL)Microsoft ExcelMicrosoft PowerPoint+6