Employee of the Month — Walitechs Solutions
Shashank
Singh
SENIOR DATA ANALYST  ·  POWER BI DEVELOPER  ·  BI ARCHITECT  ·  MBA
Results-driven analyst with 3+ years delivering enterprise BI solutions across Microsoft Fabric, Power BI, Snowflake, Python and AI-powered automation — reducing reporting time by ~50% across Sales, Finance, HR and Supply Chain.
3+Years Exp.
10+Dashboards
50+Stakeholders
50%Time Saved
★ Employee of the Month — Walitechs Solutions Pvt Ltd | ● Open to Work | Power BI · Microsoft Fabric · Snowflake · Python · AI Analytics
Microsoft FabricOneLakeLakehouseFabric Warehouse Power BIDAXStar SchemaRLS SnowflakePostgreSQLAdvanced SQL PythonPandasNumPyETL Pipelines D365 Business CentralDynamics AX Claude AIChatGPTNL-to-SQLPrompt Engineering Microsoft FabricOneLakeLakehouseFabric Warehouse Power BIDAXStar SchemaRLS SnowflakePostgreSQLAdvanced SQL PythonPandasNumPyETL Pipelines D365 Business CentralDynamics AX Claude AIChatGPTNL-to-SQLPrompt Engineering
💼
Professional Experience
Walitechs Solutions Private Limited
Oct 2023 – Present
SENIOR DATA ANALYST · GURUGRAM
  • Microsoft Fabric & Cloud BI: Architected enterprise Lakehouse, OneLake & Warehouse solutions integrated with Power BI for real-time analytics across Sales, Finance, HR and Supply Chain.
  • Power BI Dashboards: Built 10+ enterprise dashboards (Star & Snowflake Schema, DAX, RLS, drill-through) for 50+ stakeholders; reduced reporting time by ~50%.
  • Snowflake Engineering: Designed JSON pipelines via FLATTEN & LATERAL joins; Streams (CDC) and Replication for resilience.
  • ERP Migration: Managed Microsoft Dynamics AX data extraction; led full migration to Dynamics 365 Business Central with zero data loss.
  • Python Analytics: Processed 500K+ row datasets with Pandas & NumPy — improved data accuracy by 30% through automated quality checks.
  • ETL Automation: Automated 15+ weekly/monthly MIS reports via Python & Power Query — saving 10+ man-hours per week.
  • AI Productivity: Leveraged Claude AI, ChatGPT & Gemini for DAX, SQL scripting, report & mail automation — cutting dev time ~40%.
  • SQL Optimisation: Reduced query execution time by 35% across SQL Server, PostgreSQL and Snowflake using indexing, CTEs, Window Functions, Stored Procedures & EXPLAIN PLAN.
IndiaMART InterMESH Ltd.
Jul 2022 – Jul 2023
BUSINESS DELIVERY EXECUTIVE
  • Managed business delivery pipelines using data-driven methodologies ensuring operational SLA compliance.
  • Generated operational MIS dashboards and performance reports; supported C-level stakeholders through analytics-driven insights.
☷
Key Analytics Projects
01
Microsoft Fabric Data Architecture
Scalable Lakehouse & Warehouse on Microsoft Fabric with OneLake as unified storage layer for real-time cross-domain analytics.
↑ Unified data layer · Real-time
MS FabricOneLakeLakehouseWarehousePower BI
Lakehouse code →   BC → Fabric AX views →
02
Sales & Product Intelligence Dashboard
Multi-level drilldown (Country→State→City→Store) with YoY/MoM/YTD Time Intelligence for 30+ users across 5 regions.
↓ 50% reporting time
Power BIDAXSQLPython
Rebuilt on synthetic data: Power BI report →
03
Snowflake Data Engineering
JSON pipelines with FLATTEN & LATERAL joins. Streams for CDC, Replication for resilience, AI-assisted query optimisation.
↓ 35% query time (SQL Server, PostgreSQL & Snowflake)
SnowflakeStreams + TasksMERGEPython
Rebuilt on synthetic data: CDC pipeline →
04
AI Report Automation & NL-to-SQL
Automated report generation via Claude AI for scheduled emails. NL-to-SQL system for non-technical stakeholders.
↓ 50% manual effort
Claude APIPythonDuckDBStreamlit
▶ Live demo   NL-to-SQL code →   Report automation code →
05
Financial & Inventory Performance Hub
P&L (Revenue, GP, EBITDA) with variance analysis. Real-time On-Hand, In-Transit & Aging stock across 5 BUs.
↓ 40% discrepancy time
Microsoft FabricPySparkDeltaPower BI
Rebuilt on synthetic data: inventory & OTIF lakehouse →
06
HR Analytics Dashboard
Headcount, attrition & recruitment velocity with RLS for 5 role levels across 500+ employees. Identified 20% cost saving.
20% cost saving identified
PythonPlotlyDAX spec
HR page: design prototype →
07
Customer Churn Analysis
Cohort & funnel analysis identified top 3 churn drivers. Automated cleaning pipeline cut preprocessing by 60%.
↓ 60% preprocessing time
Pythonscikit-learnSHAPDuckDB
Rebuilt on synthetic data: churn model →
08
Retail & Category Performance
Pareto 80/20 analysis for top-5 categories. Market Basket Analysis & store-level dashboards for regional benchmarking.
↑ 45% benchmarking efficiency
Pythonpandaspytest
Rebuilt on synthetic data: Pareto ABC code →
Technical Skills
☁ Cloud & Fabric
Microsoft FabricOneLakeLakehouseFabric WarehouseSnowflakeStreams · CDCReplication
📊 Power BI & DAX
Power BIDAXPower QueryStar SchemaRLSDrillthroughTime Intelligence
🗃 SQL & Databases
Advanced SQLCTEsWindow FunctionsStored ProceduresPostgreSQLMySQLSQL Server
💻 Python
PythonPandasNumPyMatplotlibSeabornEDAETL Pipelines
⚙ ERP
D365 Business CentralDynamics AXERP Reporting
🤖 AI & Automation
Claude AIChatGPTGeminiPrompt EngineeringNL-to-SQLMail Automation
📄 Excel & Reporting
Advanced ExcelXLOOKUPPower PivotVBA MacrosMIS Reporting
Education
2023 · Certified
Data Analytics Certification
Ducat IT Training School, Noida
2022 · MBA
MBA — Marketing & HR
GL Bajaj Inst. of Technology & Mgmt.
69.27%
2019 · B.Com
B.Com (Honours)
Banaras Hindu University, Varanasi
72.96%
2019 · UGDCA
UGDCA — Computer Applications
Banaras Hindu University, Varanasi
61.08%
Achievements
🏆
Employee of the Month
Walitechs Solutions Pvt Ltd
🎓
Data Analytics Certified
Ducat IT Training School, 2023
🎓
MBA — Marketing & HR
GL Bajaj Institute, 2022
Interests
Cloud ArchitectureData VisualisationAI AnalyticsPython AutomationPrompt EngineeringManga