📍 India · M.Sc. Economics, IIT Roorkee · B.Sc. Statistics & Mathematics, CSJMU
I'm a Tableau Developer with 4+ years building BI for Healthcare, Real Estate, EdTech, and Enterprise teams, delivering Tableau and Tableau Next solutions across 11 client engagements in 6+ industries. Working on the reporting layer showed me that most problems in a dashboard start upstream, in ingestion, modeling, and data quality. So I've moved into engineering that upstream layer myself.
My recent work is end to end: metadata-driven ingestion with ADF, medallion transforms on Databricks, a dbt Gold layer with tests in CI, Kafka + Structured Streaming with Airflow, and the Power BI / Tableau layer on top. I'm looking for Tableau Developer and Analytics Engineer roles where I can own the path from raw data to a dashboard number the business trusts.
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Predicts which of 10,000 SaaS accounts will churn, using product telemetry plus sentiment features from support tickets. In the data, negative sentiment shows up 2–3 weeks before usage drops.
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Turns a video link or upload into clean, searchable text. FastAPI hands jobs to Celery workers (yt-dlp + ffmpeg + speech-to-text), which write output to S3-compatible storage. Includes timestamp navigation, keyword search, and multi-format export. 
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8 analytical views for pharma sales managers: rep performance, doctor engagement, effort vs. output, target achievement, and call-outcome quality.
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Finance, Sales, Marketing, Supply Chain, and Executive views for a consumer-electronics company across 27+ markets. Star schema over 1M+ transactions, tracking net sales, gross margin %, and forecast accuracy.
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More projects
- BRSR / ESG Data Story: an interactive walkthrough of ESG capability data for 99 companies, covering Spearman correlation with Holm correction, Poisson regression (IRR), robust SEs, and ANOVA.
- E-commerce Lakehouse ML Pipeline: Databricks Bronze/Silver/Gold feature pipeline feeding purchase-prediction and recommendation models.
- AtliQ Hotels — Hospitality EDA: Pandas analysis of occupancy, revenue, cancellations, and channel mix across four cities.
- Sales & Finance Analytics: Excel / Power Query P&L across 15+ markets and 200+ customers.
- Reference notes: dbt cheatsheet · Tableau cheatsheet · SQL prep
BI & Visualization
Analytics Engineering & Data Platforms
Languages, Databases & Tooling
Aug 2025 ── Present Tableau Developer · Kloudrac Group
Sep 2024 ── Aug 2025 Freelance Data Analyst
Jan 2024 ── Sep 2024 Associate Solution Leader · Brane Enterprises
Jun 2022 ── Dec 2023 SME → Product Analyst · TutorBin
Tableau Developer · Kloudrac Group Aug 2025 – Present
- Delivered Tableau analytics for 11 client engagements across 6+ industries (healthcare, pharma, real estate, logistics, manufacturing, renewable energy), from requirements gathering to dashboard handover
- Built a 5-page Tableau app for an 8-hospital doctor-referral program (30K+ field visits, 3.8K referrals, 45+ reps), with drill-through from network to hospital to rep, parameters and month-on-month calculations
- Standardized 6 program KPIs with definitions documented inside the dashboard, so all 8 hospitals measured performance the same way
- Built an executive revenue and inventory dashboard for a real-estate business, with quarter-on-quarter comparisons and 5-level sales-hierarchy filters across 15+ projects
- Built 6 Tableau Next POCs on Salesforce Data Cloud for manufacturing, real-estate and healthcare prospects, showing agentic analytics and AI-driven insights
Freelance Data Analyst Sep 2024 – Aug 2025
- Delivered analytics projects for clients in Tableau, Power BI, SQL and Excel, covering data cleaning, KPI design and dashboards
- Built revenue, retention and lead-conversion dashboards that moved clients' recurring reporting from manual Excel files to interactive BI
- Trained 50+ students and professionals in SQL, Tableau and Power BI
Associate Solution Leader · Brane Enterprises Jan 2024 – Sep 2024
- Delivered BI and reporting projects for enterprise stakeholders end to end, from requirements gathering to sign-off
- Built reusable SQL templates and standardized KPI definitions so teams reported with consistent metric logic instead of separate spreadsheets
Subject Matter Expert → Product Analyst · TutorBin Jun 2022 – Dec 2023
- Analysed onboarding behaviour in Mixpanel and identified funnel drop-off points, giving the product team evidence to prioritise improvements
- Built dashboards tracking DAU, 30-day retention, conversion and feature adoption for product and leadership
- Ran funnel and cohort analyses to compare user groups and inform feature prioritisation
- Mentored 50+ students and professionals in statistics, SQL, Power BI and Tableau; supervised interns
- Snowflake + AWS S3: loading raw files from S3 into Snowflake (external stages,
COPY INTO, Snowpipe), with Tableau running on top of Snowflake - Analytics engineering in depth: dbt incremental models, snapshots (SCD2), contracts, and data-quality testing
- Tableau at scale: semantic layers, extract vs. live trade-offs, and performance tuning on warehouse-backed data sources
- AI for analytics: building with the Tableau MCP server (Model Context Protocol) so an LLM can query published data sources and Pulse metrics, alongside Tableau Next agentic analytics
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Education
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Certifications (Codebasics)
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