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Sai Prem Telkar

Lead Data Analyst · 8 years across SaaS, Fintech, Fitness, and Automotive. I build self-serve data systems, uncover product insights, and turn messy data into decisions that actually move metrics.
Years experience
0
▲ Across 4 industries
Tools & platforms
0
▲ In active use
Skills acquired
0
▲ Core competencies
Self-hosted projects
0
▲ Documented in lab
What I do

Turning information into action, one insight at a time

01

Product Analytics

Funnel analysis, A/B testing, and deep-dives to identify what drives growth and where users drop off.

02

Data Storytelling

Clear, decision-ready narratives that help founders and PMs act fast without digging through dashboards.

03

Dashboard Design

Clean, self-serve dashboards that reduce ad-hoc asks and actually get used by teams.

04

Workflow Automation

Automating repetitive data workflows using dbt, lookML and Python to save hours every week.

Currently● live

Lead Data Analyst @ Freshworks

Leading analytics for Platform, Freddy AI Insights, and Core Analytics across CX, EX, and CRM.

Education
Reva University
Jun 2014 - May 2018
BTech in Computer Science. CGPA 8.0.
Based in
Bengaluru, India
UTC+5:30 · Available for collaboration
Career timeline

5 companies, 8 years, 1 throughline

Freshworks
Lead Data Analyst
Freshworks
Jul 2025 - Present
  • Led RCA for AI Agent CX - identified dilution problem (accounts 2×, sessions 1/3×); quantified root causes via waterfall analysis and changed data collection strategy.
  • Defined active account from product signals; established Core Analytics framework by instrumenting ~130 events in Userpilot; power user analysis featured in exec deck.
  • For FY26 goal setting, profiled ~30 top Marketplace apps to estimate addressable audience and identify achievable growth targets.
  • Established baseline adoption metrics for Freddy AI Personalized Insights on Freshservice; set up dashboards for Conversational Analytics and Proactive Insights ahead of CX launch.
  • Built KPI dashboard for Federated Search tracking success/failure rates and document ingestion across SharePoint, Drive, and other sources.
  • Created observability dashboard for FreshID (unified identity across 5 products), monitoring key product KPIs.
Postman
Data Analyst
Postman
Dec 2023 - Jul 2025
  • Managed analytics for trial conversion, user segmentation, and marketing attribution across Postman's 40M+ developer platform, directly supporting revenue growth.
  • Created comprehensive Looker dashboards enabling data-driven decisions across marketing and product teams.
  • Built scalable dbt pipelines with incremental strategies, Type 2 SCDs via snapshots, and table/view/ephemeral materializations.
  • Managed marketing analytics infrastructure including Inflection, Segment, and Iterable integrations.
  • Led data documentation initiatives across central marketing tables, explores, and dashboards to improve accessibility and user onboarding.
Cure.Fit
Data Analyst
Cure.Fit
Aug 2023 - Nov 2023
  • Contributed to year-end Wrapped feature in Cult app (15M+ downloads) - defined metrics and pipelined data for a Spotify Wrapped-style experience.
  • Tightened no-show policy to reduce capacity wastage from 30% to 25%.
  • Monitored performance of retention experiments.
FamPay
Data Analyst
FamPay
Jan 2021 - Jul 2023
  • Founding analyst for 2.7 years at a 10M+ user neobank for teens, owning analytics end-to-end across product, growth, and business.
  • Active in A/B experiments, RCAs, qual calls, surveys, investor metrics, and funnel drop studies.
  • Set up dashboards across Product, Finance, Design, Marketing, and Customer Support.
  • Ran Habit Moment analysis - identified the event representing habit formation among retained users.
  • Led x-to-10x project: studied and automated user hurdles, built a bot to solve frequent problems.
  • Built self-serving fact tables to increase data accessibility and help the org become data-driven.
Convergytics Solutions
Business Consultant
Convergytics Solutions
Jan 2018 - Dec 2020
  • Created adhoc and recurring reports, conducted hypothesis testing, supported new product launches, and performed RFM analysis.
  • Designed Tableau dashboards for supply-chain and manufacturing KPIs (Due Date Performance, Lead Time) with complex filters and parameters.
  • Optimized SQL queries and built intermediary views/tables to improve dashboard performance.
  • Collaborated across Consumer Orders, Quality, and Logistics departments to align BI solutions with business needs.
  • Managed end-to-end campaign analytics including targeting, post-campaign analysis, and async coordination with foreign clients.
  • Decision support for major Indian jewelry brand - analyzed 1.8 Cr+ customer records for buying trends, demographics, and product performance.
Core skills9
SQLAdvanced
Product AnalyticsAdvanced
Data ModelingAdvanced
Dashboard DesignAdvanced
Funnel AnalysisAdvanced
A/B TestingIntermediate
PythonIntermediate
Data StorytellingAdvanced
LookMLIntermediate
Tools & platforms14
Databricks
Tableau
Power BI
Metabase
Looker
dbt
Snowflake
Amplitude
Mixpanel
Heap
CleverTap
Hevo
Userpilot
Segment
THE LAB · 14 PROJECTS

Things I build for myself, because friction annoys me.

A collection of self-hosted systems, automated workflows, and AI-in-the-loop experiments - tools that quietly run my life.
In the lab
14
projects
CHAPTER 01
Self-Hosted Systems
Tools and services I run on my own infrastructure - built for control, cost, and curiosity.
06 items
№ 01 / 06Self-Hosted Systems

Your own Netflix. Zero subscriptions.

Think of any movie, request it, and it just shows up on my TV within minutes - no subscriptions, no searching across platforms. Friends and family can do the same from anywhere and stream in the highest quality. Behind the scenes, Jellyfin runs on my Mac Mini with Radarr, Sonarr, and Seerr automating the entire pipeline, all tunneled securely via Cloudflare.

JellyfinSonarrSeerrRadarrBitTorrentProwlarrProfilarrGluetunBazarrDockerCloudflare
№ 02 / 06Self-Hosted Systems

If I can map the flow, I can automate it.

Bank emails land, get parsed by AI, and show up in my budget — without me touching anything. Docker containers ping me with an AI-written changelog summary before they update. Every Saturday, a narrative of my weekly spending hits my inbox. If any automation breaks, AI diagnoses it and alerts my phone within 5 minutes. Many more workflows, zero manual input, all running on a self-hosted n8n instance I control completely.
n8nDockerAutomation
№ 03 / 06Self-Hosted Systems

A BI tool for my life.

Any question about my data - finances, health, habits - I can answer instantly with a query or a dashboard. It feels like having my own analytics stack for life. This runs on a self-hosted Metabase instance backed by Supabase Postgres.
MetabaseSQLSupabase
№ 04 / 06Self-Hosted Systems

My second brain, fully searchable.

Anything I want to read or remember - articles, links, notes - lands in one place, auto-tagged by AI and searchable across every word. No algorithm deciding what surfaces. Powered by Karakeep with Meilisearch for full-text search and AI for automatic tagging.

KarakeepMeilisearchAISelf-hosted
№ 05 / 06

A blog I actually own.

My writing lives on infrastructure I control - no platform paywalls, no algorithmic suppression, no data handed to a third party. Just words, fast, and mine. Built on Astro, containerized with Docker, and served from my Mac Mini via Cloudflare. Visit blog.saiprem.net to see it in action.
AstroDockerSelf-hostedCloudflare
№ 06 / 06

Mission control for everything I run.

One dashboard showing the live status of every service I run - whether it's up, what's consuming resources, and direct access to each tool. No more tabbing between admin UIs. Powered by Homarr with Docker socket integration for real-time container health.
HomarrDockerDashboardSelf-hosted
CHAPTER 02
Money, Automated
Systems that track, analyze, and optimize my finances - without manual effort.
01 items
№ 01 / 01Money, Automated

I don't track expenses. They track themselves.

I never log expenses manually, yet my budget is always up to date. Every transaction just appears, categorized and ready - so I can answer things like 'Can I afford x product next month?' instantly.

Pythonn8nYNAB
CHAPTER 03
Parts of life, automated
Anything repetitive in my life, I try to automate it.
01 items
№ 01 / 01Parts of life, automated

My home runs itself.

My home just knows what to do - lights turn on in the evening, hot water is ready before I step in, and nothing runs when I'm not home. It's completely hands-off, powered by Home Assistant and automation workflows.

Home AssistantIoTAutomation
CHAPTER 04
AI in Daily Life
Using AI to make better decisions across health, habits, and everyday workflows.
02 items
№ 01 / 02AI in Daily Life

Health advice, based on my actual data.

I upload years of bloodwork, full-body scans, ECG, MRI, DEXA, diet logs, workout plans, and skincare products into Claude Projects - and get health answers based on my actual body, not generic advice.

HealthClaude ProjectsPersonalized AI
№ 02 / 02AI in Daily Life

AI that doesn't wait to be asked.

Instead of asking AI questions, it watches out for me - nudging me about weather, travel, launches, or things I might miss. It feels like having a quiet assistant in the background. Achieved through Poke AI
Poke AIAI AgentsAutomation
CHAPTER 05
Product Influence
Communities and early programs where I actively shape products through feedback and real usage.
04 items
№ 01 / 04Product Influence

Notion Champions

Part of Notion's global power user community with early access, roadmap input, and direct feedback loops.

Notion
№ 02 / 04Product Influence

Houseware (acq. LaunchDarkly)

Tested and shaped early product analytics tooling from a practitioner's lens before acquisition.
Analytics
№ 03 / 04Product Influence

Plum - Patron

Invite-only program contributing structured feedback on health and insurance products.
InsurTech
№ 04 / 04Product Influence

BeYours

Used the product extensively from its early days, surfacing friction points and sharing real-world feedback to help improve the experience.

Early AdopterProduct Feedback

Have a data problem worth solving?

I'm always up for conversations about analytics infrastructure, product insights, or interesting data challenges. Let's talk.