Hiring for a role
The internship and the two businesses behind it, plus a resume you can take with you.
See the experience
Hello, I'm
Rajeshwar Shingade
- Product Analyst
- Data Analyst
I track what users do in a product, find the behaviour behind the drop-off, and turn it into the change worth shipping.
- shingade27r@gmail.com
- B.Tech in Data Science
- Product & Data Analytics
- Khargone, Madhya Pradesh
Start here
What brings you here?
Three different people read this page for three different reasons. Pick whichever one is you and jump to it.
Need something built
How an engagement runs, and a record of things already built and running end to end.
How I workReviewing the work
A live analytics dashboard, a data-engineering course, and the repositories behind them.
See the projectsGet to know
About me
Product Analyst turning behaviour into decisions
I work at the intersection of product analytics and data analytics. That means tracking what users actually do inside a product, defining the metric that explains why, and running the SQL and Python behind it to find out what changed — then reporting it in a form a product team will act on.
My stack is SQL, Python, Power BI and Excel for the analysis, and Google Analytics, Microsoft Clarity, Mixpanel and Optimizely for the product side: funnels, retention, session behaviour and experiment readouts. I clean and validate data first, because a metric built on bad rows is worse than no metric at all.
Beyond the tooling I run two businesses end to end — an app studio and an e-commerce supply venture. That is where I learned pricing, inventory and demand forecasting as numbers that have to work in a real month, rather than as a case study. I am a B.Tech Data Science student at Abhyuday University and was a Data Analyst Intern at Stuffmatic.
Track record
Experience
One internship and two businesses, run hands-on rather than advised on. The businesses are here deliberately: owning pricing and inventory is where the judgement behind a recommendation comes from, and no course teaches it.
Internship
Jun 2025 — Jan 2026Data Analyst Intern — Stuffmatic
Eight months inside a working data team, on the unglamorous part of analytics that decides whether anything downstream is trustworthy.
- Cleaned and validated raw business data in Excel and SQL, resolving missing values, duplicates and inconsistent entries before any analysis ran.
- Built and automated reports in Power BI and Python, tracking KPIs and presenting the findings to stakeholders.
- Applied descriptive and statistical analysis to surface trends, outliers and recurring issues.
- Documented the analysis steps, data definitions and reporting logic so the work could be re-run and handed over.
2023 — Present
A one-person product studio. Each engagement runs scope, design, build, verify and support — which is the same loop a product team runs, at one-person scale.
- Design, build, test and ship Android apps end to end, as signed APKs that sideload with no store account and no subscription.
- Write requirements and acceptance checks before implementation, then verify every requirement against what actually shipped.
- Own the full delivery cycle — scoping, client communication, release and post-release support.
2024 — Present
An e-commerce supply business moving fresh, thornless Opuntia pads directly to farming, research, skincare and vegan-leather buyers across India.
- Run pricing, inventory, logistics and demand forecasting — the operational numbers behind a real order book.
- Use sales and consumption data to forecast demand and manage stock, reducing expiry and holding risk.
- Handle the whole customer cycle, from enquiry through delivery, for orders from 5 kg to 1000 kg.
What I do
What you can hire me for
Four areas, each with the tools that produce it and something you can go and check. The links are the point — a list of technologies tells you nothing about whether the person will be useful.
Product analytics and funnel work
Answers to what users did and why they stopped — funnels, retention, drop-off points and experiment readouts, not a dashboard nobody opens.
Most product teams have the events and no read on them. I define the event and the funnel that actually answers the question being asked, instrument it, and come back with where the loss is and what is worth testing next. The output is a recommendation with a number attached, not a chart handed over for someone else to interpret.
- Google Analytics
- Microsoft Clarity
- Mixpanel
- Optimizely
- SQL
- Python
Analysis that ends in a decision
Dashboards and reports a manager reads in ten seconds — not a table of numbers they have to interpret themselves.
Most reporting answers a question nobody asked. I start from the decision that has to be made, define the metric that actually settles it, and build only what that decision needs — so the answer stays visible instead of being buried in a chart nobody opens twice.
- Power BI
- Excel
- SQL
- Python
- Matplotlib
Data work that survives next month
Cleaned, validated analysis that runs exactly the same way again without anyone rebuilding it by hand.
A raw export nobody else can read is the normal starting point, not the exception. I clean and validate it, write the query behind the number so it is reproducible, and hand it over documented — because an analysis that only ever existed in one laptop has not really been delivered.
- Python
- Pandas
- NumPy
- SQL
- Statistics
Software, built end to end
Working applications — designed, built, tested and shipped — not scripts, notebooks and slideware.
An analysis nobody can act on is just a spreadsheet. I build the thing that does the job: a signed Android app, a live dashboard, or an automated pipeline, taken through to something that runs and is still running a year later.
- Android
- TypeScript
- React
- Next.js
- Testing
Full toolkit
Two toolchains, used for different jobs. The product analytics platforms answer what users actually did; the data stack is what turns that into a number you can defend. The rest is the delivery and communication work that turns either one into a change somebody ships.
Product Analytics
- Google Analytics
- Microsoft Clarity
- Mixpanel
- Optimizely
Data & Reporting
- Data Analysis
- Data Cleaning
- Data Visualization
- Statistics
- Data Presentation
- Report Making
Tools & Technology
- Excel
- SQL
- Python
- Power BI
- Google Colab
- GitHub
Product & Delivery
- Jira
- Testing
- Project Management
- Teamwork
- Communication
- Presentation
The work
What I have built
Six things built rather than a list of things half-built: a data-engineering course you can start right now, an analytics dashboard, three shipping products, and a competition entry taken from research to pitch.
Analytics DashboardMar — Apr 2026
OLA Ride Booking Data Analytics
Operational insight from a 50,000-record ride-booking dataset. Booking volume, fare, distance, ratings and cancellations, broken down by vehicle type, pickup and drop zone, payment method and cancellation cause. Delivered as a dashboard you can open, plus a written insight layer that quantifies what each finding is worth rather than only describing it.
- SQL
- Python
- Power BI
- Excel
- Chart.js
Interactive Course · Web2026
Data Foundry
An interactive data-engineering course that teaches the stack in the order a data team uses it: Python, SQL, pandas, APIs, ETL/ELT, Git/Linux/Docker, Airflow, PySpark, cloud warehousing, dbt and Kafka. Sixteen modules and 240 questions, with each module gated behind a 10/15 pass mark and progress saved in the browser.
- React
- Vite
- JavaScript
- sql.js
- localStorage
Product · Android + Web
KiranaTrack
Smart expiry and inventory tracker built for kirana stores. Tracks stock and expiry dates, calculates sales velocity to recommend reorder quantities, and surfaces margin leaks and slow-moving stock — turning a shop's own sales data into restocking, billing and insight screens.
- React
- Next.js
- TypeScript
- Capacitor
- Android
Product · Android
StudyFlow
A focus timer and weekly timetable that keeps an honest study record — including the days you meant to study and did not, and the reason each one was missed. Built as an Android app with a live lock-screen countdown, subject-level insights, a 26-week heatmap and entirely local storage.
- React
- Next.js
- TypeScript
- Capacitor
- Android
Product - Android2026
TaskPulse
A tactile to-do list and reminder app built around the moment a task is due: a live countdown, a chosen lead time, stacked nudges and a snooze that keeps the task in play. Tasks carry custom categories with their own icon and tone, times are always shown with AM/PM, and a monthly feedback prompt and studio update feed keep the app improving without an account or a subscription.
- React
- Vite
- JavaScript
- Android WebView
- Java
- localStorage
Youth Innovation Competition
L'Oréal Brandstorm 2026
A consumer-brand and youth-focused product challenge, taking an idea from research through to a presented solution. Applied the same discipline as the analytics work: understand the user, define what would have to be true, and present it in a way a panel can act on.
- Market Research
- Consumer Insight
- Presentation
Process
How I work
Fixed order, and the verify step is the one most people skip. On a CV full of similar candidates, this is usually what decides between them.
- 1
Understand
Before anything is built, the question gets pinned down: what decision does this need to support, and who is the one making it. A vague brief is the usual reason a dashboard ends up unused.
- 2
Define
The metric is agreed in writing before any work starts, because a number that was never defined cannot be checked afterwards — and an undefined number is exactly where projects quietly go wrong.
- 3
Instrument
For product work, the events and funnels get built before the analysis does. A funnel defined after the fact is a funnel that agrees with whatever the answer already was.
- 4
Verify
The result is checked against the question it was meant to answer and the edge cases are tested. What the analysis does *not* cover gets said out loud, rather than left for someone to discover later.
- 5
Hand over
You get the work, the code behind it, and documentation written so it can be re-run or extended without me. The point is that it keeps working after this ends.
Evidence
Education, training and certifications
The checkable part. Certifications are linked to their real verification pages — anyone can confirm them, and so can you.
Education
- 2024 — 2028
B.Tech in Data Science Engineering
Abhyuday University, Khargone — Pursuing
First-year topper.
- 2023 — 2024
Higher Secondary (XII), PCMB
Rumas, Latur — 76.60%
- 2019 — 2022
ITI, MMV
Government ITI, Latur — 79.90%
- 2018 — 2019
Secondary (X), SSC
Yashwant Vidyalaya, Latur — 78.90%
Training & workshops
External training, kept separate from the degree so the two are not read as the same claim.
The Modern Data Analyst Workshop
MX
Verified certifications
Each one links to its real verification page, so the claim is checkable rather than asserted.
SQL
HackerRankMilestones
Academic and co-curricular record during the engineering degree.
2024 — 2025
First-year topper
Academic performance
Recognised for consistent excellence across the full first-year B.Tech coursework.
Sports representative, Engineering Department
Represented the department in sports activities, building teamwork and discipline alongside the degree.
Collaboration edge
Tools only go so far. The rest is whether the person handing you the number will also tell you what it does not cover.
Communication & Alignment
Turning analysis into something people actually act on — clear updates, shared context, and expectations set before they are missed.
- Communication
- Stakeholder Management
Problem Solving & Quality
Coming at a vague business question with structure, and checking the edge cases that would make a wrong number look right.
- Problem Solving
- Attention to Details
Learning Mindset
Asking the better question when the first answer is too easy, and treating feedback as the cheapest input available.
- Curiosity
Reach out
Let's work together
If you have a role, a project, or a product whose data needs making sense of, I would like to hear about it.
Product analytics, data analytics, and the dashboards that turn both into a decision. The quickest route for a role is the resume; the form below gets you a typed answer rather than a PDF read later.