01 / Data Science
I started by building practical work: search, RAG, OCR, scraping, prediction, anomaly detection, dashboards, and operational automation.
Mohit Sai Krishna Peddakotla · IIM Sirmaur MBA 2025-2027
Data scienceexecution,businessdecisions.
From data science execution tobusiness decision-making
Technology-trained MBA candidate at IIM Sirmaur, with a Computer Science foundation from VIT Vellore and hands-on Data Science Engineer experience. I am now building toward product management, marketing, strategy, consumer behavior, and decisions that connect analysis to action.
Thesis
From modelsand automationto the decisionsthey support.
From models and automationto the decisions they support.
My first professional chapter was hands-on: building models, automation flows, document intelligence, image-led discovery, pricing dashboards, and alerts. The MBA chapter is helping me look beyond the build: what decision is being improved, who uses it, what trade-offs matter, and how value is measured.
Data Science
I started by building practical work: search, RAG, OCR, scraping, prediction, anomaly detection, dashboards, and operational automation.
Business Judgment
The MBA is helping me move from execution to sharper questions around product choices, marketing problems, pricing signals, and strategy.
Customer Context
I am especially interested in how analysis becomes useful when it reflects real customer behavior, adoption barriers, and decision trade-offs.
Progression
Technical work, business judgment, customer context.
02 / Business Judgment
The MBA is helping me move from execution to sharper questions around product choices, marketing problems, pricing signals, and strategy.
03 / Customer Context
I am especially interested in how analysis becomes useful when it reflects real customer behavior, adoption barriers, and decision trade-offs.
Background
CSE foundation, data science and an MBA lens.
CSE foundation, data science work, and an MBA lens.
I studied Computer Science and Engineering at VIT Vellore, then moved into Data Science and Applied AI work in Bangalore. At BigHaat, I worked across order behavior, content workflows, logistics, pricing intelligence, and internal decision support. At IIM Sirmaur, I am adding a business-school lens to what should be built, who it serves, how it is adopted, and what decisions it changes.
Current education
MBA at IIM Sirmaur
2025-2027
Technical foundation
B.Tech CSE, VIT Vellore
CGPA 9.15/10 · 2019-2023
Professional work
Data Science Engineer
Bangalore · Mar 2024-Mar 2025
Internship chapter
Data Science Intern
Sep 2023-Mar 2024
Current direction
Product, marketing, strategy
Data Science · Applied AI · Business Intelligence · Consumer behavior
Retail note
Customer behavior observations
Retail and customer-behavior observations through CM Silks
Grounded markers
Data Science Engineer · Mar 2024-Mar 2025
Data Science Intern · Sep 2023-Mar 2024
500+ LeetCode problems solved
JEE Mains 97.9 percentile
TS EAMCET rank 1143 out of 2.42 lakh candidates
Working toolkit
PythonJavaC++JavaScriptHTML/CSSLLMsChainlitStreamlitFastAPIGitSeleniumScrapyNodeExpressReactTrino/PrestoSQLMySQLPostgreSQLMongoDB
Selected archive
Data Science business signals, and MBA notes.
Data Science work, business signals, and evolving MBA notes.
A preview of the full archive: AI-assisted discovery, document intelligence, automation, pricing insight, customer-behavior notes, and MBA case work. Each item is framed around the problem, the decision it supported, and what I learned from building it.
View full archiveApplied AI & Data ScienceShipped
Visual Product Discovery
Image-led search flow that reduced discovery friction when users did not know the exact product name.
OpenAI · FastAPI · Image processing
Applied AI & Data ScienceBuilt
Document Intelligence for Faster Lookup
RAG workflow for searching PDFs and internal documents without repeated manual lookup.
LLMs · RAG · Python
Market / Business IntelligenceBuilt
Competitor Pricing Intelligence
Price crawling, fuzzy matching, and dashboards for tracking competitor movement across 9 sites.
Selenium · Scrapy · PostgreSQL
Retail LearningLearning
Retail & Customer Behavior Notes
A small learning note on customer education, trust, category understanding, and local retail behavior.
Content planning · Customer observation · Retail positioning
MBA Case NotesBuilding
MBA Case & Market Notes
A future space for product, marketing, strategy, consumer behavior, and market analysis work.
Product thinking · Marketing · Strategy
Journal
Notes I wantto turn intopublic thinking.
Notes I want to turninto public thinking.
This section is intentionally modest for now. It will grow from work I have actually done and questions I am studying: product, marketing, Applied AI, retail, and consumer behavior.
View journal foundationProduct notes from a data science background
Short reflections on how technical work changes when the starting point becomes user need, adoption, and business value.
Retail and customer behavior notes
Notes on customer education, trust, category understanding, and how purchase decisions form in local retail.
Applied AI that improves operating decisions
Practical notes from search, RAG, OCR, scraping, prediction, dashboards, and alerting work.
MBA case notes
Product, marketing, strategy, and consumer behavior notes from the IIM Sirmaur chapter.